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Jens Barth
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2020 – today
- 2024
- [c14]Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, Peter Kämpf, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jessica Delahaie:
KIHT: Kaligo-Based Intelligent Handwriting Teacher. DATE 2024: 1-6 - 2023
- [c13]Fabian Kreß, Alexey Serdyuk, Micha Hiegle, Disnebio Waldmann, Tim Hotfilter
, Julian Höfer, Tim Hamann, Jens Barth, Peter Kämpf, Tanja Harbaum, Jürgen Becker:
ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications. DSD 2023: 569-576 - [c12]Alexey Serdyuk, Fabian Kreß, Micha Hiegle, Tanja Harbaum, Jürgen Becker, Florent Imbert, Yann Soullard, Romain Tavenard, Éric Anquetil, Jens Barth, Peter Kämpf:
Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. WF-IoT 2023: 1-6 - 2022
- [j6]Felix Ott
, David Rügamer
, Lucas Heublein
, Tim Hamann, Jens Barth
, Bernd Bischl
, Christopher Mutschler
:
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens. Int. J. Document Anal. Recognit. 25(4): 385-414 (2022) - [j5]Mohamad Wehbi
, Daniel Luge, Tim Hamann, Jens Barth
, Peter Kaempf, 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) - [i4]Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler:
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens. CoRR abs/2202.07036 (2022) - 2021
- [c11]Mohamad Wehbi
, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca
, Björn M. Eskofier
:
Towards an IMU-based Pen Online Handwriting Recognizer. ICDAR (3) 2021: 289-303 - [i3]Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Bjoern M. Eskofier:
Towards an IMU-based Pen Online Handwriting Recognizer. CoRR abs/2105.12434 (2021) - [i2]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
- [j4]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) - [c10]Mohamad Wehbi
, Tim Hamann, Jens Barth, Bjoern M. Eskofier
:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. ICFHR 2020: 295-300
2010 – 2019
- 2018
- [j3]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
- [b1]Jens Barth:
Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson's Disease. University of Erlangen-Nuremberg, Germany, 2017, ISBN 978-3-96147-082-2, pp. 1-220 - [c9]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 - 2016
- [c8]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 - [i1]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) - 2015
- [j2]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) - [j1]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) - [c7]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 - [c6]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 - [c5]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 - 2014
- [c4]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 - 2013
- [c3]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 - 2012
- [c2]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 - 2011
- [c1]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
Coauthor Index
aka: Bjoern M. Eskofier
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last updated on 2024-08-05 20:23 CEST by the dblp team
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