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ORCIDBjörn M. Eskofier
Bjoern M. Eskofier
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- affiliation: University of Erlangen-Nuremberg, Germany
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Books and Theses
- 2008
[b2]Björn M. Eskofier:
Verbesserung der objektiven Beurteilung von Videoqualität - Modellierung des zeitlichen Verhaltens des menschlichen visuellen Systems. VDM 2008, ISBN 978-3-8364-8806-8, pp. I-X, 1-114- [b1]Björn M. Eskofier:
Non-Rigid 3D SPECT/CT Image Registration - Registration of Myocardial Datasets. VDM 2008, ISBN 978-3-639-08985-1
Journal Articles
- 2025
- [j117]Christoffer Löffler
, Wei-Cheng Lai, Dario Zanca, Lukas Schmidt, Björn M. Eskofier, Christopher Mutschler:
Don't get me wrong: How to apply deep visual interpretations to time series. Appl. Intell. 55(13): 920 (2025) - [j116]Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca:
FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks. Int. J. Comput. Vis. 133(10): 7437-7459 (2025) - [j115]Philipp Dumbach, Leo Schwinn, Tim Löhr, Tassilo Elsberger, Bjoern M. Eskofier:
Artificial intelligence trend analysis in German business and politics: a web mining approach. Int. J. Data Sci. Anal. 20(2): 819-840 (2025) - [j114]Katharina M. Jaeger, Michael Nissen, Heike Leutheuser, Nina Danzberger, Adriana Titzmann, Constanza A. Pontones, Chloë Goossens, Philipp Ziegler, Sabrina Uhrig, Lothar Haeberle, Hannah Bleher, Kristina Kast, Johannes Kornhuber, Oliver Schoeffski, Matthias Braun, Peter A. Fasching, Matthias W. Beckmann, Bjoern M. Eskofier, Hanna Huebner:
Adherence to digital pregnancy care - lessons learned from the SMART start feasibility study. npj Digit. Medicine 8(1) (2025) - [j113]Christoph F. Kurz, Tatiana Merzhevich, Bjoern M. Eskofier, Jakob Nikolas Kather, Benjamin Gmeiner:
Benchmarking vision-language models for diagnostics in emergency and critical care settings. npj Digit. Medicine 8(1) (2025) - [j112]Rodrigo da Rosa Righi, Vinicius Facco Rodrigues, Cristiano André da Costa, Björn M. Eskofier:
Breaking Down the Data Path in Digital Health: From Edge to Fog and Beyond. IEEE Pervasive Comput. 24(1): 70-81 (2025) - [j111]René Raab, Arijana Bohr, Kai Klede, Benjamin Gmeiner, Bjoern M. Eskofier:
Estimating Group Means Under Local Differential Privacy. Proc. Priv. Enhancing Technol. 2025(4): 236-274 (2025) - [j110]Sophie Fleischmann, Simon Dietz, Julian Shanbhag, Annika Wuensch, Marlies Nitschke, Jörg Miehling, Sandro Wartzack, Sigrid Leyendecker, Bjoern M. Eskofier, Anne D. Koelewijn:
Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach. ACM Trans. Intell. Syst. Technol. 16(1): 20:1-20:19 (2025) - [j109]Fatemeh Salehi, Sara Bayat, Georg Schett, Arnd Kleyer, Thomas Altstidl, Bjoern M. Eskofier:
ExSMART-PreRA: Explainable Survival and Risk Assessment Using Machine Learning for Time Estimation in Preclinical Rheumatoid Arthritis. IEEE J. Biomed. Health Informatics 29(8): 6017-6028 (2025) - [j108]Bobak J. Mortazavi, Yu-Chiao Chiu, Lei Lu, Arun Das, Georgia D. Tourassi, Bjoern M. Eskofier:
Guest Editorial: Transforming Healthcare and Medicine With Biomedical Informatics and Emerging AI. IEEE J. Biomed. Health Informatics 29(9): 6128-6131 (2025) - 2024
- [j107]Johannes Roider, An Nguyen, Dario Zanca, Bjoern M. Eskofier:
Assessing the Performance of Remaining Time Prediction Methods for Business Processes. IEEE Access 12: 130583-130601 (2024) - [j106]Katharina M. Jaeger, Michael Nissen, Madeleine Flaucher, Luisa Graf, Joana Joanidopoulos, Lars Anneken, Hanna Huebner, Chloë Goossens, Adriana Titzmann, Constanza Pontones, Peter A. Fasching, Matthias W. Beckmann, Bjoern M. Eskofier, Heike Leutheuser:
Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data. IEEE Access 12: 160794-160804 (2024) - [j105]Kai Klede, Thomas R. Altstidl, Dario Zanca, Björn M. Eskofier:
The Impact of Random Models on Standardized Clustering Similarity. IEEE Access 12: 179879-179890 (2024) - [j104]Philipp Dumbach, Leo Schwinn, Tim Löhr, Phi Long Do, Bjoern M. Eskofier:
Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach. Evol. Intell. 17(4): 2145-2166 (2024) - [j103]Stefan Foerstel, Markus Förstel, Markus Gallistl, Dario Zanca, Bjoern M. Eskofier, Eva Rothgang:
Data quality in hospital information systems: Lessons learned from analyzing 30 years of patient data in a regional German hospital. Int. J. Medical Informatics 192: 105636 (2024) - [j102]Jannik Koegel, Stacy Huerta, Markus Gambietz, Martin Ullrich, Christian Heyde, Eva Dorschky, Björn M. Eskofier:
Clustering Runners' Response to Different Midsole Stack Heights: A Field Study. Sensors 24(14): 4694 (2024) - [j101]Raul C. Sîmpetru, Andreas Arkudas, Dominik I. Braun, Marius Osswald, Daniela Souza De Oliveira, Bjoern M. Eskofier, Thomas Kinfe, Alessandro Del Vecchio:
Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 71(12): 3556-3568 (2024) - [j100]Ann-Kristin Seifer, Arne Küderle, Eva Dorschky, Hamid Moradi, Ronny Hannemann, Bjoern M. Eskofier:
Step Length and Gait Speed Estimation Using a Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms. IEEE J. Biomed. Health Informatics 28(11): 6619-6628 (2024) - [j99]Philipp Schlieper, Hermann Luft, Kai Klede, Christoph Strohmeyer, Björn M. Eskofier, Dario Zanca:
Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. ACM Trans. Knowl. Discov. Data 18(7): 178 (2024) - 2023
- [j98]Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Björn M. Eskofier:
Exploring misclassifications of robust neural networks to enhance adversarial attacks. Appl. Intell. 53(17): 19843-19859 (2023) - [j97]João Elison da Rosa Tavares, Martin Ullrich, Nils Roth, Felix Kluge, Bjoern M. Eskofier, Heiko Gaßner, Jochen Klucken, Till Gladow, Franz Marxreiter, Cristiano André da Costa, Rodrigo da Rosa Righi, Jorge Luis Victória Barbosa:
uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. Biomed. Signal Process. Control. 81: 104394 (2023) - [j96]Kenneth MacSporran Mayer, Alessandro Del Vecchio, Bjoern M. Eskofier, Dario Farina:
Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion. Biomed. Signal Process. Control. 86(Part B): 105178 (2023) - [j95]Alzhraa A. Ibrahim, Werner Adler, Heiko Gaßner, Veit Rothhammer, Felix Kluge, Bjoern M. Eskofier:
Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis. Int. J. Medical Informatics 177: 105145 (2023) - [j94]Arne Küderle, Robert Richer, Raul C. Sîmpetru, Bjoern M. Eskofier:
tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation. J. Open Source Softw. 8(82): 4953 (2023) - [j93]Michael Nissen, Nuria Barrios Campo, Madeleine Flaucher, Katharina M. Jaeger, Adriana Titzmann, Dominik Blunck, Peter A. Fasching, Victoria Engelhardt, Bjoern M. Eskofier, Heike Leutheuser:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. npj Digit. Medicine 6 (2023) - [j92]Maximilian P. Oppelt, Andreas Foltyn, Jessica Deuschel, Nadine R. Lang, Nina Holzer, Bjoern M. Eskofier, Seung Hee Yang:
ADABase: A Multimodal Dataset for Cognitive Load Estimation. Sensors 23(1): 340 (2023) - [j91]Christoph Scholl, Maximilian Spiegler, Klaus Ludwig, Bjoern M. Eskofier, Andreas Tobola, Dario Zanca:
An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems. Sensors 23(8): 3798 (2023) - [j90]Ann-Kristin Seifer, Eva Dorschky, Arne Küderle, Hamid Moradi, Ronny Hannemann, Björn M. Eskofier:
EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors. Sensors 23(14): 6565 (2023) - [j89]Martin Ullrich, Nils Roth, Arne Küderle, Robert Richer, Till Gladow, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. IEEE J. Biomed. Health Informatics 27(1): 319-328 (2023) - [j88]Sergio Cerutti, Björn M. Eskofier, Georgia D. Tourassi:
Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology. IEEE J. Biomed. Health Informatics 27(6): 2656-2659 (2023) - [j87]Zhao Ren, Björn W. Schuller, Björn M. Eskofier, Thanh Tam Nguyen, Wolfgang Nejdl:
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things. IEEE J. Biomed. Health Informatics 27(11): 5213-5215 (2023) - [j86]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j85]Vinicius Facco Rodrigues, Rodolfo Stoffel Antunes, Lucas Adams Seewald, Rodrigo Bazo, Eduardo Souza dos Reis, Uélison Jean Lopes dos Santos, Rodrigo da Rosa Righi, Luiz Gonzaga da Silveira Jr., Cristiano André da Costa, Felipe L. Bertollo, Andreas Maier, Bjoern M. Eskofier, Tim Horz, Marcus Pfister, Rebecca Fahrig:
A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites. Future Gener. Comput. Syst. 135: 283-298 (2022) - [j84]Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Cristiano André da Costa, Rodolfo Stoffel Antunes, Rodrigo Bazo, Eduardo Souza dos Reis, Lucas Adams Seewald, Luiz Gonzaga da Silveira Jr., Björn M. Eskofier:
HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms. IEEE Internet Things J. 9(19): 18406-18430 (2022) - [j83]Arne Küderle, Nils Roth, Robert Richer, Bjoern M. Eskofier:
imucal - A Python library to calibrate 6 DOF IMUs. J. Open Source Softw. 7(74): 4338 (2022) - [j82]Maike P. Stoeve, Markus Wirth, Rosanna Farlock, André Antunovic, Victoria Müller, Bjoern M. Eskofier:
Eye Tracking-Based Stress Classification of Athletes in Virtual Reality. Proc. ACM Comput. Graph. Interact. Tech. 5(2): 19:1-19:17 (2022) - [j81]Annette Hagengruber, Ulrike Leipscher, Bjoern M. Eskofier, Jörn Vogel:
A New Labeling Approach for Proportional Electromyographic Control. Sensors 22(4): 1368 (2022) - [j80]Johannes Link, Timur Perst, Maike P. Stoeve, Bjoern M. Eskofier:
Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning. Sensors 22(7): 2560 (2022) - [j79]Jesus D. Ceron, Diego M. López, Felix Kluge, Bjoern M. Eskofier:
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios. Sensors 22(9): 3364 (2022) - [j78]Mohamad Wehbi, Daniel Luge, Tim Hamann, Jens Barth, Peter Kämpf, Dario Zanca, Bjoern M. Eskofier:
Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. Sensors 22(14): 5347 (2022) - [j77]Malte Ollenschläger, Arne Küderle, Wolfgang A. Mehringer, Ann-Kristin Seifer, Jürgen Winkler, Heiko Gaßner, Felix Kluge, Bjoern M. Eskofier:
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data. Sensors 22(15): 5849 (2022) - [j76]Johannes Link, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier:
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning. Sensors 22(21): 8474 (2022) - [j75]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier:
Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements. IEEE Trans. Biomed. Eng. 69(5): 1608-1619 (2022) - [j74]Christoffer Löffler, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Björn M. Eskofier, Christopher Mutschler:
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 6:1-6:23 (2022) - [j73]Rodolfo Stoffel Antunes, Cristiano André da Costa, Arne Küderle, Imrana Abdullahi Yari, Björn M. Eskofier:
Federated Learning for Healthcare: Systematic Review and Architecture Proposal. ACM Trans. Intell. Syst. Technol. 13(4): 54:1-54:23 (2022) - [j72]Nils Roth, Martin Ullrich, Arne Küderle, Till Gladow, Franz Marxreiter, Heiko Gassner, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier:
Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease. IEEE J. Biomed. Health Informatics 26(9): 4733-4742 (2022) - [j71]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention. Trans. Mach. Learn. Res. 2022 (2022) - [j70]Wolfgang A. Mehringer, Markus Wirth, Daniel Roth, Georg Michelson, Bjoern M. Eskofier:
Stereopsis Only: Validation of a Monocular Depth Cues Reduced Gamified Virtual Reality with Reaction Time Measurement. IEEE Trans. Vis. Comput. Graph. 28(5): 2114-2124 (2022) - 2021
- [j69]Jennifer Maier, Andreas K. Maier, Bjoern M. Eskofier, Rebecca Fahrig, Jang-Hwan Choi:
3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT. IEEE Access 9: 71821-71831 (2021) - [j68]An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang, Björn M. Eskofier:
System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data. IEEE Access 9: 117140-117152 (2021) - [j67]Denise Bandeira da Silva, Diogo Schmidt, Cristiano André da Costa, Rodrigo da Rosa Righi, Björn M. Eskofier:
DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration. Expert Syst. Appl. 165: 113905 (2021) - [j66]Mostafa Kamal Mallick, Sarah Biser, Aathira Haridas, Vaishnavi Umesh, Olaf Tönsing, Imrana Abdullahi Yari, Malte Ollenschläger, Maria Heckel, Christoph Ostgathe, Felix Kluge, Björn M. Eskofier, Tobias Steigleder:
Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study. Frontiers Digit. Health 3: 765867 (2021) - [j65]Christine F. Martindale, Vincent Christlein, Philipp Klumpp, Björn M. Eskofier:
Wearables-based multi-task gait and activity segmentation using recurrent neural networks. Neurocomputing 432: 250-261 (2021) - [j64]Robert Richer, Arne Küderle, Martin Ullrich, Nicolas Rohleder, Björn M. Eskofier:
BioPsyKit: A Python package for the analysis of biopsychological data. J. Open Source Softw. 6(66): 3702 (2021) - [j63]Eduardo Souza dos Reis, Lucas Adams Seewald, Rodolfo Stoffel Antunes, Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Cristiano André da Costa, Luiz Gonzaga da Silveira Jr., Bjoern M. Eskofier, Andreas Maier, Tim Horz, Rebecca Fahrig:
Monocular multi-person pose estimation: A survey. Pattern Recognit. 118: 108046 (2021) - [j62]Maike P. Stoeve, Dominik Schuldhaus, Axel Gamp, Constantin Zwick, Bjoern M. Eskofier:
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning. Sensors 21(9): 3071 (2021) - [j61]Markus Wirth, Sebastian Kohl, Stefan Gradl, Rosanna Farlock, Daniel Roth, Bjoern M. Eskofier:
Assessing Visual Exploratory Activity of Athletes in Virtual Reality Using Head Motion Characteristics. Sensors 21(11): 3728 (2021) - [j60]Nils Roth, Arne Küderle, Dominik Prossel, Heiko Gassner, Bjoern M. Eskofier, Felix Kluge:
An Inertial Sensor-Based Gait Analysis Pipeline for the Assessment of Real-World Stair Ambulation Parameters. Sensors 21(19): 6559 (2021) - [j59]Christoph Scholl, Andreas Tobola, Klaus Ludwig, Dario Zanca, Bjoern M. Eskofier:
A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human-Robot Interaction. Sensors 21(21): 7210 (2021) - [j58]Verena Jakob, Arne Küderle, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier, Jürgen Winkler, Martin Winterholler, Heiko Gassner:
Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease. Sensors 21(22): 7680 (2021) - [j57]Johannes Link, Sébastien Guillaume, Bjoern M. Eskofier:
Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors. Sensors 21(23): 7780 (2021) - [j56]Annette Hagengruber, Ulrike Leipscher, Björn M. Eskofier, Jörn Vogel:
Electromyography for Teleoperated Tasks in Weightlessness. IEEE Trans. Hum. Mach. Syst. 51(2): 130-140 (2021) - 2020
- [j55]Carolina Rico-Olarte, Diego M. López, Linda Becker, Bjoern M. Eskofier:
Towards Classifying Cognitive Performance by Sensing Electrodermal Activity in Children With Specific Learning Disorders. IEEE Access 8: 196187-196196 (2020) - [j54]Marija D. Ivanovic, Julius Hannink, Matthias Ring, Fabio Baronio, Vladan Vukcevic, Ljupco Hadzievski, Bjoern M. Eskofier:
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design. Artif. Intell. Medicine 110: 101963 (2020) - [j53]Naira Kaieski, Cristiano André da Costa, Rodrigo da Rosa Righi, Priscila Schmidt Lora, Björn M. Eskofier:
Application of artificial intelligence methods in vital signs analysis of hospitalized patients: A systematic literature review. Appl. Soft Comput. 96: 106612 (2020) - [j52]Felix Ott, Mohamad Wehbi, Tim Hamann, Jens Barth, Björn M. Eskofier, Christopher Mutschler:
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 92:1-92:20 (2020) - [j51]Rodrigo Bazo, Eduardo Souza dos Reis, Lucas Adams Seewald, Vinicius Facco Rodrigues, Cristiano André da Costa, Luiz Gonzaga Jr., Rodolfo Stoffel Antunes, Rodrigo da Rosa Righi, Andreas Maier, Björn M. Eskofier, Rebecca Fahrig, Tim Horz:
Baptizo: A sensor fusion based model for tracking the identity of human poses. Inf. Fusion 62: 1-13 (2020) - [j50]Robert Richer, Nan Zhao, Bjoern M. Eskofier, Joseph A. Paradiso:
Exploring Smart Agents for the Interaction with Multimodal Mediated Environments. Multimodal Technol. Interact. 4(2): 27 (2020) - [j49]Jesus D. Ceron, Christine F. Martindale, Diego M. López, Felix Kluge, Björn M. Eskofier:
Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System. Sensors 20(3): 651 (2020) - [j48]Jesus D. Ceron, Felix Kluge, Arne Küderle, Björn M. Eskofier, Diego M. López:
Simultaneous Indoor Pedestrian Localization and House Mapping Based on Inertial Measurement Unit and Bluetooth Low-Energy Beacon Data. Sensors 20(17): 4742 (2020) - [j47]Markus Zrenner, Arne Küderle, Nils Roth, Ulf Jensen, Burkhard Dümler, Björn M. Eskofier:
Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running? Sensors 20(19): 5705 (2020) - [j46]Christine F. Martindale, Nils Roth, Heiko Gaßner, Julia List, Martin Regensburger, Björn M. Eskofier, Zacharias Kohl:
Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients. IEEE J. Biomed. Health Informatics 24(5): 1490-1499 (2020) - [j45]Martin Ullrich, Arne Küderle, Julius Hannink, Silvia Del Din, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies. IEEE J. Biomed. Health Informatics 24(7): 1869-1878 (2020) - 2019
- [j44]Lucas Adams Seewald, Vinicius Facco Rodrigues, Malte Ollenschläger, Rodolfo Stoffel Antunes, Cristiano André da Costa, Rodrigo da Rosa Righi, Luiz Gonzaga da Silveira Jr., Andreas Maier, Björn M. Eskofier, Rebecca Fahrig:
Toward analyzing mutual interference on infrared-enabled depth cameras. Comput. Vis. Image Underst. 178: 1-15 (2019) - [j43]Christine F. Martindale, Sebastijan Sprager, Björn M. Eskofier:
Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables. Sensors 19(8): 1820 (2019) - [j42]Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Cristiano André da Costa, Björn M. Eskofier, Andreas K. Maier:
On Providing Multi-Level Quality of Service for Operating Rooms of the Future. Sensors 19(10): 2303 (2019) - [j41]Nooshin Haji Ghassemi, Julius Hannink, Nils Roth, Heiko Gassner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier:
Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson's Disease. Sensors 19(14): 3103 (2019) - [j40]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Jochen Klucken, Elmar Nöth:
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach. IEEE J. Biomed. Health Informatics 23(4): 1618-1630 (2019) - [j39]Tobias Feigl, Daniel Roth, Stefan Gradl, Markus Wirth, Marc Erich Latoschik, Björn M. Eskofier, Michael Philippsen, Christopher Mutschler:
Sick Moves! Motion Parameters as Indicators of Simulator Sickness. IEEE Trans. Vis. Comput. Graph. 25(11): 3146-3157 (2019) - 2018
- [j38]Cristiano André da Costa, Cristian F. Pasluosta, Björn M. Eskofier, Denise Bandeira da Silva, Rodrigo da Rosa Righi:
Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards. Artif. Intell. Medicine 89: 61-69 (2018) - [j37]Rodolfo Stoffel Antunes, Lucas Adams Seewald, Vinicius Facco Rodrigues, Cristiano André da Costa, Luiz Gonzaga Jr., Rodrigo da Rosa Righi, Andreas K. Maier, Björn M. Eskofier, Malte Ollenschläger, Farzad Naderi, Rebecca Fahrig, Sebastian Bauer, Sigrun Klein, Gelson Campanatti:
A Survey of Sensors in Healthcare Workflow Monitoring. ACM Comput. Surv. 51(2): 42:1-42:37 (2018) - [j36]Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gassner, Meinard Müller, Jochen Klucken, Björn M. Eskofier:
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease. Sensors 18(1): 145 (2018) - [j35]Markus Zrenner, Stefan Gradl, Ulf Jensen, Martin Ullrich, Björn M. Eskofier:
Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units. Sensors 18(12): 4194 (2018) - [j34]Andreas Tobola, Heike Leutheuser, Markus Pollak, Peter Spies, Christian Hofmann, Christian Weigand, Björn M. Eskofier, Georg Fischer:
Self-Powered Multiparameter Health Sensor. IEEE J. Biomed. Health Informatics 22(1): 15-22 (2018) - [j33]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier:
Mobile Stride Length Estimation With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 22(2): 354-362 (2018) - 2017
- [j32]Stefan Meinzer, Ulf Jensen, Alexander Thamm, Joachim Hornegger, Björn M. Eskofier:
Can machine learning techniques predict customer dissatisfaction? A feasibility study for the automotive industry. Artif. Intell. Res. 6(1): 80-90 (2017) - [j31]Thomas Kautz, Benjamin H. Groh, Julius Hannink, Ulf Jensen, Holger Strubberg, Björn M. Eskofier:
Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. Data Min. Knowl. Discov. 31(6): 1678-1705 (2017) - [j30]Benjamin H. Groh, Frank Warschun, Martin Deininger, Thomas Kautz, Christine Martindale, Björn M. Eskofier:
Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 53:1-53:17 (2017) - [j29]Jennifer Maier, Marianne S. Black, Serena Bonaretti, Bastian Bier, Bjoern M. Eskofier, Jang Hwan Choi, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier:
Comparison of Different Approaches for Measuring Tibial Cartilage Thickness. J. Integr. Bioinform. 14(2) (2017) - [j28]Benjamin H. Groh, Martin Fleckenstein, Thomas Kautz, Björn M. Eskofier:
Classification and visualization of skateboard tricks using wearable sensors. Pervasive Mob. Comput. 40: 42-55 (2017) - [j27]Thomas Kautz, Björn M. Eskofier, Cristian F. Pasluosta:
Generic performance measure for multiclass-classifiers. Pattern Recognit. 68: 111-125 (2017) - [j26]Felix Kluge, Heiko Gassner, Julius Hannink, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier:
Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. Sensors 17(7): 1522 (2017) - [j25]Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken, Björn M. Eskofier:
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. Sensors 17(9): 1940 (2017) - [j24]Christine F. Martindale, Florian Hoenig, Christina Strohrmann, Björn M. Eskofier:
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models. Sensors 17(10): 2328 (2017) - [j23]Heike Leutheuser, Christian Heyde, Kai Roecker, Albert Gollhofer, Björn M. Eskofier:
Reference-Free Adjustment of Respiratory Inductance Plethysmography for Measurements during Physical Exercise. IEEE Trans. Biomed. Eng. 64(12): 2836-2846 (2017) - [j22]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier:
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 21(1): 85-93 (2017) - [j21]Matthias Ring, Clemens Lohmueller, Manfred Rauh, Joachim Mester, Björn M. Eskofier:
Salivary Markers for Quantitative Dehydration Estimation During Physical Exercise. IEEE J. Biomed. Health Informatics 21(5): 1306-1314 (2017) - 2016
- [j20]Benjamin H. Groh, Jasmin Flaschka, Markus Wirth, Thomas Kautz, Martin Fleckenstein, Björn M. Eskofier:
Wearable Real-Time Skateboard Trick Visualization and Its Community Perception. IEEE Computer Graphics and Applications 36(5): 12-18 (2016) - [j19]Ulf Jensen, Patrick Kugler, Matthias Ring, Björn M. Eskofier:
Approaching the accuracy-cost conflict in embedded classification system design. Pattern Anal. Appl. 19(3): 839-855 (2016) - [j18]Matthias Ring, Björn M. Eskofier:
An approximation of the Gaussian RBF kernel for efficient classification with SVMs. Pattern Recognit. Lett. 84: 107-113 (2016) - [j17]Verena Huppert, Jan Paulus, Ute Paulsen, Martin Burkart, Bernd Wullich, Björn M. Eskofier:
Quantification of Nighttime Micturition With an Ambulatory Sensor-Based System. IEEE J. Biomed. Health Informatics 20(3): 865-872 (2016) - [j16]Matthias Ring, Clemens Lohmueller, Manfred Rauh, Joachim Mester, Björn M. Eskofier:
A Temperature-Based Bioimpedance Correction for Water Loss Estimation During Sports. IEEE J. Biomed. Health Informatics 20(6): 1477-1484 (2016) - 2015
- [j15]Matthias Ring, Björn M. Eskofier:
Optimal feature selection for nonlinear data using branch-and-bound in kernel space. Pattern Recognit. Lett. 68: 56-62 (2015) - [j14]Thomas Kautz, Björn M. Eskofier:
A Robust Kalman Framework with Resampling and Optimal Smoothing. Sensors 15(3): 4975-4995 (2015) - [j13]Jens Barth, Cäcilia Oberndorfer, Cristian F. Pasluosta, Samuel Schülein, Heiko Gassner, Samuel J. Reinfelder, Patrick Kugler, Dominik Schuldhaus, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. Sensors 15(3): 6419-6440 (2015) - [j12]Mohamed Elgendi, Bjoern M. Eskofier, Derek Abbott:
Fast T Wave Detection Calibrated by Clinical Knowledge with Annotation of P and T Waves. Sensors 15(7): 17693-17714 (2015) - [j11]Alexander Rampp, Jens Barth, Samuel Schülein, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier:
Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients. IEEE Trans. Biomed. Eng. 62(4): 1089-1097 (2015) - [j10]Jochen Klucken, Karl E. Friedl, Björn M. Eskofier, Jeffrey M. Hausdorf:
Guest Editorial: Enabling Technologies for Parkinson's Disease Management. IEEE J. Biomed. Health Informatics 19(6): 1775-1776 (2015) - [j9]Cristian F. Pasluosta, Heiko Gassner, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things. IEEE J. Biomed. Health Informatics 19(6): 1873-1881 (2015) - 2013
- [j8]Heike Leutheuser, Bjoern M. Eskofier:
Heart Rate Variability During Physical Exercise. Int. J. Comput. Sci. Sport 12(1) (2013) - 2011
- [j7]Rainer Grimmer, Björn M. Eskofier, Heiko Schlarb, Joachim Hornegger:
Comparison and classification of 3D objects surface point clouds on the example of feet. Mach. Vis. Appl. 22(2): 235-243 (2011) - 2010
- [j6]Björn M. Eskofier, Martin Wagner, Ian Munson, Mark Oleson:
Embedded Classification of Speed and Inclination during Running. Int. J. Comput. Sci. Sport 9(1) (2010) - 2009
- [j5]Björn M. Eskofier, Daniel Melzer:
Gervit - A Tool For Sports Data Visualization Employing Google Earth. Int. J. Comput. Sci. Sport 8(2) (2009) - [j4]Marcus Barkowsky, Jens Bialkowski, Björn M. Eskofier, Roland Bitto, André Kaup:
Temporal Trajectory Aware Video Quality Measure. IEEE J. Sel. Top. Signal Process. 3(2): 266-279 (2009) - [j3]Bjoern M. Eskofier, Mark Oleson, Christian DiBenedetto, Joachim Hornegger:
Embedded surface classification in digital sports. Pattern Recognit. Lett. 30(16): 1448-1456 (2009) - 2008
- [j2]Björn M. Eskofier, Elmar Hartmann, Pascal Kühner, Janet Griffin, Heiko Schlarb, Manfred Schmitt, Joachim Hornegger:
Real Time Surveying and Monitoring of Athletes Using Mobile Phones and GPS. Int. J. Comput. Sci. Sport 7(1) (2008) - [j1]Bjoern M. Eskofier:
Run Surface Classification: a Digital Sports Embedded Application. Künstliche Intell. 22(4): 45-48 (2008)
Conference and Workshop Papers
- 2025
- [c158]Jonas Leo Mueller, Alexander Weiss, Bjoern M. Eskofier:
Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching. AIiH (1) 2025: 227-241 - [c157]Tatiana Merzhevich, Alexandros Tanzanakis, Emmanuelle Salin, Claudia Quiering, Christoph F. Kurz, Benjamin Gmeiner, Bjoern M. Eskofier:
Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer. AIME (2) 2025: 267-271 - [c156]Thomas Altstidl, Michael Altstidl, Stephan Achenbach, Bjoern M. Eskofier:
A Cross-Platform Smartphone Auscultation SDK and Optimized Filters for Severe Aortic Stenosis Detection. HICSS 2025: 1-10 - 2024
- [c155]Jonas Mueller, Lukas Engel, Daniel Krauss, Ingrid Ullmann, Martin Vossiek, Bjoern M. Eskofier, Eva Dorschky:
End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data. IEEECONF 2024: 1495-1499 - [c154]Johannes Roider, Dario Zanca, Bjoern M. Eskofier:
Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. BPM 2024: 238-255 - [c153]Bernhard Schrupp, Kai Klede, René Raab, Björn M. Eskofier:
Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data. ICCS (4) 2024: 239-246 - [c152]Johannes Roider, Weixin Wang, Dario Zanca, Martin Matzner, Bjoern M. Eskofier:
Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values. ICPM Workshops 2024: 227-239 - [c151]Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. IJCNN 2024: 1-8 - [c150]Hamid Moradi, Madeleine Flaucher, Tabea Ott, Veronika Ringgold, Björn M. Eskofier, Heike Leutheuser:
Can HCI Lead the Way? Workshop on Exploring Conscious AI. MuC (Workshopband) 2024 - [c149]Anastasiya Zakreuskaya, Daniel Buschek, Wendy E. Mackay, Ignacio Avellino, Graham Dove, Bjoern M. Eskofier:
From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care. MuC 2024: 99-110 - [c148]Daniel Zieger, Florian Güthlein, Jann-Ole Henningson, Verena Jakob, Heiko Gaßner, Julian Shanbhag, Sophie Fleischmann, Jörg Miehling, Sandro Wartzack, Björn M. Eskofier, Jürgen Winkler, Bernhard Egger, Marc Stamminger:
3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars. ShapeMI@MICCAI 2024: 70-83 - [c147]Thomas Altstidl, David Dobre, Arthur Kosmala, Bjoern M. Eskofier, Gauthier Gidel, Leo Schwinn:
On the Scalability of Certified Adversarial Robustness with Generated Data. NeurIPS 2024 - [c146]Madeleine Flaucher, Florian Pruemer, Katharina Maria Jaeger, Jana Rolny, Patricia Trissler, Sebastian Eckl, Bjoern M. Eskofier, Heike Leutheuser:
Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management. NordiCHI (Adjunct) 2024: 31:1-31:5 - 2023
- [c145]Kai Klede, Leo Schwinn, Dario Zanca, Björn M. Eskofier:
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. AAAI 2023: 8317-8324 - [c144]Johanna Bräunig, Desar Mejdani, Daniel Krauss, Stefan Grießhammer, Robert Richer, Christian Schuessler, Julia Beatriz Yip, Tobias Steigleder, Christoph Ostgathe, Bjoern M. Eskofier, Martin Vossiek:
Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning. BHI 2023: 1-4 - [c143]Marie Oesten, Robert Richer, Luca Abel, Nicolas Rohleder, Bjoern M. Eskofier:
VoStress - Voice-based Detection of Acute Psychosocial Stress. BHI 2023: 1-4 - [c142]Misha Sadeghi, Bernhard Egger, Reza Agahi, Robert Richer, Klara Capito, Lydia Helene Rupp, Lena Schindler-Gmelch, Matthias Berking, Bjoern M. Eskofier:
Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data. BHI 2023: 1-5 - [c141]Linda Vorberg, Siri Pflueger, Robert Richer, Katharina M. Jäger, Arne Küderle, Nicolas Rohleder, Bjoern M. Eskofier:
Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning. BHI 2023: 1-4 - [c140]Andrea Zugarini, Thomas Rothenbacher, Kai Klede, Marco Ernandes, Bjoern M. Eskofier, Dario Zanca:
Die Rätselrevolution: Automated German Crossword Solving. CLiC-it 2023 - [c139]Elisabeth Gabler, Michael Nissen, Thomas R. Altstidl, Adriana Titzmann, Kai Packhäuser, Andreas K. Maier, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. EMBC 2023: 1-4 - [c138]Hamid Moradi, Julius Hannink, Sabine Stallforth, Till Gladow, Stefan Ringbauer, Martin Mayr, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier:
Monitoring medication optimization in patients with Parkinson's disease. EMBC 2023: 1-4 - [c137]Michael Nissen, Madeleine Flaucher, Katharina M. Jaeger, Hanna Huebner, Nina Danzberger, Adriana Titzmann, Constanza A. Pontones, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography. EMBC 2023: 1-4 - [c136]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN 2023: 1-8 - [c135]Maximilian Stahlke, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, Christopher Mutschler:
Uncertainty-based Fingerprinting Model Selection for Radio Localization. IPIN 2023: 1-6 - [c134]Madeleine Flaucher, Anastasiya Zakreuskaya, Katharina M. Jäger, Robert Richer, Jan David Smeddinck, Devender Kumar, Sophie Grimme, Julia Klein, Robert Hrynyschyn, Bjoern M. Eskofier, Heike Leutheuser:
Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data. MuC (Workshopband) 2023 - [c133]Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern M. Eskofier:
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. NeurIPS 2023 - 2022
- [c132]Liv Herzer, Annika Muecke, Robert Richer, Nils C. Albrecht, Markus Heyder, Katharina M. Jäger, Veronika Koenig, Alexander Koelpin, Nicolas Rohleder, Bjoern M. Eskofier:
Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring. BHI 2022: 1-4 - [c131]Katharina M. Jäger, Michael Nissen, Robert Richer, Simone Rahm, Adriana Titzmann, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG. BHI 2022: 1-4 - [c130]Hamid Moradi, Nils Roth, Ann-Kristin Seifer, Bjoern M. Eskofier:
Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy. BHI 2022: 1-4 - [c129]Victoria Müller, Robert Richer, Lea Henrich, Leonie Berger, Antonia Gelardi, Katharina M. Jäger, Bjoern M. Eskofier, Nicolas Rohleder:
The Stroop Competition: A Social-Evaluative Stroop Test for Acute Stress Induction. BHI 2022: 1-4 - [c128]Hui Lu, Julia Beatriz Yip, Tobias Steigleder, Stefan Grießhammer, Maria Heckel, Naga Venkata Sai Jitin Jami, Bjoern M. Eskofier, Christoph Ostgathe, Alexander Koelpin:
A Lightweight Robust Approach for Automatic Heart Murmurs and Clinical Outcomes Classification from Phonocardiogram Recordings. CinC 2022: 1-4 - [c127]Jutta Juliane Meier, Kai Hermsen, Jochen Bauer, Björn M. Eskofier:
Digital Responsibility Goals - A Framework for a Human-Centered Sustainable Digital Economy with a Focus on Trusted Digital Solutions. dHealth 2022: 250-259 - [c126]Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier:
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. EMBC 2022: 945-949 - [c125]Andre L. Cakici, Marius Osswald, Daniela Souza De Oliveira, Dominik I. Braun, Raul C. Sîmpetru, Thomas Kinfe, Bjoern M. Eskofier, Alessandro Del Vecchio:
A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements. EMBC 2022: 4115-4118 - [c124]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. ICML 2022: 19434-19449 - [c123]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. ITSC 2022: 1342-1349 - [c122]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. ITSC 2022: 1913-1920 - 2021
- [c121]Robert Richer, Arne Küderle, Jana Dörr, Nicolas Rohleder, Bjoern M. Eskofier:
Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement. BHI 2021: 1-4 - [c120]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas Maier:
Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. Bildverarbeitung für die Medizin 2021: 336 - [c119]Philipp Dumbach, Ruining Liu, Max Jalowski, Bjoern M. Eskofier:
The Adoption Of Artificial Intelligence In SMEs - A Cross-National Comparison In German And Chinese Healthcare. BIR Workshops 2021: 84-98 - [c118]Nils Roth, Georg P. Wieland, Arne Küderle, Martin Ullrich, Till Gladow, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments. EMBC 2021: 1932-1935 - [c117]Wolfgang A. Mehringer, Markus Wirth, Franka Risch, Daniel Roth, Georg Michelson, Björn M. Eskofier:
Hess Screen Revised: How Eye Tracking and Virtual Reality change Strabismus Assessment. EMBC 2021: 2058-2062 - [c116]Martin Ullrich, Arne Küderle, Luca Reggi, Andrea Cereatti, Bjoern M. Eskofier, Felix Kluge:
Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data. EMBC 2021: 5958-5961 - [c115]Johanna Happold, Robert Richer, Arne Küderle, Heiko Gaßner, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors. EMBC 2021: 6987-6990 - [c114]Robert Schleicher, Marlies Nitschke, Jana Martschinke, Marc Stamminger, Björn M. Eskofier, Jochen Klucken, Anne D. Koelewijn:
BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity. VISIGRAPP (1: GRAPP) 2021: 25-36 - [c113]Imrana Abdullahi, Tobias Dehling, Felix Kluge, Bjoern M. Eskofier, Ali Sunyaev:
Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems. HICSS 2021: 1-10 - [c112]Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kämpf, Dario Zanca, Björn M. Eskofier:
Towards an IMU-based Pen Online Handwriting Recognizer. ICDAR (3) 2021: 289-303 - [c111]Philipp Laut, Philipp Dumbach, Bjoern M. Eskofier:
Integration of Artificial Intelligence in the Organizational Adoption - A Configurational Perspective. ICIS 2021 - [c110]Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger:
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN 2021: 1-8 - [c109]Luisa Dörflinger, Michael Nissen, Katharina M. Jäger, Markus Wirth, Adriana Titzmann, Constanza Pontones, Peter A. Fasching, Matthias W. Beckmann, Stefan Gradl, Björn M. Eskofier:
Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives. MuC 2021: 204-209 - [c108]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier:
Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI 2021: 854-864 - [c107]Markus Wirth, Stefan Gradl, Georg Prosinger, Felix Kluge, Daniel Roth, Björn M. Eskofier:
The Impact of Avatar Appearance, Perspective and Context on Gait Variability and User Experience in Virtual Reality. VR 2021: 326-335 - 2020
- [c106]Philipp Dumbach, Alexander Aly, Markus Zrenner, Björn M. Eskofier:
Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser. EDM 2020 - [c105]Stefan Fischer, Martin Ullrich, Arne Küderle, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Automatic clinical gait test detection from inertial sensor data. EMBC 2020: 789-792 - [c104]Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. ICFHR 2020: 295-300 - [c103]An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier:
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. ICPM Workshops 2020: 112-123 - [c102]Wolfgang A. Mehringer, Markus Wirth, Stefan Gradl, Luis S. Durner, Matthias Ring, Annemarie F. Laudanski, Bjoern M. Eskofier, Georg Michelson:
An Image-Based Method for Measuring Strabismus in Virtual Reality. ISMAR Adjunct 2020: 5-12 - [c101]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier:
Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee. MICCAI (3) 2020: 14-23 - [c100]Markus Wirth, Stefan Gradl, Wolfgang A. Mehringer, Richard Kulpa, Hannes Rupprecht, Dino Poimann, Annemarie F. Laudanski, Björn M. Eskofier:
Assessing Personality Traits of Team Athletes in Virtual Reality. VR Workshops 2020: 101-108 - 2019
- [c99]Martin Ullrich, Julius Hannink, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease. BHI 2019: 1-4 - [c98]Jennifer Maier, Marianne S. Black, Mary Elizabeth Hall, Jang-Hwan Choi, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas K. Maier:
Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus. Bildverarbeitung für die Medizin 2019: 86-91 - [c97]Marco Antônio Schwertner, Sandro José Rigo, Denis A. de Araujo, Alan Barcelos Silva, Bjoern M. Eskofier:
Fostering Natural Language Question Answering Over Knowledge Bases in Oncology EHR. CBMS 2019: 501-506 - [c96]Katharina Aholt, Christine F. Martindale, Arne Küderle, Heiko Gaßner, Till Gladow, Javier Rojo, Samanta Villanueva Mascato, Jochen Klucken, María Teresa Arredondo Waldmeyer, Björn M. Eskofier:
A Mobile Solution for Rhythmic Auditory Stimulation Gait Training. EMBC 2019: 309-312 - [c95]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, M. Strauss, Arne Küderle, Nils Roth, Sebastian P. Bayerl, Nicanor García-Ospina, Paula Andrea Pérez-Toro, L. Felipe Parra-Gallego, Cristian David Ríos-Urrego, Daniel Escobar-Grisales, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Elmar Nöth:
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. INTERSPEECH 2019: 964-965 - [c94]Stefan Gradl, Markus Wirth, Robert Richer, Nicolas Rohleder, Björn M. Eskofier:
An Overview of the Feasibility of Permanent, Real-Time, Unobtrusive Stress Measurement with Current Wearables. PervasiveHealth 2019: 360-365 - [c93]Luca Abel, Robert Richer, Arne Küderle, Stefan Gradl, Björn M. Eskofier, Nicolas Rohleder:
Classification of Acute Stress-Induced Response Patterns. PervasiveHealth 2019: 366-370 - [c92]Stefan Gradl, Markus Wirth, Nico Mächtlinger, Romina Poguntke, Andrea Wonner, Nicolas Rohleder, Björn M. Eskofier:
The Stroop Room: A Virtual Reality-Enhanced Stroop Test. VRST 2019: 28:1-28:12 - 2018
- [c91]Markus Wirth, Stefan Gradl, Dino Poimann, Hannes Schaefke, Julia Matlok, Harald Koerger, Björn M. Eskofier:
Assessment of Perceptual-Cognitive Abilities among Athletes in Virtual Environments: Exploring Interaction Concepts for Soccer Players. Conference on Designing Interactive Systems 2018: 1013-1023 - [c90]Mathias W. Maurer, Markus Zrenner, David Reynolds, Burkhard Dümler, Björn M. Eskofier:
Sleeve based knee angle calculation for rehabilitation. BSN 2018: 1-4 - [c89]Judith Amores, Robert Richer, Nan Zhao, Pattie Maes, Björn M. Eskofier:
Promoting relaxation using virtual reality, olfactory interfaces and wearable EEG. BSN 2018: 98-101 - [c88]Benjamin H. Groh, Julian Fritz, Martin Deininger, Hermann Schwameder, Björn M. Eskofier:
Unobtrusive and wearable landing momentum estimation in Ski jumping with inertial-magnetic sensors. BSN 2018: 102-105 - [c87]Markus Zrenner, Martin Ullrich, Pascal Zobel, Ulf Jensen, Felix Laser, Benjamin H. Groh, Burkhard Dümler, Björn M. Eskofier:
Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation. BSN 2018: 106-109 - [c86]Stefan Gradl, Markus Wirth, Tobias Zillig, Björn M. Eskofier:
Visualization of heart activity in virtual reality: A biofeedback application using wearable sensors. BSN 2018: 152-155 - [c85]Sven Schellenberger, Kilin Shi, Melanie Mai, Jan Philipp Wiedemann, Tobias Steigleder, Björn M. Eskofier, Robert Weigel, Alexander Koelpin:
Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks. CinC 2018: 1-4 - [c84]Stefan Gradl, Markus Zrenner, Dominik Schuldhaus, Markus Wirth, Tomek Cegielny, Constantin Zwick, Björn M. Eskofier:
Movement Speed Estimation Based on Foot Acceleration Patterns. EMBC 2018: 3505-3508 - [c83]Markus Wirth, Stefan Gradl, Dino Poimann, Robert Richer, Jenny Ottmann, Björn M. Eskofier:
Exploring the Feasibility of EMG Based Interaction for Assessing Cognitive Capacity in Virtual Reality. EMBC 2018: 4953-4956 - [c82]Christine F. Martindale, Nils Roth, Heiko Gassner, Dennis Jensen, Zacharias Kohl, Björn M. Eskofier:
Mobile Gait Analysis using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients. EMBC 2018: 5430-5433 - [c81]Robert Richer, Nan Zhao, Judith Amores, Björn M. Eskofier, Joseph A. Paradiso:
Real-time Mental State Recognition using a Wearable EEG. EMBC 2018: 5495-5498 - [c80]Christine F. Martindale, Nils Roth, Julius Hannink, Sebastijan Sprager, Björn M. Eskofier:
Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data. PerCom Workshops 2018: 549-554 - [c79]Jesús D. Cerón, Diego M. López, Björn M. Eskofier:
Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach. UCAmI 2018: 1265 - [c78]Markus Wirth, Stefan Gradl, Jan Sembdner, Soeren Kuhrt, Björn M. Eskofier:
Evaluation of Interaction Techniques for a Virtual Reality Reading Room in Diagnostic Radiology. UIST 2018: 867-876 - 2017
- [c77]Julius Hannink, Felix Kluge, Heiko Gassner, Jochen Klucken, Björn M. Eskofier:
Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. BSN 2017: 129-132 - [c76]Harry J. Witchel, Robert Needham, Aoife Healy, Joseph H. Guppy, Jake Bush, Cäcilia Oberndorfer, Chantal Herberz, Carina E. I. Westling, Dawit Kim, Daniel Roggen, Jens Barth, Björn M. Eskofier, Waqar Rashid, Nachiappan Chockalingam, Jochen Klucken:
Using Wearable Inertial Sensors to Compare Different Versions of the Dual Task Paradigm during Walking. ECCE 2017: 150-157 - [c75]Christine F. Martindale, Martin Strauss, Heiko Gassner, Julia List, Meinard Müller, Jochen Klucken, Zacharias Kohl, Björn M. Eskofier:
Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. EMBC 2017: 1266-1269 - [c74]Philipp Morgner, Christian Müller, Matthias Ring, Björn M. Eskofier, Christian Riess, Frederik Armknecht, Zinaida Benenson:
Privacy Implications of Room Climate Data. ESORICS (2) 2017: 324-343 - [c73]Peter Blank, Benjamin H. Groh, Björn M. Eskofier:
Ball speed and spin estimation in table tennis using a racket-mounted inertial sensor. ISWC 2017: 2-9 - 2016
- [c72]Benjamin H. Groh, Martin Fleckenstein, Björn M. Eskofier:
Wearable trick classification in freestyle snowboarding. BSN 2016: 89-93 - [c71]Robert Richer, Benjamin H. Groh, Peter Blank, Eva Dorschky, Christine Martindale, Jochen Klucken, Björn M. Eskofier:
Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation. BSN 2016: 189-193 - [c70]Andreas Tobola, Heike Leutheuser, Björn Schmitz, Christian Hofmann, Matthias Struck, Christian Weigand, Björn M. Eskofier, Georg Fischer:
Battery runtime optimization toolbox for wearable biomedical sensors. BSN 2016: 199-204 - [c69]Heike Leutheuser, Stefan Gradl, Lars Anneken, Martin Arnold, Nadine Lang, Stephan Achenbach, Björn M. Eskofier:
Instantaneous P- and T-wave detection: Assessment of three ECG fiducial points detection algorithms. BSN 2016: 329-334 - [c68]Björn M. Eskofier, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh Noushin Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato:
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. EMBC 2016: 655-658 - [c67]Nooshin Haji Ghassemi, Franz Marxreiter, Cristian F. Pasluosta, Patrick Kugler, Johannes Schlachetzki, Axel Schramm, Björn M. Eskofier, Jochen Klucken:
Combined accelerometer and EMG analysis to differentiate essential tremor from Parkinson's disease. EMBC 2016: 672-675 - [c66]Maximilian P. Reymann, Eva Dorschky, Benjamin H. Groh, Christine Martindale, Peter Blank, Björn M. Eskofier:
Blood glucose level prediction based on support vector regression using mobile platforms. EMBC 2016: 2990-2993 - [c65]Christoph M. Kanzler, Jens Barth, Jochen Klucken, Björn M. Eskofier:
Inertial sensor based gait analysis discriminates subjects with and without visual impairment caused by simulated macular degeneration. EMBC 2016: 4979-4982 - [c64]Marco Altini, Patrick Mullan, Michiel Rooijakkers, Stefan Gradl, Julien Penders, Nele Geusens, Lars Grieten, Bjoern M. Eskofier:
Detection of fetal kicks using body-worn accelerometers during pregnancy: Trade-offs between sensors number and positioning. EMBC 2016: 5319-5322 - [c63]Thomas Kautz, Benjamin H. Groh, Björn M. Eskofier:
Augmented motion models for constrained position tracking with Kalman filters. FUSION 2016: 849-854 - [c62]Christine F. Martindale, Markus Wirth, Stefan Schneegass, Markus Zrenner, Benjamin H. Groh, Peter Blank, Dominik Schuldhaus, Thomas Kautz, Björn M. Eskofier:
Workshop on wearables for sports. UbiComp Adjunct 2016: 877-880 - [c61]Peter Blank, Steffen Hofmann, Martin Kulessa, Björn M. Eskofier:
miPod 2: a new hardware platform for embedded real-time processing in sports and fitness applications. UbiComp Adjunct 2016: 881-884 - [c60]Stefan Gradl, Björn M. Eskofier, Dominic Eskofier, Christopher Mutschler, Stephan Otto:
Virtual and augmented reality in sports: an overview and acceptance study. UbiComp Adjunct 2016: 885-888 - [c59]Bo Zhou, Harald Koerger, Markus Wirth, Constantin Zwick, Christine Martindale, Heber Cruz, Björn M. Eskofier, Paul Lukowicz:
Smart soccer shoe: monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix. ISWC 2016: 64-71 - [c58]Peter Blank, Thomas Kautz, Björn M. Eskofier:
Ball impact localization on table tennis rackets using piezo-electric sensors. ISWC 2016: 72-79 - [c57]Dominik Schuldhaus, Carolin Jakob, Constantin Zwick, Harald Koerger, Björn M. Eskofier:
Your personal movie producer: generating highlight videos in soccer using wearables. ISWC 2016: 80-83 - [c56]Christian Zagel, Stefan Herpich, Björn M. Eskofier, Freimut Bodendorf:
Improving UX and Productivity through TUIs in Work Environments. MuC 2016 - [c55]Patrick Kreutzer, Georg Dotzler, Matthias Ring, Björn M. Eskofier, Michael Philippsen:
Automatic clustering of code changes. MSR 2016: 61-72 - [c54]Rimon Saffoury, Peter Blank, Julian Sessner, Benjamin H. Groh, Christine F. Martindale, Eva Dorschky, Jörg Franke, Björn M. Eskofier:
Blind path obstacle detector using smartphone camera and line laser emitter. TISHW 2016: 1:1-1:7 - 2015
- [c53]Katharina Full, Heike Leutheuser, Jason Schlessman, Roger Armitage, Björn M. Eskofier:
Comparative study on classifying gait with a single trunk-mounted inertial-magnetic measurement unit. BSN 2015: 1-6 - [c52]Benjamin H. Groh, Tobias Cibis, Ralph O. Schill, Björn M. Eskofier:
IMU-based pose determination of scuba divers' bodies and shanks. BSN 2015: 1-6 - [c51]Heike Leutheuser, Stefan Gradl, Björn M. Eskofier, Andreas Tobola, Nadine Lang, Lars Anneken, Martin Arnold, Stephan Achenbach:
Arrhythmia classification using RR intervals: Improvement with sinusoidal regression feature. BSN 2015: 1-5 - [c50]Robert Richer, Tim Maiwald, Cristian F. Pasluosta, Bernhard Hensel, Björn M. Eskofier:
Novel human computer interaction principles for cardiac feedback using google glass and Android wear. BSN 2015: 1-6 - [c49]Andreas Tobola, Franz J. Streit, Chris Espig, Oliver Korpok, Christian Sauter, Nadine Lang, Björn Schmitz, Christian Hofmann, Matthias Struck, Christian Weigand, Heike Leutheuser, Björn M. Eskofier, Georg Fischer:
Sampling rate impact on energy consumption of biomedical signal processing systems. BSN 2015: 1-6 - [c48]Daniel Tantinger, Markus Zrenner, Nadine Lang, Heike Leutheuser, Bjoern M. Eskofier, Christian Weigand, Matthias Struck:
Human Authentication Implemented for Mobile Applications Based on ECG-Data Acquired from Sensorized Garments. CinC 2015: 417-420 - [c47]Nadine Lang, Matthias Brischwein, Erik Haßlmeyer, Daniel Tantinger, Sven Feilner, Axel Heinrich, Heike Leutheuser, Stefan Gradl, Christian Weigand, Bjoern M. Eskofier, Matthias Struck:
Filter and Processing Method to Improve R-Peak Detection for ECG Data with Motion Artefacts from Wearable Systems. CinC 2015: 917-920 - [c46]Stefan Gradl, Heike Leutheuser, Mohamed Elgendi, Nadine Lang, Björn M. Eskofier:
Temporal correction of detected R-peaks in ECG signals: A crucial step to improve QRS detection algorithms. EMBC 2015: 522-525 - [c45]Cristian F. Pasluosta, Jens Barth, Heiko Gassner, Jochen Klucken, Björn M. Eskofier:
Pull test estimation in Parkinson's disease patients using wearable sensor technology. EMBC 2015: 3109-3112 - [c44]Samuel J. Reinfelder, Roland Hauer, Jens Barth, Jochen Klucken, Björn M. Eskofier:
Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors. EMBC 2015: 5171-5174 - [c43]Christoph M. Kanzler, Jens Barth, Alexander Rampp, Heiko Schlarb, Franz Rott, Jochen Klucken, Björn M. Eskofier:
Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation. EMBC 2015: 5424-5427 - [c42]Beeke E. Heldberg, Thomas Kautz, Heike Leutheuser, Rudiger Hopfengartner, Burkhard S. Kasper, Björn M. Eskofier:
Using wearable sensors for semiology-independent seizure detection - towards ambulatory monitoring of epilepsy. EMBC 2015: 5593-5596 - [c41]Tobias Cibis, Benjamin H. Groh, Heike Gatermann, Heike Leutheuser, Björn M. Eskofier:
Wearable real-time ecg monitoring with emergency alert system for scuba diving. EMBC 2015: 6074-6077 - [c40]Patrick Mullan, Christoph M. Kanzler, Benedikt Lorch, Lea Schroeder, Ludwig Winkler, Larissa Laich, Frederik Riedel, Robert Richer, Christoph Luckner, Heike Leutheuser, Björn M. Eskofier, Cristian F. Pasluosta:
Unobtrusive heart rate estimation during physical exercise using photoplethysmographic and acceleration data. EMBC 2015: 6114-6117 - [c39]Matthias Ring, Clemens Lohmueller, Manfred Rauh, Björn M. Eskofier:
On sweat analysis for quantitative estimation of dehydration during physical exercise. EMBC 2015: 7011-7014 - [c38]Peter Blank, Julian Hoßbach, Dominik Schuldhaus, Bjoern M. Eskofier:
Sensor-based stroke detection and stroke type classification in table tennis. ISWC 2015: 93-100 - [c37]Eva Dorschky, Dominik Schuldhaus, Harald Koerger, Bjoern M. Eskofier:
A framework for early event detection for wearable systems. ISWC 2015: 109-112 - [c36]Andreas Tobola, Chris Espig, Franz J. Streit, Oliver Korpok, Björn Schmitz, Christian Hofmann, Matthias Struck, Christian Weigand, Heike Leutheuser, Björn M. Eskofier, Georg Fischer:
Scalable ECG hardware and algorithms for extended runtime of wearable sensors. MeMeA 2015: 255-260 - 2014
- [c35]Peter Blank, Patrick Kugler, Dominik Schuldhaus, Bjoern M. Eskofier:
A Data Collection and Communication Module for Telemedicine and mHealth Systems. BODYNETS 2014 - [c34]Dominik Schuldhaus, Heike Leutheuser, Bjoern M. Eskofier:
Towards Big Data for Activity Recognition: A Novel Database Fusion Strategy. BODYNETS 2014 - [c33]Robert Richer, Peter Blank, Dominik Schuldhaus, Bjoern M. Eskofier:
Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices. BSN 2014: 104-108 - [c32]Heike Leutheuser, Sina Doelfel, Dominik Schuldhaus, Samuel J. Reinfelder, Bjoern M. Eskofier:
Performance Comparison of Two Step Segmentation Algorithms Using Different Step Activities. BSN 2014: 143-148 - [c31]Björn M. Eskofier, Jan Paulus, Ute Paulsen, Martin Burkart, Bernd Wullich, Verena Huppert:
An ambulatory sensor-based system for quantification of nighttime micturition for accurate nocturia assessment. EMBC 2014: 566-569 - [c30]Heike Leutheuser, Stefan Gradl, Patrick Kugler, Lars Anneken, Martin Arnold, Stephan Achenbach, Björn M. Eskofier:
Comparison of real-time classification systems for arrhythmia detection on Android-based mobile devices. EMBC 2014: 2690-2693 - [c29]Samuel J. Reinfelder, Felix Durlak, Jens Barth, Jochen Klucken, Björn M. Eskofier:
Wearable static posturography solution using a novel pressure sensor sole. EMBC 2014: 2973-2976 - [c28]Florian Gabsteiger, Heike Leutheuser, Pedro Reis, Matthias Lochmann, Björn M. Eskofier:
ICA-based reduction of electromyogenic artifacts in EEG data: Comparison with and without EMG data. EMBC 2014: 3861-3864 - [c27]Heike Leutheuser, Christian Heyde, Albert Gollhofer, Björn M. Eskofier:
Comparison of a priori calibration models for respiratory inductance plethysmography during running. EMBC 2014: 6393-6396 - [c26]Matthias Ring, Clemens Lohmueller, Manfred Rauh, Björn M. Eskofier:
A Two-Stage Regression Using Bioimpedance and Temperature for Hydration Assessment During Sports. ICPR 2014: 4519-4524 - [c25]Benjamin H. Groh, Samuel J. Reinfelder, Markus N. Streicher, Adib Taraben, Bjoern M. Eskofier:
Movement prediction in rowing using a Dynamic Time Warping based stroke detection. ISSNIP 2014: 1-6 - 2013
- [c24]Jan Paulus, Georg Michelson, Marcus Barkowsky, Joachim Hornegger, Björn M. Eskofier, Michael Schmidt:
Measurement of Individual Changes in the Performance of Human Stereoscopic Vision for Disparities at the Limits of the Zone of Comfortable Viewing. 3DV 2013: 310-317 - [c23]Dominik Schuldhaus, Heike Leutheuser, Bjoern M. Eskofier:
Classification of Daily Life Activities by Decision Level Fusion of Inertial Sensor Data. BODYNETS 2013: 77-82 - [c22]Carolin Jakob, Patrick Kugler, Felix Hebenstreit, Samuel J. Reinfelder, Ulf Jensen, Dominik Schuldhaus, Matthias Lochmann, Bjoern M. Eskofier:
Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors. BODYNETS 2013: 289-295 - [c21]Bjoern M. Eskofier, Ed Musho, Heiko Schlarb:
Pattern classification of foot strike type using body worn accelerometers. BSN 2013: 1-4 - [c20]Ulf Jensen, Franziska Prade, Bjoern M. Eskofier:
Classification of kinematic swimming data with emphasis on resource consumption. BSN 2013: 1-5 - [c19]Patrick Kugler, Philipp Nordhus, Bjoern M. Eskofier:
Shimmer, Cooja and Contiki: A new toolset for the simulation of on-node signal processing algorithms. BSN 2013: 1-6 - [c18]Benjamin Pfundt, Marc Reichenbach, Björn M. Eskofier, Dietmar Fey:
Smart sensor architectures for embedded biosignal analysis. DASIP 2013: 174-181 - [c17]Stefan Gradl, Heike Leutheuser, Patrick Kugler, Teresa Biermann, Sebastian Kreil, Johannes Kornhuber, Matthias Bergner, Bjoern M. Eskofier:
Somnography using unobtrusive motion sensors and Android-based mobile phones. EMBC 2013: 1182-1185 - [c16]Patrick Kugler, Christian Jaremenko, Johannes Schlachetzki, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier:
Automatic recognition of Parkinson's disease using surface electromyography during standardized gait tests. EMBC 2013: 5781-5784 - [c15]Jens Barth, Cäcilia Oberndorfer, Patrick Kugler, Dominik Schuldhaus, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities. EMBC 2013: 6744-6747 - [c14]Heike Leutheuser, Florian Gabsteiger, Felix Hebenstreit, Pedro Reis, Matthias Lochmann, Bjoern M. Eskofier:
Comparison of the AMICA and the InfoMax algorithm for the reduction of electromyogenic artifacts in EEG data. EMBC 2013: 6804-6807 - 2012
- [c13]Bjoern M. Eskofier, Patrick Kugler, Daniel Melzer, Pascal Kuehner:
Embedded Classification of the Perceived Fatigue State of Runners: Towards a Body Sensor Network for Assessing the Fatigue State during Running. BSN 2012: 113-117 - [c12]Stefan Gradl, Patrick Kugler, Clemens Lohmueller, Bjoern M. Eskofier:
Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices. EMBC 2012: 2452-2455 - [c11]Patrick Kugler, Heiko Schlarb, Joerg Blinn, Antoni Picard, Bjoern M. Eskofier:
A wireless trigger for synchronization of wearable sensors to external systems during recording of human gait. EMBC 2012: 4537-4540 - [c10]Jens Barth, Michael Sünkel, Katharina Bergner, Gerald Schickhuber, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier:
Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease. EMBC 2012: 5122-5125 - [c9]Ulf Jensen, Bjoern M. Eskofier, Frank Dassler:
Classification of kinematic golf putt data with emphasis on feature selection. ICPR 2012: 1735-1738 - [c8]Dominik Schuldhaus, Patrick Kugler, Ulf Jensen, Bjoern M. Eskofier, Heiko Schlarb, Magnus Leible:
Classification of surfaces and inclinations during outdoor running using shoe-mounted inertial sensors. ICPR 2012: 2258-2261 - [c7]Matthias Ring, Ulf Jensen, Patrick Kugler, Bjoern M. Eskofier:
Software-based performance and complexity analysis for the design of embedded classification systems. ICPR 2012: 2266-2269 - [c6]Ulf Jensen, Fabian Weilbrenner, Franz Rott, Bjoern M. Eskofier:
Sensor-Based Mobile Functional Movement Screening. MobiHealth 2012: 215-223 - 2011
- [c5]Jens Barth, Jochen Klucken, Patrick Kugler, Thomas Kammerer, Ralph Steidl, Jürgen Winkler, Joachim Hornegger, Björn M. Eskofier:
Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease. EMBC 2011: 868-871 - 2010
- [c4]Patrick Kugler, Ulf Jensen, Björn M. Eskofier, Joachim Hornegger:
Feedback-Training mit tragbaren Sensor-Netzwerken. GI Jahrestagung (1) 2010: 3-8 - [c3]Bjoern M. Eskofier, Daniel Melzer, Patrick Kugler, Ulf Jensen:
Eingebettete Klassifikation der Ermüdung von Laufsportlern. GI Jahrestagung (1) 2010: 39-44 - 2008
- [c2]Bjoern M. Eskofier, Florian Hoenig, Pascal Kuehner:
Classification of perceived running fatigue in digital sports. ICPR 2008: 1-4 - 2006
- [c1]Marcus Barkowsky, Bjoern M. Eskofier, Jens Bialkowski, André Kaup:
Influence of the Presentation Time on Subjective Votings of Coded Still Images. ICIP 2006: 429-432
Parts in Books or Collections
- 2017
- [p1]Heike Leutheuser, Nadine R. Lang, Stefan Gradl, Matthias Struck, Andreas Tobola, Christian Hofmann, Lars Anneken, Björn M. Eskofier:
Textile Integrated Wearable Technologies for Sports and Medical Applications. Smart Textiles 2017: 359-382
Data and Artifacts
- 2024
- [d11]Eva Dorschky, Marlies Nitschke, Ann-Kristin Seifer, Antonie J. van den Bogert, Anne D. Koelewijn, Björn M. Eskofier:
Lower-body Inertial Sensor and Optical Motion Capture Recordings of Walking and Running. Zenodo, 2024
- [d10]Bernhard Schrupp, Kai Klede, René Raab, Björn M. Eskofier:
Simulated German Inpatient Claims Data. Zenodo, 2024 - 2023
- [d9]Arne Küderle, Nils Roth, Robert Richer, Bjoern M. Eskofier:
imucal - A Python library to calibrate 6 DOF IMUs. Version v2.4.0. Zenodo, 2023 [all versions] - [d8]Marlies Nitschke, Eva Dorschky, Sigrid Leyendecker, Bjoern M. Eskofier, Anne D. Koelewijn:
3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation. Zenodo, 2023 - [d7]Matthias Zuerl, Richard Dirauf, Franz Köferl, Nils Steinlein, Jonas Sueskind, Dario Zanca, Ingrid Brehm, Lorenzo von Fersen, Bjoern M. Eskofier:
PolarBearVidID: A Video-based Re-Identification Benchmark Dataset for Polar Bears. Zenodo, 2023 - 2022
- [d6]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Scaled and Translated Image Recognition (STIR). Zenodo, 2022 - [d5]Arne Küderle, Nils Roth, Robert Richer, Bjoern M. Eskofier:
imucal - A Python library to calibrate 6 DOF IMUs. Version 2.0.2. Zenodo, 2022 [all versions] - [d4]Arne Küderle, Nils Roth, Robert Richer, Bjoern M. Eskofier:
imucal - A Python library to calibrate 6 DOF IMUs. Version 2.0.2. Zenodo, 2022 [all versions] - [d3]Marlies Nitschke, Robert Marzilger, Sigrid Leyendecker, Bjoern M. Eskofier, Anne D. Koelewijn:
Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation. Zenodo, 2022 - [d2]Matthias Zuerl, Philip Stoll, Ingrid Brehm, René Raab, Dario Zanca, Johanna Happold, Samira Kabri, Heiko Nille, Katharina Prechtel, Sophie Wuensch, Marie Krause, Stefan Seegerer, Lorenzo von Fersen, Björn M. Eskofier:
Nuremberg Polar Bear Dataset. Zenodo, 2022 - [d1]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Scaled and Translated Image Recognition (STIR) Source Data. Zenodo, 2022
Informal and Other Publications
- 2025
- [i44]Jindong Li, Tim Hamann, Jens Barth, Peter Kämpf, Dario Zanca, Björn M. Eskofier:
Robust and Efficient Writer-Independent IMU-Based Handwriting Recognization. CoRR abs/2502.20954 (2025) - [i43]Lukas Boehm, Jonas Leo Mueller, Christoffer Löffler, Leo Schwinn, Björn M. Eskofier, Dario Zanca:
Understanding Cross-Model Perceptual Invariances Through Ensemble Metamers. CoRR abs/2504.01739 (2025) - [i42]Jonathan Ott, Maximilian Stahlke, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels. CoRR abs/2505.13055 (2025) - [i41]Richard Dirauf, Florian Wolz, Dario Zanca, Björn M. Eskofier:
Benchmarking Content-Based Puzzle Solvers on Corrupted Jigsaw Puzzles. CoRR abs/2507.07828 (2025) - [i40]Jonas Leo Mueller, Lukas Engel, Eva Dorschky, Daniel Krauss, Ingrid Ullmann, Martin Vossiek, Bjoern M. Eskofier:
RadProPoser: A Framework for Human Pose Estimation with Uncertainty Quantification from Raw Radar Data. CoRR abs/2508.03578 (2025) - [i39]Maximilian P. Oppelt, Tobias S. Zech, Sarah H. Lorenz, Laurenz Ottmann, Jan Steffan, Bjoern M. Eskofier, Nadine R. Lang-Richter, Norman Pfeiffer:
Comprehensive Signal Quality Evaluation of a Wearable Textile ECG Garment: A Sex-Balanced Study. CoRR abs/2508.21554 (2025) - [i38]Maximilian P. Oppelt, Andreas Foltyn, Nadine R. Lang-Richter, Bjoern M. Eskofier:
REVELIO - Universal Multimodal Task Load Estimation for Cross-Domain Generalization. CoRR abs/2509.01642 (2025) - [i37]Xiumei Li, Marc Windsheimer, Misha Sadeghi, Björn M. Eskofier, André Kaup:
Optimized Learned Image Compression for Facial Expression Recognition. CoRR abs/2509.17262 (2025) - [i36]Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller, Jindong Li, Dario Zanca, Björn M. Eskofier, Heike Leutheuser:
Stratify or Die: Rethinking Data Splits in Image Segmentation. CoRR abs/2509.21056 (2025) - 2024
- [i35]Björn Nieth, Thomas Altstidl, Leo Schwinn, Björn M. Eskofier:
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation. CoRR abs/2406.13283 (2024) - [i34]Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. CoRR abs/2406.15098 (2024) - [i33]Aditya Parikh, Misha Sadeghi, Bjoern M. Eskofier:
Exploring Facial Biomarkers for Depression through Temporal Analysis of Action Units. CoRR abs/2407.13753 (2024) - [i32]Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca:
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. CoRR abs/2408.02123 (2024) - [i31]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Björn M. Eskofier:
Caption-Driven Explorations: Aligning Image and Text Embeddings through Human-Inspired Foveated Vision. CoRR abs/2408.09948 (2024) - [i30]Farnaz Rahimi, Mohammad Ali Badamchizadeh, Raul C. Sîmpetru, Sehraneh Ghaemi, Bjoern M. Eskofier, Alessandro Del Vecchio:
Simultaneous Control of Human Hand Joint Positions and Grip Force via HD-EMG and Deep Learning. CoRR abs/2410.23986 (2024) - 2023
- [i29]Kai Klede, Leo Schwinn, Dario Zanca, Björn M. Eskofier:
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. CoRR abs/2305.03022 (2023) - [i28]Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn:
Raising the Bar for Certified Adversarial Robustness with Diffusion Models. CoRR abs/2305.10388 (2023) - [i27]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Bjoern M. Eskofier:
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors. CoRR abs/2305.12380 (2023) - [i26]Toni Albert, Bjoern M. Eskofier, Dario Zanca:
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations. CoRR abs/2305.12384 (2023) - [i25]Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Velocity-Based Channel Charting with Spatial Distribution Map Matching. CoRR abs/2311.08016 (2023) - 2022
- [i24]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. CoRR abs/2203.07676 (2022) - [i23]Christoffer Löffler, Wei-Cheng Lai, Bjoern M. Eskofier, Dario Zanca, Lukas Schmidt, Christopher Mutschler:
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR abs/2203.07861 (2022) - [i22]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. CoRR abs/2203.08409 (2022) - [i21]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. CoRR abs/2204.09093 (2022) - [i20]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. CoRR abs/2205.09619 (2022) - [i19]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR abs/2207.12710 (2022) - [i18]Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. CoRR abs/2210.06294 (2022) - [i17]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR abs/2211.10288 (2022) - [i16]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Simulating Human Gaze with Neural Visual Attention. CoRR abs/2211.12100 (2022) - 2021
- [i15]An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang, Bjoern M. Eskofier:
System Design for a Data-driven and Explainable Customer Sentiment Monitor. CoRR abs/2101.04086 (2021) - [i14]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier:
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR abs/2102.12196 (2021) - [i13]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas Maier:
Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements. CoRR abs/2102.12418 (2021) - [i12]Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Bjoern M. Eskofier:
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks. CoRR abs/2105.10304 (2021) - [i11]Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kämpf, Dario Zanca, Bjoern M. Eskofier:
Towards an IMU-based Pen Online Handwriting Recognizer. CoRR abs/2105.12434 (2021) - [i10]Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. CoRR abs/2107.03704 (2021) - 2020
- [i9]Leo Schwinn, Björn M. Eskofier:
Fast and Stable Adversarial Training through Noise Injection. CoRR abs/2002.10097 (2020) - [i8]Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier:
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs. CoRR abs/2005.01194 (2020) - [i7]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier:
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. CoRR abs/2007.04655 (2020) - [i6]An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier:
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. CoRR abs/2010.00889 (2020) - [i5]An Nguyen, Wenyu Zhang, Leo Schwinn, Bjoern M. Eskofier:
Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment. CoRR abs/2010.11719 (2020) - [i4]Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier:
Sampled Nonlocal Gradients for Stronger Adversarial Attacks. CoRR abs/2011.02707 (2020) - 2016
- [i3]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier:
Stride Length Estimation with Deep Learning. CoRR abs/1609.03321 (2016) - [i2]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier:
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. CoRR abs/1609.03323 (2016) - 2015
- [i1]Ricardo Duarte, Björn M. Eskofier, Martin Rumpf, Josef Wiemeyer:
Modeling and Simulation of Sport Games, Sport Movements, and Adaptations to Training (Dagstuhl Seminar 15382). Dagstuhl Reports 5(9): 38-56 (2015)
Coauthor Index
Thomas Altstidl
aka: Thomas R. Altstidl
aka: Thomas R. Altstidl
Heiko Gassner
aka: Heiko Gaßner
aka: Heiko Gaßner
Christine Martindale
aka: Christine F. Martindale
aka: Christine F. Martindale
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