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Evaluation of an inexpensive depth camera for in-home gait assessment

机译：评估用于家庭步态评估的廉价深度相机

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摘要

An investigation of a new, inexpensive depth camera device, the Microsoft Kinect, for passive gait assessment in home environments is presented. In order to allow older adults to safely continue living in independent settings as they age, the ability to assess their risk of falling, along with detecting the early onset of illness and functional decline, is essential. Daily measurements of temporal and spatial gait parameters would greatly facilitate such an assessment. Ideally, these measurements would be obtained passively, in normal daily activity, without the need for wearable devices or expensive equipment. In this work, the use of the inexpensive Microsoft Kinect for obtaining measurements of temporal and spatial gait parameters is evaluated against an existing web-camera based system, along with a Vicon marker-based motion capture system for ground truth. Techniques for extracting gait parameters from the Kinect data are described, as well as the potential advantages of the Kinect over the web-camera system for passive, in-home gait assessment.
机译：本文介绍了一种用于家庭环境中被动步态评估的新型廉价廉价深度相机设备Microsoft Kinect。为了使老年人能够随着年龄的增长安全地继续在独立的环境中生活，评估跌倒风险以及检测疾病的早期发作和功能下降的能力至关重要。时空步态参数的每日测量将极大地促进这种评估。理想情况下，这些测量将在正常的日常活动中被动获得，而无需穿戴式设备或昂贵的设备。在这项工作中，针对现有的基于网络摄像头的系统以及基于地面视场的基于Vicon标记的运动捕捉系统，评估了使用廉价的Microsoft Kinect获取时间和空间步态参数的测量结果的方法。描述了从Kinect数据中提取步态参数的技术，以及Kinect相对于网络摄像头系统进行被动式在家步态评估的潜在优势。

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