基于图像识别和跟踪的下肢姿态识别方法

Qian-xiao Wei, Can-jun Yang, Qiaoling Chen, Xin Wu, Ping Jiang, Yan-hu Chen
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引用次数: 0

摘要

本文提出了一种方便、可靠、准确的实时下肢姿态识别方法,利用单目摄像机对目标进行识别和跟踪,绘制出一个周期内姿态运动曲线,建立下肢外骨骼可穿戴三维模型,对下肢步态进行分类,并利用惯性传感器的跟踪与优化三维运动测量系统对其可靠性进行验证。为建立下肢外骨骼恢复训练安全测试平台奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The identification method for the lower limb posture based on the identification and trace of image
This article suggests a kind of convenient, reliable and accurate method in real time for the identification of the low limb posture, use the monocular camera to identify and trace the target, draw a curve of attitude motion within one period, establish the wearable three dimensional model for the lower limb exoskeleton, classify the lower limb gait, and use the tracking and optitrack three-dimensional motion measurement system of the inertial sensor to verity the reliability, lay the foundation for the establishment of the safety testing platform for the recovery training of lower limb exoskeleton.
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