PPT: pocket yoga personal training system
Biaokai Zhu, Lu Zhang, Yuchen Sun, Shi Yi, Yupeng Jia, Lu Li, Xinran Xie, Zejiao Yang, Jie Guang Song, Sanman Liu · 2023
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.