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2020 – today
- 2023
[c122]Azhar Ali Khaked
, Nobuyuki Oishi, Daniel Roggen, Paula Lago:
Investigating the Effect of Orientation Variability in Deep Learning-based Human Activity Recognition. UbiComp/ISWC Adjunct 2023: 480-485- [c121]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen:
Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors. UbiComp/ISWC Adjunct 2023: 575-585 - [c120]Nimal Jagadeesh Kumar, Alexander Johnson, Robert Cobden, George Valsamakis, J. Gene Gristock, Arash Pouryazdan, Daniel Roggen, Niko Münzenrieder:
A Flexible Inductive Sensor for Non-Invasive Arterial Pulse Measurement. SENSORS 2023: 1-4 - [c119]Nobuyuki Oishi, Daniel Roggen, Philip Birch, Paula Lago:
Learning Using Privileged Information for Wearable-based Human Activity Recognition. PerCom Workshops 2023: 233-234 - [c118]Robert Cobden, Muhammad Zeeshan, Daniel Roggen, Robert J. Prance, Arash Pouryazdan:
Characterisation of Wearable Electric-Field Communication Link for BAN Multimedia Applications. PERCOM 2023: 262-269 - 2022
- [j33]Lloyd Pellatt, Daniel Roggen:
Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance. Frontiers Comput. Sci. 4 (2022) - [j32]Daniel Roggen, Katia Vega, Hsin-Liu Cindy Kao, Troy Robert Nachtigall, Jamie A. Ward, Michael Beigl:
The 25th Edition of the International Symposium on Wearable Computers. IEEE Pervasive Comput. 21(2): 105-111 (2022) - [c117]Nobuyuki Oishi, Paula Lago, Phil Birch, Daniel Roggen:
Hierarchical Feature Recovery for Robust Human Activity Recognition in Body Sensor Networks. UbiComp/ISWC Adjunct 2022: 364-370 - [c116]Lloyd Pellatt, Marius Bock, Daniel Roggen, Kristof Van Laerhoven:
A Public Repository to Improve Replicability and Collaboration in Deep Learning for HAR. PerCom Workshops 2022: 54-57 - [c115]Lukas Günthermann, Lloyd Pellatt, Daniel Roggen:
Slow Feature Preprocessing in Deep Neural Networks for Wearable Sensor-Based Locomotion Recognition. PerCom Workshops 2022: 58-61 - [c114]Daniel Roggen, Robert Cobden, Arash Pouryazdan, Muhammad Zeeshan:
Wearable FPGA Platform for Accelerated DSP and AI Applications. PerCom Workshops 2022: 66-69 - [c113]Muhammad Zeeshan, Arash Pouryazdan, Robert Cobden, Stephen Wang, Robert J. Prance, Daniel Roggen:
Electric Field Short-range Over-the-air Communication for Wearable and IoT Applications with Off-the-shelf Microcontrollers. WoWMoM 2022: 251-260 - [e5]Md. Atiqur Rahman Ahad, Sozo Inoue, Daniel Roggen, Kaori Fujinami:
Sensor- and Video-Based Activity and Behavior Computing - Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021), October 22-23, 2021. Smart Innovation, Systems and Technologies 291, Springer 2022, ISBN 978-981-19-0360-1 [contents] - [d5]Hristijan Gjoreski, Mathias Ciliberto, Lin Wang, Francisco Javier Ordóñez Morales, Sami Mekki, Stefan Valentin, Daniel Roggen:
Sussex-Huawei Locomotion and Transportation Dataset. IEEE DataPort, 2022
- 2021
- [j31]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen:
Three-Year Review of the 2018-2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors. Frontiers Comput. Sci. 3: 713719 (2021) - [j30]Mathias Ciliberto, Vítor Fortes Rey, Alberto Calatroni, Paul Lukowicz, Daniel Roggen:
Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition. Frontiers Comput. Sci. 3: 792065 (2021) - [j29]Oresti Banos, Alberto Calatroni, Miguel Damas, Héctor Pomares, Daniel Roggen, Ignacio Rojas, Claudia Villalonga:
Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning. Neural Process. Lett. 53(5): 3169-3197 (2021) - [c112]Mathias Ciliberto, Luis Alejandro Ponce Cuspinera, Daniel Roggen:
Collecting a Dataset of Gestures for Skill Assessment in the Field: a beach volleyball serves case study. UbiComp/ISWC Adjunct 2021: 291-297 - [c111]Leonardo Azael García-García, George Valsamakis, Paul Kreitmair, Niko Münzenrieder, Daniel Roggen:
Inferring Complex Textile Shape from an Integrated Carbon Black-infused Ecoflex-based Bend and Stretch Sensor Array. UbiComp/ISWC Adjunct 2021: 298-303 - [c110]Lin Wang, Mathias Ciliberto, Hristijan Gjoreski, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen:
Locomotion and Transportation Mode Recognition from GPS and Radio Signals: Summary of SHL Challenge 2021. UbiComp/ISWC Adjunct 2021: 412-422 - [c109]Lloyd Pellatt, Daniel Roggen:
Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance. ISWC 2021: 1-6 - [c108]Nobuyuki Oishi, Benedetta Heimler, Lloyd Pellatt, Meir Plotnik, Daniel Roggen:
Detecting Freezing of Gait with Earables Trained from VR Motion Capture Data. ISWC 2021: 33-37 - [c107]Leonardo Azael García-García, George Valsamakis, Niko Münzenrieder, Daniel Roggen:
Lessons Learned in Developing Sensorised Textiles to Capture Body Shapes. PervasiveHealth 2021: 365-380 - [e4]Daniel Roggen, Katia Vega, Hsin-Liu Cindy Kao:
ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, Virtual Event, September 21-26, 2021. ACM 2021, ISBN 978-1-4503-8462-9 [contents] - [d4]Mathias Ciliberto, Luis Alejandro Ponce Cuspinera, Daniel Roggen:
Wearlab Beach Volleyball Serves and Games. IEEE DataPort, 2021 - [d3]Mathias Ciliberto, Vítor Fortes Rey, Alberto Calatroni, Paul Lukowicz, Daniel Roggen:
Opportunity ++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-based Human Activity Recognition. IEEE DataPort, 2021 - 2020
- [j28]Pasindu Lugoda, Júlio C. Costa, Carlos Oliveira, Leonardo Azael García-García, Sanjula D. Wickramasinghe, Arash Pouryazdan, Daniel Roggen, Tilak Dias, Niko Münzenrieder:
Flexible Temperature Sensor Integration into E-Textiles Using Different Industrial Yarn Fabrication Processes. Sensors 20(1): 73 (2020) - [c106]Lloyd Pellatt, Daniel Roggen:
CausalBatch: solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognition. UbiComp/ISWC Adjunct 2020: 272-277 - [c105]Daniel Roggen:
ARM cortex M4-based extensible multimodal wearable platform for sensor research and context sensing from motion & sound. UbiComp/ISWC Adjunct 2020: 284-289 - [c104]Lukas Günthermann, Ivor Simpson, Daniel Roggen:
Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks. UbiComp/ISWC Adjunct 2020: 311-316 - [c103]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen:
Summary of the sussex-huawei locomotion-transportation recognition challenge 2020. UbiComp/ISWC Adjunct 2020: 351-358 - [c102]Leonardo Azael García-García, Júlio C. Costa, Pasindu Lugoda, Daniel Roggen, Niko Münzenrieder:
Copper wire based electrical contacts for direct interfacing of stretchable sensors. IEEE SENSORS 2020: 1-4 - [c101]Zygimantas Jocys, Arash Pouryazdan, Daniel Roggen:
Multimodal fusion of IMUs and EPS body-worn sensors for scratch recognition. PervasiveHealth 2020: 325-335
2010 – 2019
- 2019
- [j27]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Sami Mekki, Stefan Valentin, Daniel Roggen:
Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset. IEEE Access 7: 10870-10891 (2019) - [c100]Mathias Ciliberto, Daniel Roggen:
WLCSSCuda: a CUDA accelerated template matching method for gesture recognition. UbiComp 2019: 32-34 - [c99]Pasindu Lugoda, Leonardo Azael García-García, Sebastien Richoz, Niko Münzenrieder, Daniel Roggen:
ShapeSense3D: textile-sensing and reconstruction of body geometries. UbiComp/ISWC Adjunct 2019: 133-136 - [c98]Sebastien Richoz, Andrés Pérez-Uribe, Philip Birch, Daniel Roggen:
Benchmarking deep classifiers on mobile devices for vision-based transportation recognition. UbiComp/ISWC Adjunct 2019: 803-807 - [c97]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen:
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019. UbiComp/ISWC Adjunct 2019: 849-856 - [c96]Lin Wang, Daniel Roggen:
Sound-based Transportation Mode Recognition with Smartphones. ICASSP 2019: 930-934 - [p2]Mathias Ciliberto, Lin Wang, Daniel Roggen, Rüdiger Zillmer:
Drinking Gesture Recognition from Poorly Annotated Data: A Case Study. Human Activity Sensing 2019: 71-89 - [p1]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Sami Mekki, Stefan Valentin, Daniel Roggen:
Benchmark Performance for the Sussex-Huawei Locomotion and Transportation Recognition Challenge 2018. Human Activity Sensing 2019: 153-170 - [e3]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven:
Human Activity Sensing - Corpus and Applications. Springer 2019, ISBN 978-3-030-13000-8 [contents] - 2018
- [j26]Hristijan Gjoreski, Mathias Ciliberto, Lin Wang, Francisco Javier Ordóñez Morales, Sami Mekki, Stefan Valentin, Daniel Roggen:
The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices. IEEE Access 6: 42592-42604 (2018) - [c95]Daniel Roggen, Arash Pouryazdan, Mathias Ciliberto:
Poster: BlueSense - Designing an extensible platform for wearable motion sensing, sensor research and IoT applications. EWSN 2018: 177-178 - [c94]Mathias Ciliberto, Luis Ponce Cuspinera, Daniel Roggen:
Demo: Complex human gestures encoding from wearable inertial sensors for activity recognition. EWSN 2018: 193-194 - [c93]Mathias Ciliberto, Lin Wang, Daniel Roggen, Rüdiger Zillmer:
A Case Study for Human Gesture Recognition from Poorly Annotated Data. UbiComp/ISWC Adjunct 2018: 1434-1443 - [c92]Lin Wang, Hristijan Gjoreski, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen:
Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge. UbiComp/ISWC Adjunct 2018: 1521-1530 - [c91]Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Sami Mekki, Stefan Valentin, Daniel Roggen:
Benchmarking the SHL Recognition Challenge with Classical and Deep-Learning Pipelines. UbiComp/ISWC Adjunct 2018: 1626-1635 - 2017
- [j25]Xiyuan Liu, Zhengguo Sheng, Changchuan Yin, Falah H. Ali, Daniel Roggen:
Performance Analysis of Routing Protocol for Low Power and Lossy Networks (RPL) in Large Scale Networks. IEEE Internet Things J. 4(6): 2172-2185 (2017) - [c90]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 - [c89]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven:
5th Int. workshop on human activity sensing corpus and applications (HASCA): towards open-ended context awareness. UbiComp/ISWC Adjunct 2017: 530-536 - [c88]Hristijan Gjoreski, Daniel Roggen:
Unsupervised online activity discovery using temporal behaviour assumption. ISWC 2017: 42-49 - [c87]Hristijan Gjoreski, Mathias Ciliberto, Francisco Javier Ordóñez Morales, Daniel Roggen, Sami Mekki, Stefan Valentin:
A Versatile Annotated Dataset for Multimodal Locomotion Analytics with Mobile Devices. SenSys 2017: 61:1-61:2 - [c86]Mathias Ciliberto, Francisco Javier Ordóñez Morales, Hristijan Gjoreski, Daniel Roggen, Sami Mekki, Stefan Valentin:
High reliability Android application for multidevice multimodal mobile data acquisition and annotation. SenSys 2017: 62:1-62:2 - 2016
- [j24]Francisco Javier Ordóñez Morales, Daniel Roggen:
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition. Sensors 16(1): 115 (2016) - [j23]Michael Hardegger, Daniel Roggen, Alberto Calatroni, Gerhard Tröster:
S-SMART: A Unified Bayesian Framework for Simultaneous Semantic Mapping, Activity Recognition, and Tracking. ACM Trans. Intell. Syst. Technol. 7(3): 34:1-34:28 (2016) - [c85]Charles Templeman, Francisco Javier Ordóñez Morales, Andrew Symes, Daniel Roggen:
Exploring glass as a novel method for hands-free data entry in flexible cystoscopy. UbiComp 2016: 581-592 - [c84]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven:
4th workshop on human activity sensing corpus and applications: towards open-ended context awareness. UbiComp Adjunct 2016: 690-695 - [c83]Mathias Ciliberto, Daniel Roggen, Francisco Javier Ordóñez Morales:
Exploring human activity annotation using a privacy preserving 3D model. UbiComp Adjunct 2016: 803-812 - [c82]Arash Pouryazdan, Robert J. Prance, Helen Prance, Daniel Roggen:
Wearable electric potential sensing: a new modality sensing hair touch and restless leg movement. UbiComp Adjunct 2016: 846-850 - [c81]Luis Ponce Cuspinera, Sakura Uetsuji, Francisco Javier Ordóñez Morales, Daniel Roggen:
Beach volleyball serve type recognition. ISWC 2016: 44-45 - [c80]Daniel Roggen, Arash Pour Yazdan, Francisco Javier Ordóñez Morales, Robert J. Prance, Helen Prance:
Electric field phase sensing for wearable orientation and localisation applications. ISWC 2016: 52-53 - [c79]Francisco Javier Ordóñez Morales, Daniel Roggen:
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations. ISWC 2016: 92-99 - 2015
- [j22]Daniel Gatica-Perez, Daniel Roggen, Masaaki Fukumoto:
Theme issue from ISWC 2013. Pers. Ubiquitous Comput. 19(1): 103-104 (2015) - [j21]Michael Hardegger, Daniel Roggen, Gerhard Tröster:
3D ActionSLAM: wearable person tracking in multi-floor environments. Pers. Ubiquitous Comput. 19(1): 123-141 (2015) - [c78]Daniel Roggen, Luis Ponce Cuspinera, Guilherme Pombo, Falah H. Ali, Long-Van Nguyen-Dinh:
Limited-Memory Warping LCSS for Real-Time Low-Power Pattern Recognition in Wireless Nodes. EWSN 2015: 151-167 - [c77]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas:
International workshop on human activity sensing corpus and its application (HASCA2015). UbiComp/ISWC Adjunct 2015: 1399-1403 - [c76]Elizabeth Rendon-Morales, Daniel Roggen, Helen Prance, Robert J. Prance:
Towards the correlation between human hydration and the electrical activity of the heart using Electric Potential Sensors. SAS 2015: 1-5 - 2014
- [j20]Bernd Tessendorf, Franz Gravenhorst, Daniel Roggen, Thomas Stiefmeier, Christina Strohrmann, Gerhard Tröster, Peter Derleth, Manuela Feilner:
Exploration of head gesture control for hearing instruments. Int. J. Ad Hoc Ubiquitous Comput. 16(4): 240-249 (2014) - [j19]Daniel Roggen, Daniel Gatica-Perez, Masaaki Fukumoto, Kristof Van Laerhoven:
ISWC 2013-Wearables Are Here to Stay. IEEE Pervasive Comput. 13(1): 14-18 (2014) - [c75]Roisin McNaney, John Vines, Daniel Roggen, Madeline Balaam, Pengfei Zhang, Ivan Poliakov, Patrick Olivier:
Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's. CHI 2014: 2551-2554 - [c74]Nobuo Kawaguchi, Sozo Inoue, Nobuhiko Nishio, Susanna Pirttikangas, Daniel Roggen:
International workshop on human activity sensing corpus and its application (HASCA2014). UbiComp Adjunct 2014: 715-719 - [c73]Tudor Miu, Paolo Missier, Daniel Roggen, Thomas Plötz:
On strategies for budget-based online annotation in human activity recognition. UbiComp Adjunct 2014: 767-776 - [c72]Dawud Gordon, Martin Wirz, Daniel Roggen, Gerhard Tröster, Michael Beigl:
Group affiliation detection using model divergence for wearable devices. ISWC 2014: 19-26 - [c71]Michael Hardegger, Long-Van Nguyen-Dinh, Alberto Calatroni, Gerhard Tröster, Daniel Roggen:
Enhancing action recognition through simultaneous semantic mapping from body-worn motion sensors. ISWC 2014: 99-106 - 2013
- [j18]Daniel Roggen, Gerhard Tröster, Paul Lukowicz, Alois Ferscha, José del R. Millán, Ricardo Chavarriaga:
Opportunistic Human Activity and Context Recognition. Computer 46(2): 36-45 (2013) - [j17]Bernd Tessendorf, Matjaz Debevc, Peter Derleth, Manuela Feilner, Franz Gravenhorst, Daniel Roggen, Thomas Stiefmeier, Gerhard Tröster:
Design of a multimodal hearing system. Comput. Sci. Inf. Syst. 10(1): 483-501 (2013) - [j16]Martin Wirz, Tobias Franke, Daniel Roggen, Eve Mitleton-Kelly, Paul Lukowicz, Gerhard Tröster:
Probing crowd density through smartphones in city-scale mass gatherings. EPJ Data Sci. 2(1): 5 (2013) - [j15]Daniel Roggen, Kilian Förster, Alberto Calatroni, Gerhard Tröster:
The adARC pattern analysis architecture for adaptive human activity recognition systems. J. Ambient Intell. Humaniz. Comput. 4(2): 169-186 (2013) - [j14]Atif Manzoor, Hong Linh Truong, Alberto Calatroni, Daniel Roggen, Mélanie Bouroche, Siobhán Clarke, Vinny Cahill, Gerhard Tröster, Schahram Dustdar:
Analyzing the impact of different action primitives in designing high-level human activity recognition systems. J. Ambient Intell. Smart Environ. 5(5): 443-461 (2013) - [j13]Ricardo Chavarriaga, Hesam Sagha, Alberto Calatroni, Sundara Tejaswi Digumarti, Gerhard Tröster, José del R. Millán, Daniel Roggen:
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition. Pattern Recognit. Lett. 34(15): 2033-2042 (2013) - [c70]Sinziana Mazilu, Ulf Blanke, Daniel Roggen, Gerhard Tröster, Eran Gazit, Jeffrey M. Hausdorff:
Engineers meet clinicians: augmenting Parkinson's disease patients to gather information for gait rehabilitation. AH 2013: 124-127 - [c69]Hesam Sagha, Alberto Calatroni, José del R. Millán, Daniel Roggen, Gerhard Tröster, Ricardo Chavarriaga:
Robust activity recognition combining anomaly detection and classifier retraining. BSN 2013: 1-6 - [c68]Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Kaori Fujinami, Susanna Pirttikangas:
Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (hasca2013). UbiComp (Adjunct Publication) 2013: 599-604 - [c67]Reuben Kirkham, Aftab Khan, Sourav Bhattacharya, Nils Y. Hammerla, Sebastian Mellor, Daniel Roggen, Thomas Ploetz:
Automatic correction of annotation boundaries in activity datasets by class separation maximization. UbiComp (Adjunct Publication) 2013: 673-678 - [c66]Michael Hardegger, Sinziana Mazilu, Dario Caraci, Frederik Hess, Daniel Roggen, Gerhard Tröster:
ActionSLAM on a smartphone: At-home tracking with a fully wearable system. IPIN 2013: 1-8 - [c65]Michael Hardegger, Gerhard Tröster, Daniel Roggen:
Improved actionSLAM for long-term indoor tracking with wearable motion sensors. ISWC 2013: 1-8 - [c64]Long-Van Nguyen-Dinh, Cédric Waldburger, Daniel Roggen, Gerhard Tröster:
Tagging human activities in video by crowdsourcing. ICMR 2013: 263-270 - [c63]Sinziana Mazilu, Alberto Calatroni, Eran Gazit, Daniel Roggen, Jeffrey M. Hausdorff, Gerhard Tröster:
Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson's Disease. MLDM 2013: 144-158 - [c62]Mikkel Baun Kjærgaard, Henrik Blunck, Markus Wüstenberg, Kaj Grønbæk, Martin Wirz, Daniel Roggen, Gerhard Tröster:
Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data. PerCom 2013: 56-64 - [e2]Kristof Van Laerhoven, Daniel Roggen, Daniel Gatica-Perez, Masaaki Fukumoto:
Proceedings of the 17th Annual International Symposium on Wearable Computers. ISWC 2013, Zurich, Switzerland, September 8-12, 2013. ACM 2013, ISBN 978-1-4503-2127-3 [contents] - [d2]Daniel Roggen, Meir Plotnik, Jeffrey M. Hausdorff:
Daphnet Freezing of Gait. UCI Machine Learning Repository, 2013 - 2012
- [j12]Piero Zappi, Daniel Roggen, Elisabetta Farella, Gerhard Tröster, Luca Benini:
Network-Level Power-Performance Trade-Off in Wearable Activity Recognition: A Dynamic Sensor Selection Approach. ACM Trans. Embed. Comput. Syst. 11(3): 68:1-68:30 (2012) - [c61]Bernd Tessendorf, Peter Derleth, Manuela Feilner, Daniel Roggen, Thomas Stiefmeier, Gerhard Tröster:
Automatic Power-Off for Binaural Hearing Instruments. AmI 2012: 409-414 - [c60]Bernd Tessendorf, Peter Derleth, Manuela Feilner, Franz Gravenhorst, Andreas Kettner, Daniel Roggen, Thomas Stiefmeier, Gerhard Tröster:
Ear-worn reference data collection and annotation for multimodal context-aware hearing instruments. EMBC 2012: 2468-2471 - [c59]Mikkel Baun Kjærgaard, Martin Wirz, Daniel Roggen, Gerhard Tröster:
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones. UbiComp 2012: 240-249 - [c58]Bernd Tessendorf, Peter Derleth, Manuela Feilner, Daniel Roggen, Thomas Stiefmeier, Gerhard Tröster:
Improving Game Accessibility with Vibrotactile-Enhanced Hearing Instruments. ICCHP (1) 2012: 463-470 - [c57]Kristian Cujia, Martin Wirz, Mikkel Baun Kjærgaard, Daniel Roggen, Gerhard Tröster:
DactyLoc: A minimally geo-referenced WiFi+GSM-fingerprint-based localization method for positioning in urban spaces. IPIN 2012: 1-9 - [c56]Michael Hardegger, Daniel Roggen, Sinziana Mazilu, Gerhard Tröster:
ActionSLAM: Using location-related actions as landmarks in pedestrian SLAM. IPIN 2012: 1-10 - [c55]Long-Van Nguyen-Dinh, Daniel Roggen, Alberto Calatroni, Gerhard Tröster:
Improving online gesture recognition with template matching methods in accelerometer data. ISDA 2012: 831-836 - [c54]Oresti Baños, Alberto Calatroni, Miguel Damas, Héctor Pomares, Ignacio Rojas, Hesam Sagha, José del R. Millán, Gerhard Tröster, Ricardo Chavarriaga, Daniel Roggen:
Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities. ISWC 2012: 92-99 - [c53]Mikkel Baun Kjærgaard, Martin Wirz, Daniel Roggen, Gerhard Tröster:
Mobile sensing of pedestrian flocks in indoor environments using WiFi signals. PerCom 2012: 95-102 - [c52]Sinziana Mazilu, Michael Hardegger, Zack Zhu, Daniel Roggen, Gerhard Tröster, Meir Plotnik, Jeffrey M. Hausdorff:
Online detection of freezing of gait with smartphones and machine learning techniques. PervasiveHealth 2012: 123-130 - [c51]Alberto Calatroni, Daniel Roggen, Gerhard Tröster:
Design of an Ecology of Activity-Aware Cells in Ambient Intelligence Environments. SyRoCo 2012: 441-446 - [c50]Martin Wirz, Tobias Franke, Daniel Roggen, Eve Mitleton-Kelly, Paul Lukowicz, Gerhard Tröster:
Inferring Crowd Conditions from Pedestrians' Location Traces for Real-Time Crowd Monitoring during City-Scale Mass Gatherings. WETICE 2012: 367-372 - [d1]Daniel Roggen, Alberto Calatroni, Long-Van Nguyen-Dinh, Ricardo Chavarriaga, Hesam Sagha:
OPPORTUNITY Activity Recognition. UCI Machine Learning Repository, 2012 - 2011
- [j11]Daniel Roggen, Clemens Lombriser, Mirco Rossi, Gerhard Tröster:
Titan: An Enabling Framework for Activity-Aware "Pervasive Apps" in Opportunistic Personal Area Networks. EURASIP J. Wirel. Commun. Netw. 2011 (2011) - [j10]