Evaluation of Machine Learning based Pose Estimation of Surfers on River Waves
Zöllner M, Krause M, Gemeinhardt J, Döllinger M, Kniesburges S (2023)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2023
Publisher: Association for Computing Machinery
City/Town: New York, NY
Pages Range: 443-447
Conference Proceedings Title: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
Event location: Corfu
ISBN: 9798400700699
Abstract
In this work we are describing our preliminary experimental evaluation of open-source machine learning based pose estimation solutions for tracking a surfer's skeleton on a stationary wave. We are briefly describing the sport's environment and development and the current state-of-the-art of machine learning based single camera 2D and 3D pose estimation solutions. The main part of the paper deals with the experiment's setup and the interpretation of the resulting data of the movements of one surfer. We are closing with our lessons learned and our next steps.
Authors with CRIS profile
Michael Döllinger
Professur für Computational Medicine
Stefan Kniesburges
Lehrstuhl für Hals-Nasen-Ohrenheilkunde
Involved external institutions
Germany (DE)How to cite
APA:
Zöllner, M., Krause, M., Gemeinhardt, J., Döllinger, M., & Kniesburges, S. (2023). Evaluation of Machine Learning based Pose Estimation of Surfers on River Waves. In PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (pp. 443-447). Corfu, GR: New York, NY: Association for Computing Machinery.
MLA:
Zöllner, Michael, et al. "Evaluation of Machine Learning based Pose Estimation of Surfers on River Waves." Proceedings of the 16th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2023, Corfu New York, NY: Association for Computing Machinery, 2023. 443-447.
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