Eva Dorschky


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

Awards / Honours

2015 : Luise-Prell-Preis

Project member

Human Motion: Biomechanical Simulation for the Reconstruction and Synthesis of Human Motion
Prof. Dr. Björn Eskofier
(01/01/2017 - 31/12/2019)

(ESI-Anwendungszentrum für die digitale Automatisierung, den digitalen Sport und die Automobilsensorik der Zukunft):
ESI@Fitness: ESI@Fitness
Prof. Dr. Björn Eskofier
(01/01/2015 - 31/12/2018)

Publications (Download BibTeX)

Dorschky, E., Krüger, D., Kurfess, N., Schlarb, H., Wartzack, S., Eskofier, B., & van den Bogert, A.J. (2019). Optimal control simulation predicts effects of midsole materials on energy cost of running. Computer Methods in Biomechanics and Biomedical Engineering. https://dx.doi.org/10.1080/10255842.2019.1601179
Koellwejin, A., Dorschky, E., & van den Bogert, A.J. (2018). A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait. Computer Methods in Biomechanics and Biomedical Engineering. https://dx.doi.org/10.1080/10255842.2018.1490954
Nitschke, M., Dorschky, E., Seifer, A.-K., Schlarb, H., van den Bogert, A.J., & Eskofier, B. (2018, September). Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis. Poster presentation at Summer School "Humans in Motion", Heidelberg.
Saffoury, R., Blank, P., Seßner, J., Groh, B., Martindale, C., Dorschky, E.,... Eskofier, B. (2016). Blind Path Obstacle Detector using Smartphone Camera and Line Laser Emitter. In IEEE (Eds.), (pp. 1-7). Vila Real, Portugal.
Reymann, M., Dorschky, E., Groh, B., Martindale, C., Blank, P., & Eskofier, B. (2016). Blood glucose level prediction based on support vector regression using mobile platforms. In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Orlando, Florida, USA, US.
Dorschky, E., Kurfess, N., Krüger, D., Schlarb, H., Eskofier, B., & van den Bogert, A.J. (2016). Predicting the Effects of Midsole Materials on Running Using Optimal Control Simulation. Holly, Michigan, US.
Richer, R., Groh, B., Blank, P., Dorschky, E., Martindale, C., Klucken, J., & Eskofier, B. (2016). Unobtrusive Real-time Heart Rate Variability Analysis for the Detection of Orthostatic Dysregulation. In IEEE (Eds.), 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN). San Francisco, CA, US.
Dorschky, E., Schuldhaus, D., Koerger, H., & Eskofier, B. (2015). A framework for early event detection for wearable systems. In Proceedings of the 2015 ACM International Symposium on Wearable Computers (pp. 109-112). Osaka.
Schuldhaus, D., Zwick, C., Koerger, H., Dorschky, E., Kirk, R., & Eskofier, B. (2015). Inertial Sensor-Based Approach for Shot/Pass Classification During a Soccer Match. In SIGKDD (Eds.), 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 1-4). Sydney, AU.
Dorschky, E., van den Bogert, A.J., Schlarb, H., & Eskofier, B. (2015). Predictive Musculoskeletal Simulation of Uphill and Downhill Running. In Book of Abstracts of the 20th Annual Congress of the European College of Sport Science (pp. 126). Malmö - Schweden.

Last updated on 2016-27-07 at 05:51