Follow
Thomas Kautz
Title
Cited by
Cited by
Year
Sensor-based gait parameter extraction with deep convolutional neural networks
J Hannink, T Kautz, CF Pasluosta, KG Gaßmann, J Klucken, BM Eskofier
IEEE journal of biomedical and health informatics 21 (1), 85-93, 2016
1832016
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment
BM Eskofier, SI Lee, JF Daneault, FN Golabchi, G Ferreira-Carvalho, ...
2016 38th annual international conference of the IEEE engineering in …, 2016
1822016
Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports
T Kautz, BH Groh, J Hannink, U Jensen, H Strubberg, BM Eskofier
Data Mining and Knowledge Discovery 31, 1678-1705, 2017
1762017
Mobile stride length estimation with deep convolutional neural networks
J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ...
IEEE journal of biomedical and health informatics 22 (2), 354-362, 2017
1342017
Generic performance measure for multiclass-classifiers
T Kautz, BM Eskofier, CF Pasluosta
Pattern Recognition 68, 111-125, 2017
772017
Using wearable sensors for semiology-independent seizure detection-towards ambulatory monitoring of epilepsy
BE Heldberg, T Kautz, H Leutheuser, R Hopfengärtner, BS Kasper, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
452015
IMU-based trick classification in skateboarding
BH Groh, T Kautz, D Schuldhaus, BM Eskofier
KDD workshop on large-scale sports analytics 17, 2015
382015
Classification and visualization of skateboard tricks using wearable sensors
BH Groh, M Fleckenstein, T Kautz, BM Eskofier
Pervasive and Mobile Computing 40, 42-55, 2017
352017
Ball impact localization on table tennis rackets using piezo-electric sensors
P Blank, T Kautz, BM Eskofier
Proceedings of the 2016 ACM International Symposium on Wearable Computers, 72-79, 2016
312016
Automated ski velocity and jump length determination in ski jumping based on unobtrusive and wearable sensors
BH Groh, F Warschun, M Deininger, T Kautz, C Martindale, BM Eskofier
proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
212017
Stride length estimation with deep learning
J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ...
arXiv preprint arXiv:1609.03321, 2016
192016
Sensor fusion for multi-player activity recognition in game sports
T Kautz, BH Groh, BM Eskofier
Workshop on Large-Scale Sports Analytics, 21st ACM SIGKDD Conference on …, 2015
182015
Enhancement of speed and accuracy trade-off for sports ball detection in videos—finding fast moving, small objects in real time
A Hiemann, T Kautz, T Zottmann, M Hlawitschka
Sensors 21 (9), 3214, 2021
162021
A robust Kalman framework with resampling and optimal smoothing
T Kautz, BM Eskofier
sensors 15 (3), 4975-4995, 2015
162015
Wearable real-time skateboard trick visualization and its community perception
BH Groh, J Flaschka, M Wirth, T Kautz, M Fleckenstein, BM Eskofier
IEEE computer graphics and applications 36 (5), 12-18, 2016
152016
Acquisition, filtering and analysis of positional and inertial data in sports
T Kautz
FAU University Press, 2017
52017
Augmented motion models for constrained position tracking with Kalman filters
T Kautz, BH Groh, BM Eskofier
2016 19th International Conference on Information Fusion (FUSION), 849-854, 2016
32016
Neuronal cell spike sorting using signal features extracted by PARAFAC
T Just, T Kautz, M Weis, A Williamson, P Husar
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 472-475, 2013
32013
Method for calculating a position of a transponder within an area of interest
T Kautz
US Patent 10,455,537, 2019
22019
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning
J Link, L Schwinn, F Pulsmeyer, T Kautz, BM Eskofier
Sensors 22 (21), 8474, 2022
12022
The system can't perform the operation now. Try again later.
Articles 1–20