Thomas Kautz



Organisation


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. https://dx.doi.org/10.1109/JBHI.2017.2679486
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. https://dx.doi.org/10.1007/s10618-017-0495-0
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). https://dx.doi.org/10.1145/3130918
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. https://dx.doi.org/10.1016/j.pmcj.2017.05.007
Kautz, T., Eskofier, B., & Pasluosta, C.F. (2017). Generic performance measure for multiclass-classifiers. Pattern Recognition, 68(8), 111 - 125. https://dx.doi.org/10.1016/j.patcog.2017.03.008
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. https://dx.doi.org/10.1109/JBHI.2016.2636456
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. https://dx.doi.org/10.1109/MCG.2016.95

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