Thomas Kautz

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 18

Top Venues

Sensors

CoRR

IEEE J. Biomed. Health Informatics

EMBC

University of Erlangen-Nuremberg, Germany (PHD)

Education History

University of Erlangen-Nuremberg, Germany

PHD

Publications

Johannes Link, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning. Sensors 22 (21) (2022)
Alexander Hiemann, Thomas Kautz, Tino Zottmann, Mario Hlawitschka
Enhancement of Speed and Accuracy Trade-Off for Sports Ball Detection in Videos - Finding Fast Moving, Small Objects in Real Time. Sensors 21 (9) (2021)
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) (2018)
Benjamin H. Groh, Martin Fleckenstein, Thomas Kautz, Björn M. Eskofier
Classification and visualization of skateboard tricks using wearable sensors. Pervasive Mob. Comput. 40 (2017)
S. Maier, A. Liebig, Thomas Kautz, Wolfram Volk
Tool-integrated spring back measuring system for automotive press shops. Prod. Eng. 11 (3) (2017)
Thomas Kautz, Björn M. Eskofier, Cristian F. Pasluosta
Generic performance measure for multiclass-classifiers. Pattern Recognit. 68 (2017)
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Benjamin H. Groh, Frank Warschun, Martin Deininger, Thomas Kautz, Christine Martindale, Björn M. Eskofier
Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (3) (2017)
Thomas Kautz, Benjamin H. Groh, Julius Hannink, Ulf Jensen, Holger Strubberg, Björn M. Eskofier
Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. Data Min. Knowl. Discov. 31 (6) (2017)
Thomas Kautz, Benjamin H. Groh, Björn M. Eskofier
Augmented motion models for constrained position tracking with Kalman filters. FUSION (2016)
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 (2016)
Benjamin H. Groh, Jasmin Flaschka, Markus Wirth, Thomas Kautz, Martin Fleckenstein, Björn M. Eskofier
Wearable Real-Time Skateboard Trick Visualization and Its Community Perception. IEEE Computer Graphics and Applications 36 (5) (2016)
Peter Blank, Thomas Kautz, Björn M. Eskofier
Ball impact localization on table tennis rackets using piezo-electric sensors. ISWC (2016)
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. CoRR (2016)
Christine F. Martindale, Markus Wirth, Stefan Schneegass, Markus Zrenner, Benjamin H. Groh, Peter Blank, Dominik Schuldhaus, Thomas Kautz, Björn M. Eskofier
Workshop on wearables for sports. UbiComp Adjunct (2016)
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
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. EMBC (2016)
Thomas Kautz, Björn M. Eskofier
A Robust Kalman Framework with Resampling and Optimal Smoothing. Sensors 15 (3) (2015)
Beeke E. Heldberg, Thomas Kautz, Heike Leutheuser, Rudiger Hopfengartner, Burkhard S. Kasper, Björn M. Eskofier
Using wearable sensors for semiology-independent seizure detection - towards ambulatory monitoring of epilepsy. EMBC (2015)

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Publication Activity (10 Years)

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Thomas Kautz