Jens Barth

According to our database, Jens Barth authored at least 20 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

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 Kaempf, Dario Zanca, Bjoern M. Eskofier

Sensors, 2022

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.

Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler

Int. J. Document Anal. Recognit., 2022

2021

Towards an IMU-based Pen Online Handwriting Recognizer.

Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Björn M. Eskofier

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning.

Felix Ott, Mohamad Wehbi, Tim Hamann, Jens Barth, Björn M. Eskofier, Christopher Mutschler

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer.

Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2018

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

2017

Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson's Disease.

Jens Barth

PhD thesis, 2017

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, Waqar Rashid, Nachiappan Chockalingam, Jochen Klucken

Proceedings of the European Conference on Cognitive Ergonomics, 2017

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

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

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

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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Wearable static posturography solution using a novel pressure sensor sole.

Samuel J. Reinfelder, Felix Durlak, Jens Barth, Jochen Klucken, Björn M. Eskofier

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease.

Jens Barth, Michael Sünkel, Katharina Bergner, Gerald Schickhuber, Jürgen Winkler, Jochen Klucken, Björn M. Eskofier

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

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

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011