| 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 | 195 | 2016 |
| 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 | 195 | 2016 |
| 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 | 191 | 2017 |
| 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 | 143 | 2017 |
| Generic performance measure for multiclass-classifiers T Kautz, BM Eskofier, CF Pasluosta Pattern Recognition 68, 111-125, 2017 | 85 | 2017 |
| 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 | 47 | 2015 |
| IMU-based trick classification in skateboarding BH Groh, T Kautz, D Schuldhaus, BM Eskofier KDD workshop on large-scale sports analytics 17, 2015 | 42 | 2015 |
| 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 | 38 | 2017 |
| 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 | 32 | 2016 |
| Stride length estimation with deep learning J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... arXiv preprint arXiv:1609.03321, 2016 | 22 | 2016 |
| 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 | 21 | 2021 |
| 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 | 21 | 2017 |
| 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 | 20 | 2015 |
| A robust Kalman framework with resampling and optimal smoothing T Kautz, BM Eskofier sensors 15 (3), 4975-4995, 2015 | 18 | 2015 |
| 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 | 15 | 2016 |
| Acquisition, filtering and analysis of positional and inertial data in sports T Kautz FAU University Press, 2017 | 6 | 2017 |
| 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 | 3 | 2016 |
| 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 | 3 | 2013 |
| 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 | 2 | 2022 |
| Method for calibrating a local positioning system based on time-difference-of-arrival measurements T Kautz, S Scholz, B Eskofier US Patent 10,852,386, 2020 | 2 | 2020 |
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz Munich在 fau.de 的电子邮件经过验证
