Reha@Home -一个基于视觉的无标记步态分析系统,用于家庭康复

Saravanakumar Natarajan, Xingchen Wang, M. Spranger, A. Gräser
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引用次数: 8

摘要

近年来,基于视觉的步态分析系统以其低成本、省时、无创等优点得到了广泛的应用。现有的步态分析系统要么价格昂贵,要么需要实验室或诊所等受控环境。Reha@Home系统是一种基于RGBD相机的廉价非侵入式无标记步态分析系统。该系统能够在典型的客厅环境中连续测量受试者的步态。基于人体比例比例,提出了一种从分割深度图像中计算下肢的新方法。从检测到的人体关节中自动提取关节角度和步态参数。该系统的性能是由电测仪获得的地面真值进行评估。临床评价表明,该系统可作为临床治疗师评估康复进展和确定治疗效果的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reha@Home - a vision based markerless gait analysis system for rehabilitation at home
Vision based gait analysis systems has gained a lot of importance in recent years due to its low cost, time efficient and non-invasive procedure. The existing gait analysis systems are either expensive or require controlled environments such as a laboratory or a clinic. Reha@Home system is an inexpensive and non-intrusive markerless gait analysis system based on a RGBD camera. The presented system is capable of measuring the subject's gait on a continuous basis in a typical living room environment. Based on the human body proportion ratios, a novel approach to compute the lower extremities from the segmented depth image is presented. The joint angles and the gait parameters are automatically extracted from the detected body joints. The performance of the system was evaluated with the ground truth values obtained from an electrogoniometer. The clinical evaluation shows that the system could be a useful tool for the therapists to assess the progress in rehabilitation and ascertain the therapy success.
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