Stefan Gradl


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


ML-Forum: Verbundprojekt: ML-Forum - Machine Learning Forum
Stefan Gradl; Prof. Dr. Björn Eskofier
(01.11.2017 - 31.10.2019)

Mitarbeit in Forschungsprojekten

Klassifizierung von Stressreaktions-Mustern induziert durch akuten Stress
Prof. Dr. Björn Eskofier

Weitere Forschungsaktivitäten

Prof. Dr. Björn Eskofier; Stefan Gradl
Wearable Computing Systems and Machine Learning for Sports Science Research

Publikationen (Download BibTeX)

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Wirth, M., Gradl, S., Poimann, D., Schaefke, H., Matlok, S., Koerger, H., & Eskofier, B. (2018). Assessment of Perceptual-Cognitive Abilities among Athletes in Virtual Environments: Exploring Interaction Concepts for Soccer Players. In ACM New York, NY, USA ©2018 (Eds.), Proceedings of the 2018 Designing Interactive Systems Conference (pp. 1013-1024). Hong Kong, HK: New York.
Zrenner, M., Gradl, S., Jensen, U., Ullrich, M., & Eskofier, B. (2018). Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units. Sensors, 18(12).
Stefke, A., Wilm, F., Richer, R., Gradl, S., Eskofier, B., Forster, C., & Namer, B. (2018). "MigraineMonitor" – Towards a System for the Prediction of Migraine Attacks using Electrostimulation. In Current Directions in Biomedical Engineering (pp. 629 - 632). Aachen, DE: De Gruyter.
Gradl, S., Wirth, M., Zillig, T., & Eskofier, B. (2018). Visualization of heart activity in virtual reality: A biofeedback application using wearable sensors. In Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 (pp. 152-155). Institute of Electrical and Electronics Engineers Inc..
Leutheuser, H., Lang, N., Gradl-Trautvetter, S., Struck, M., Tobola, A., Hofmann, C.,... Eskofier, B. (2017). Textile Integrated Wearable Technologies for Sports and Medical Applications. In Stefan Schneegass, Oliver Amft (Eds.), Smart Textiles. (pp. 359-382).
Gradl, S., Altini, M., Grieten, L., Eskofier, B., Geusens, N., Mullan, P.,... Rooijakkers, M. (2016). Detection of Fetal Kicks Using Body-Worn Accelerometers During Pregnancy: Trade-offs Between Sensors Number and Positioning. In IEEE Engineering in Medicine and Biology Society (Eds.), Proceedings of the 38th IEEE Engineering in Medicine and Biology Society Conference (EMBC 2016) (pp. 5319-5322). Orlando, USA: Orlando, USA.
Leutheuser, H., Gradl, S., Anneken, L., Arnold, M., Lang, N., Achenbach, S., & Eskofier, B. (2016). Instantaneous P-and T-wave detection: Assessment of three ECG fiducial points detection algorithms. In 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 329-334). University of California, San Francisco (UCSF) Mission Bay Conference CenterSan Francisco; United States.
Gradl, S., Eskofier, B., Eskofier, D., Mutschler, C., & Otto, S. (2016). Virtual and augmented reality in sports-an overview and acceptance study. In Proc. of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16) (pp. 885-888). Heidelberg, DE: ACM.
Leutheuser, H., Tobola, A., Anneken, L., Gradl, S., Arnold, M., Lang, N.,... Eskofier, B. (2015). Arrhythmia classification using RR intervals: Improvement with sinusoidal regression feature. In 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Cambridge, USA: Institute of Electrical and Electronics Engineers Inc..
Lang, N., Brischwein, M., Haßlmeyer, E., Tantinger, D., Feilner, S., Heinrich, A.,... Struck, M. (2015). Filter and Processing Method to Improve R-Peak Detection for ECG Data with Motion Artefacts from Wearable Systems. In Computing in Cardiology 2015 (pp. 917-920). Nice, France: IEEE Computer Society.

Zuletzt aktualisiert 2019-22-01 um 17:50