Development of monocular vision-based tracking method for wheelchair sports
Recently, tracking systems to measure player positions have been introduced in the sports domain. However, wheelchair sports have not been considered extensively. In addition, user-friendly and low-cost systems for wheelchair sports are uncommon. Thus, in this paper, we propose a method to calculate the kinematic data of wheelchair athletes on a playing field (i.e., player positions and wheelchair directions) using images acquired by a monocular camera. The proposed method was evaluated experimentally, and the root mean square error of the position accuracy was 0.11 m, and the mean average error of the direction accuracy was 6.78 degrees. The results demonstrate that the proposed method outperforms existing tracking methods in terms of accuracy. The findings of this study suggest that it is possible to acquire kinematic data of wheelchair athletes using a simple method, which we expect to contribute to improvement analysis of the wheelchair athlete performance.
© Copyright 2023 Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1. Published by Science and Technology Publications. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | sports for the handicapped technical and natural sciences |
| Tagging: | deep learning visuell Kinematik |
| Published in: | Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1 |
| Language: | English |
| Published: |
Setúbal
Science and Technology Publications
2023
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| Online Access: | http://doi.org/10.5220/0012203600003587 |
| Pages: | 179-186 |
| Document types: | article |
| Level: | advanced |