Benjamin Groh



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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Groh, B., Fritz, J., Deininger, M., Schwameder, H., & Eskofier, B. (2018). Unobtrusive and Wearable Landing Momentum Estimation in Ski Jumping with Inertial-Magnetic Sensors. In IEEE (Eds.), Proceedings of the 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 102-105). Las Vegas, USA.
Zrenner, M., Ullrich, M., Zobel, P., Jensen, U., Laser, F., Groh, B.,... Eskofier, B. (2018). Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation. In IEEE (Eds.), Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 106-109). Las Vegas, US.
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
Blank, P., Groh, B., & Eskofier, B. (2017). Ball Speed and Spin Estimation in Table Tennis Using a Racket-mounted Inertial Sensor. In Proceedings of the 2017 ACM International Symposium on Wearable Computers. Maui, Hawaii, USA.
Drory, A., Groh, B., & Eskofier, B. (2017). Supervised Learning Approach to Markerless Acquisition of Rower Kinematics. In Proceedings of the 26th Congress of the International Society of Biomechanics (ISB). Brisbane, Australia.
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
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
Groh, B., Fleckenstein, M., Eskofier, B., Groh, B., Fleckenstein, M., & Eskofier, B. (2016). Wearable Trick Classification in Freestyle Snowboarding. In IEEE EMBS 13th Annual International Body Sensor Networks Conference. San Francisco, CA, USA.
Kautz, T., Groh, B., & Eskofier, B. (2016). Augmented Motion Models for Constrained Position Tracking with Kalman Filters. Heidelberg, Germany.

Last updated on 2016-04-08 at 05:35