Evaluation of Machine Learning based Pose Estimation of Surfers on River Waves

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. 

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Titel Evaluation of Machine Learning based Pose Estimation of Surfers on River Waves
Medien PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
Verlag ACM
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Band 2023
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Verfasser/Herausgeber Prof. Michael Zöllner, Stefan Kniesburges, Moritz Krause, Michael Döllinger, Jan Gemeinhardt
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Veröffentlichungsdatum 2023-07-01
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Zitation Zöllner, Michael; Kniesburges, Stefan; Krause, Moritz; Döllinger, Michael; Gemeinhardt, Jan (2023): Evaluation of Machine Learning based Pose Estimation of Surfers on River Waves. PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments 2023. DOI: 10.1145/3594806