Paper
15 August 2023 PPT: pocket yoga personal training system
Biaokai Zhu, Lu Zhang, Yuchen Sun, Yi Shi, Yupeng Jia, Lu Li, Xinran Xie, Zejiao Yang, Song Jie, Sanman Liu
Author Affiliations +
Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127192P (2023) https://doi.org/10.1117/12.2685773
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
The full coverage of electronic products promotes the prevalence of human-computer interaction systems, especially in sports and fitness. Excellent human-computer interaction technology can bring high-quality experiences to human beings. However, the previous research focuses on the tracking of the wearable device and the radio frequency signal to the body part. This article will launch a lightweight, portable yoga private education system that can be mainly in line with coaches. A smartphone can realize real-time tracking of user body motion, combining the evaluation model feedback and valuable guidance. We predict the composition of the limb occlusion by the algorithm and use the segmentation to normalize the accurate calibration of the bone node. Improve the accuracy and robustness of the system while helping users achieve freedom and practical yoga training. The experimental results show that the system can provide meaningful feedback to the user in real-time by accurately assessing the user’s yoga action, high accuracy.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Biaokai Zhu, Lu Zhang, Yuchen Sun, Yi Shi, Yupeng Jia, Lu Li, Xinran Xie, Zejiao Yang, Song Jie, and Sanman Liu "PPT: pocket yoga personal training system", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127192P (15 August 2023); https://doi.org/10.1117/12.2685773
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KEYWORDS
Education and training

Pose estimation

Video

Data acquisition

Bone

Cameras

Image processing

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