Thomas Kautz

According to our database, Thomas Kautz authored at least 19 papers between 2015 and 2022.

Collaborative distances:

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

2022

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

2021

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

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

Acquisition, Filtering and Analysis of Positional and Inertial Data in Sports.

Thomas Kautz

PhD thesis, 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

Generic performance measure for multiclass-classifiers.

Thomas Kautz, Björn M. Eskofier, Cristian F. Pasluosta

Pattern Recognit., 2017

Classification and visualization of skateboard tricks using wearable sensors.

Benjamin H. Groh, Martin Fleckenstein, Thomas Kautz, Björn M. Eskofier

Pervasive Mob. Comput., 2017

Tool-integrated spring back measuring system for automotive press shops.

Simon Maier, Andi Liebig, Thomas Kautz, Wolfram Volk

Prod. Eng., 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

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

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

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

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

Ball impact localization on table tennis rackets using piezo-electric sensors.

Peter Blank, Thomas Kautz, Björn M. Eskofier

Proceedings of the 2016 ACM International Symposium on Wearable Computers, 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

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Augmented motion models for constrained position tracking with Kalman filters.

Thomas Kautz, Benjamin H. Groh, Björn M. Eskofier

Proceedings of the 19th International Conference on Information Fusion, 2016

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

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

2015

A Robust Kalman Framework with Resampling and Optimal Smoothing.

Thomas Kautz, Björn M. Eskofier

Sensors, 2015

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

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