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Published in:
2022 | OriginalPaper | Chapter
A Framework for Intelligent Fitness Guiding System
Authors : Haohao Yang, Jin Chen, Lian Shen, Yuwei Liang, Yu-Chi Lee
Published in: Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE
Publisher: Springer Singapore
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Abstract
Using fitness equipment for workout is becoming increasingly popular. High expertise and skills were required for the user to manipulate the equipment for exercising. Injuries were commonly generated by applying an awkward posture to exertion due to lack of professional guidance. This study therefore proposed an intelligent guiding system for instructing users for fitness. The system used 3D computer vision technology to identify the body contour of the user and established a video-base of virtual fitness posture model. This model digitized the user’s actions to accurately obtain fitness posture data in real time, and comparison with the standard motion model through the in-depth algorithm calculation to identify whether the fitness posture is standard. Providing feedbacks to the bodybuilder in time, correct the bodybuilder's motions, and effectively ensure that people are efficient and safe in weight training.