体育助理:体育活动相似度计算

Kun-Ru Wu, Yi-En Li, Yu-Yang Ding, Yu-Chee Tseng
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引用次数: 0

摘要

在参加一般体育活动时,正确的姿势和动作对提高表现和防止受伤很重要。在本文中,我们提出了一个系统来观察体育活动,并计算两个人(例如初学者和专业层)之间的差异。姿势差异可以帮助人们改善他们的姿势。该系统由深度学习方法和相似度计算组成。深度学习方法将检测人体姿势并输出按键。如果运动需要额外的设备,例如棒球棒,系统使用物体检测来提取键接头。接下来,它计算两个人之间的姿势相似性。开发的系统可以帮助人们了解他们的姿势是否正确,哪些身体部位可以改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sports Assistant: Similarity Calculation for Sports Activity
When participating in general sports activities, proper posture and movement are important to improve performance and prevent injury. In this paper, we propose a system to observe sports activity and calculate the difference between two people (for example, beginners and professional layers). The pose difference could help people improve their posture. The system consists of deep learning methods and similarity calculation. The deep learning method will detect human pose and output keyjoints. If the sport requires extra equipments, e.g. baseball bat, the system uses object detection to extract the keyjoints. Next, it calculates the pose similarity between two people. The developed system could help people know whether their posture is correct and which body parts could be improved.
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