Using wearable sensors for semiology-independent seizure detection - towards ambulatory monitoring of epilepsy. - Beeke E. Heldberg; Thomas Kautz; Heike Leutheuser; Rudiger Hopfengartner; Burkhard S. Kasper; Björn M. Eskofier (EMBC, 2015)

A Robust Kalman Framework with Resampling and Optimal Smoothing. - Thomas Kautz; Björn M. Eskofier (Sensors, 2015)

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. - 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 (EMBC, 2016)

Augmented motion models for constrained position tracking with Kalman filters. - Thomas Kautz; Benjamin H. Groh; Björn M. Eskofier (FUSION, 2016)

Workshop on wearables for sports. - Christine F. Martindale; Markus Wirth; Stefan Schneegass; Markus Zrenner; Benjamin H. Groh; Peter Blank; Dominik Schuldhaus; Thomas Kautz; Björn M. Eskofier (UbiComp Adjunct, 2016)

Ball impact localization on table tennis rackets using piezo-electric sensors. - Peter Blank; Thomas Kautz; Björn M. Eskofier (ISWC, 2016)

Wearable Real-Time Skateboard Trick Visualization and Its Community Perception. - Benjamin H. Groh; Jasmin Flaschka; Markus Wirth; Thomas Kautz; Martin Fleckenstein; Björn M. Eskofier (IEEE Computer Graphics and Applications, 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)

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. - Julius Hannink; Thomas Kautz; Cristian F. Pasluosta; Jochen Klucken; Björn M. Eskofier (CoRR, 2016)

Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. - Thomas Kautz; Benjamin H. Groh; Julius Hannink; Ulf Jensen; Holger Strubberg; Björn M. Eskofier (Data Min. Knowl. Discov., 2017)

Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors. - Benjamin H. Groh; Frank Warschun; Martin Deininger; Thomas Kautz; Christine Martindale; Björn M. Eskofier (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Tool-integrated spring back measuring system for automotive press shops. - Simon Maier; Andi Liebig; Thomas Kautz; Wolfram Volk (Prod. Eng., 2017)

Classification and visualization of skateboard tricks using wearable sensors. - Benjamin H. Groh; Martin Fleckenstein; Thomas Kautz; Björn M. Eskofier (Pervasive Mob. Comput., 2017)

Generic performance measure for multiclass-classifiers. - Thomas Kautz; Björn M. Eskofier; Cristian F. Pasluosta (Pattern Recognit., 2017)

Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks. - Julius Hannink; Thomas Kautz; Cristian F. Pasluosta; Karl-Gunter Gasmann; Jochen Klucken; Björn M. Eskofier (IEEE J. Biomed. Health Informatics, 2017)

Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports. - Thomas Kautz (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)

Enhancement of Speed and Accuracy Trade-Off for Sports Ball Detection in Videos - Finding Fast Moving, Small Objects in Real Time. - Alexander Hiemann; Thomas Kautz; Tino Zottmann; Mario Hlawitschka (Sensors, 2021)

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning. - Johannes Link; Leo Schwinn; Falk Pulsmeyer; Thomas Kautz; Bjoern M. Eskofier (Sensors, 2022)