Golf Swing Correction Based on Deep Learning Body Posture Recognition

Gaoyue Sun
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引用次数: 2

Abstract

With the rapid development of society and economy, people pay more and more attention to sports. Among them, golf has become more and more popular in China. However, golf swings are highly refined and usually require to be instructed by professional coaches. Actually, the time and economic cost of finding coaches have caused some degree of inconvenience to fast-paced urbanites. And sometimes wrong actions are difficult to be detected with naked eyes. This problem can be effectively solved by applying computerized human body recognition technology to the correction of golf swing. Based on the existing visual solutions for human pose recognition. This paper proposed a method of key frame detecting in video streams, and proposed a posture restoration based on pseudo angular velocity for the error detection problem of the existing Openpose. By quickly detecting key frames in the video stream, not only key skeleton information can be quickly extracted for golf action comparison, but also the amount of calculation can be reduced.
基于深度学习身体姿势识别的高尔夫挥杆校正
随着社会经济的快速发展,人们越来越重视体育运动。其中,高尔夫球在中国越来越受欢迎。然而,高尔夫球的挥杆是非常精细的,通常需要专业教练的指导。事实上,找教练的时间和经济成本给快节奏的城市居民带来了一定程度的不便。有时错误的行为很难用肉眼发现。将计算机人体识别技术应用于高尔夫挥杆动作的校正,可以有效地解决这一问题。基于现有的人体姿态识别视觉解决方案。提出了一种视频流中的关键帧检测方法,针对现有Openpose的错误检测问题,提出了一种基于伪角速度的姿态恢复方法。通过快速检测视频流中的关键帧,不仅可以快速提取关键骨架信息,用于高尔夫动作对比,而且可以减少计算量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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