Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease. - Jens Barth; Jochen Klucken; Patrick Kugler; Thomas Kammerer; Ralph Steidl; Jürgen Winkler; Joachim Hornegger; Björn M. Eskofier (EMBC, 2011)

Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease. - Jens Barth; Michael Sünkel 002; Katharina Bergner; Gerald Schickhuber; Jürgen Winkler; Jochen Klucken; Björn M. Eskofier (EMBC, 2012)

Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities. - Jens Barth; Cäcilia Oberndorfer; Patrick Kugler; Dominik Schuldhaus; Jürgen Winkler; Jochen Klucken; Björn M. Eskofier (EMBC, 2013)

Wearable static posturography solution using a novel pressure sensor sole. - Samuel J. Reinfelder; Felix Durlak; Jens Barth; Jochen Klucken; Björn M. Eskofier (EMBC, 2014)

Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation. - Christoph M. Kanzler; Jens Barth; Alexander Rampp; Heiko Schlarb; Franz Rott; Jochen Klucken; Björn M. Eskofier (EMBC, 2015)

Pull test estimation in Parkinson's disease patients using wearable sensor technology. - Cristian F. Pasluosta; Jens Barth; Heiko Gassner; Jochen Klucken; Björn M. Eskofier (EMBC, 2015)

Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors. - Samuel J. Reinfelder; Roland Hauer; Jens Barth; Jochen Klucken; Björn M. Eskofier (EMBC, 2015)

Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. - 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 (Sensors, 2015)

Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients. - Alexander Rampp; Jens Barth; Samuel Schülein; Karl-Gunter Gasmann; Jochen Klucken; Björn M. Eskofier (IEEE Trans. Biomed. Eng., 2015)

Inertial sensor based gait analysis discriminates subjects with and without visual impairment caused by simulated macular degeneration. - Christoph M. Kanzler; Jens Barth; Jochen Klucken; Björn M. Eskofier (EMBC, 2016)

Stride Length Estimation with Deep Learning. - Julius Hannink; Thomas Kautz; Cristian F. Pasluosta; Jens Barth; Samuel Schülein; Karl-Günter Gaßmann; Jochen Klucken; Björn M. Eskofier (CoRR, 2016)

Using Wearable Inertial Sensors to Compare Different Versions of the Dual Task Paradigm during Walking. - 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; et al. (ECCE, 2017)

Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson's Disease. - Jens Barth (2017)

Mobile Stride Length Estimation With Deep Convolutional Neural Networks. - Julius Hannink; Thomas Kautz; Cristian F. Pasluosta; Jens Barth; Samuel Schülein; Karl-Günter Gaßmann; Jochen Klucken; Björn M. Eskofier (IEEE J. Biomed. Health Informatics, 2018)

Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. - Mohamad Wehbi; Tim Hamann; Jens Barth; Bjoern M. Eskofier (ICFHR, 2020)

The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning. - Felix Ott 001; Mohamad Wehbi; Tim Hamann; Jens Barth; Björn M. Eskofier; Christopher Mutschler (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Towards an IMU-based Pen Online Handwriting Recognizer. - Mohamad Wehbi; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Björn M. Eskofier (ICDAR (3), 2021)

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens. - Felix Ott 001; David Rügamer; Lucas Heublein; Tim Hamann; Jens Barth; Bernd Bischl; Christopher Mutschler (Int. J. Document Anal. Recognit., 2022)

Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. - Mohamad Wehbi; Daniel Luge; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Bjoern M. Eskofier (Sensors, 2022)

ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications. - Fabian Kreß; Alexey Serdyuk; Micha Hiegle; Disnebio Waldmann; Tim Hotfilter; Julian Höfer; Tim Hamann; Jens Barth; Peter Kämpf; Tanja Harbaum; Jürgen Becker 001 (DSD, 2023)

Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. - Alexey Serdyuk; Fabian Kreß; Micha Hiegle; Tanja Harbaum; Jürgen Becker 001; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jens Barth; Peter Kämpf (WF-IoT, 2023)

KIHT: Kaligo-Based Intelligent Handwriting Teacher. - Tanja Harbaum; Alexey Serdyuk; Fabian Kreß; Tim Hamann; Jens Barth; Peter Kämpf; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jessica Delahaie (DATE, 2024)

Robust and Efficient Writer-Independent IMU-Based Handwriting Recognization. - Jindong Li; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Björn M. Eskofier (CoRR, 2025)