Thomas Kautz


Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)
Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Publications (Download BibTeX)

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Hannink, J., Kautz, T., Pasluosta, C.F., Barth, J., Schülein, S., Gassmann, K.-G.,... Eskofier, B. (2018). Mobile Stride Length Estimation with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 22(2), 354 - 362.
Kautz, T., Groh, B., Hannink, J., Jensen, U., Strubberg, H., & Eskofier, B. (2017). Activity recognition in beach volleyball using a Deep Convolutional Neural Network. Data Mining and Knowledge Discovery, 31(6), 1678–1705.
Groh, B., Warschun, F., Deininger, M., Kautz, T., Martindale, C., & Eskofier, B. (2017). Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3).
Groh, B., Fleckenstein, M., Kautz, T., & Eskofier, B. (2017). Classification and visualization of skateboard tricks using wearable sensors. Pervasive and Mobile Computing, 40, 42-55.
Kautz, T., Eskofier, B., & Pasluosta, C.F. (2017). Generic performance measure for multiclass-classifiers. Pattern Recognition, 68(8), 111 - 125.
Hannink, J., Kautz, T., Pasluosta, C.F., Gaßmann, K.-G., Klucken, J., & Eskofier, B. (2017). Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 21(1), 85--93.
Kautz, T., Groh, B., & Eskofier, B. (2016). Augmented Motion Models for Constrained Position Tracking with Kalman Filters. Heidelberg, Germany.
Blank, P., Kautz, T., & Eskofier, B. (2016). Ball impact localization on table tennis rackets using piezo-electric sensors. In Proceedings of the 2016 ACM International Symposium on Wearable Computers (pp. 72-79). Heidelberg, Deutschland, DE: Association for Computing Machinery, Inc.
Eskofier, B., Lee, S.I., Daneault, J.-F., Golabchi, F.N., Ferreira-Carvalho, G., Vergara-Diaz, G.,... Bonato, P. (2016). Recent Machine Learning Advancements in Sensor-Based Mobility Analysis: Deep Learning for Parkinson’s Disease Assessment. In Proceedings of the 38th IEEE Engineering in Medicine and Biology Society Conference (EMBC 2016) (pp. 655-658). Orlando, USA.
Groh, B., Flaschka, J., Wirth, M., Kautz, T., Fleckenstein, M., & Eskofier, B. (2016). Wearable Real-Time Skateboard Trick Visualization and Its Community Perception. IEEE Computer Graphics and Applications, 36(5), 12 - 18.

Last updated on 2019-18-01 at 22:51