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作 者:郭梦利 杨龙飞 GUO Mengli;YANG Longfei(Innovation&Entrepreneurship Institute,Shangqiu Normal University,Shangqiu,China,476000)
机构地区:[1]商丘师范学院创新创业学院,河南商丘476000
出 处:《福建电脑》2025年第3期45-49,共5页Journal of Fujian Computer
摘 要:科学的康复训练已经成为康复治疗过程中必不可少的环节之一。为满足康复训练对动作准确性和安全性的要求,本文提出一种个性化评价反馈方法。首先将人体骨架数据进行预处理,实现数据的时空对齐,然后根据加权杰卡德相似系数得到个性化标签,最后对标签对应的身体部位提供可调节的运动反馈,实现对动作的个性化评价反馈。在公开数据集UI-PRMD上进行实验,结果表明该方法能自动量化动作质量,并能为改善人体运动提供个性化反馈。Scientific rehabilitation training has become an essential part of the rehabilitation treatment process.To meet the requirements of rehabilitation training for movement accuracy and safety,this paper proposes a personalized evaluation feedback method.Firstly,the human skeleton data is preprocessed to achieve spatiotemporal alignment of the data.Then,personalized labels are obtained based on weighted Jaccard similarity coefficients.Finally,adjustable motion feedback is provided to the corresponding body parts of the labels to achieve personalized evaluation feedback of actions.Experiments were conducted on the public dataset UI-PRMD,and the results showed that the method can automatically quantify action quality and provide personalized feedback for improving human motion.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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