Electrical Engineering Department, Dublin Institute of Technology, Dublin 6, Ireland.
IEEE Trans Neural Syst Rehabil Eng. 2010 Aug;18(4):453-60. doi: 10.1109/TNSRE.2010.2041792. Epub 2010 Feb 8.
This paper presents a new, user-friendly, portable motion capture and gait analysis system for capturing and analyzing human gait, designed as a telemedicine tool to monitor remotely the progress of patients through treatment. The system requires minimal user input and simple single-camera filming (which can be acquired from a basic webcam) making it very accessible to nontechnical, nonclinical personnel. This system can allow gait studies to acquire a much larger data set and allow trained gait analysts to focus their skills on the interpretation phase of gait analysis. The design uses a novel motion capture method derived from spatiotemporal segmentation and model-based tracking. Testing is performed on four monocular, sagittal-view, sample gait videos. Results of modeling, tracking, and analysis stages are presented with standard gait graphs and parameters compared to manually acquired data.
本文提出了一种新的、用户友好的、便携式运动捕捉和步态分析系统，用于捕捉和分析人体步态，设计为远程医疗工具，通过治疗远程监控患者的进展。该系统需要最少的用户输入和简单的单摄像机拍摄（可以从基本的网络摄像头获得），因此非常适合非技术、非临床人员使用。该系统可以让步态研究获得更大的数据集，并允许经过训练的步态分析师将他们的技能集中在步态分析的解释阶段。该设计使用一种新颖的运动捕捉方法，源自时空分割和基于模型的跟踪。在四个单目、矢状视图、样本步态视频上进行测试。呈现建模、跟踪和分析阶段的结果，并将标准步态图和参数与手动采集的数据进行比较。
