使用Leap运动相机监测手腕和手指的运动范围,用于物理康复

M. Kavian, A. Nadian-Ghomsheh
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引用次数: 5

摘要

近年来,基于计算机视觉的健康监测系统受到了广泛的关注,特别是在身体康复方面。提出了一种利用跳跃运动摄像机测量腕部和手指柔韧性的方法。采用跳跃运动获取手关节的三维位置。从获得的关节中,利用手部关节的时空特征,识别出旨在恢复手指和手腕活动范围的体育锻炼。然后,从识别的运动中选择适当的关节来测量目标运动范围。在此基础上,根据标准角度测量法验证了跳跃运动传感器对手腕和手指运动范围的精度。此外,为本研究创建的数据集已发布并公开供该领域的进一步研究使用。研究结果表明,跳跃运动在测量手腕和手指康复练习的运动范围方面显示出很好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring Wrist and Fingers Range of Motion using Leap Motion Camera for Physical Rehabilitation
Computer vision-based health monitoring systems have gained vast attention especially for physical rehabilitation in the past few years. This paper presents a method for measuring the flexibility of wrist and fingers using leap motion camera. Leap motion was incorporated to acquire the 3D position of hand joints. From the acquired joints, using spatial-temporal features of hand joints, physical exercises targeted at rehabilitating the fingers and wrist range of motion were recognized. Then, appropriate joints selected from the recognized exercises were applied to measure the target range of motion. Apart from the proposed method, the accuracy of leap motion sensor for wrist and fingers range of motion was verified against standard goniometry. Furthermore, the dataset created for this study is published and made publically available for further research in this field. Results of the study showed that leap motion shows promising results for measuring range of motion for several wrist and fingers rehabilitation exercises.
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