Thomas Kautz - RankMe

19 papers C 1Misc 1Journal 13Unranked 3

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