皮划艇运动关键角度检测与分析

Detection and Analysis of Critical Angles in Canoeing

该文应用人工智能技术,对皮划艇运动过程进行人体关键点识别和角度计算分析。从人工智能技术的现状、皮划艇运动智能应用业务流程、运动智能应用方式、皮划艇运动过程分析、皮划艇运动关键角度计算推导、人体关键点识别以及运动关键角度检测等多个方面,详细介绍了所提出的智能识别方法。计算结果显示,所提出的方法能够在所有关键时刻有效检测并计算出桨角和手臂关键角度,并在部分关键时刻检测到其他运动姿势角度。基于检测结果,对时间序列上多个周期的关键时刻桨角和手臂关键角度进行记录,可以进一步分析运动过程中角度的变化情况。未来,皮划艇运动员和教练可以使用该文所提出的方法进行智能训练分析并记录训练数据,供该领域科学训练与决策分析使用。

This paper applies artificial intelligence technology to recognize key body points and analyze angle calculation in the process of canoeing.The paper provides a detailed introduction of the proposed intelligent recognition method from many aspects such as the current situation of artificial intelligence technology,the business workflow of the intelligent application of canoeing,the intelligent application methods of canoeing,the process analysis of canoeing,the key angle calculation and derivation of canoeing,the recognition of key body points,and the detection of key angles in canoeing.Calculation results indicate that the proposed approach can effectively detect and calculate paddle angles and key arm angles at all critical moments and detect other motion pose angles at some critical moments.Based on detection results,recording paddle angles and critical arm angles at critical moments in multiple cycles in a time sequence can further analyze changes in angles during canoeing.In the future,canoeing athletes and coaches can use the proposed method in this paper to analyze intelligent training and record training data for scientific training and decision-making analysis in this field.