IEEE Trans Biomed Eng. 2013 Oct;60(10):2925-32. doi: 10.1109/TBME.2013.2266341. Epub 2013 Jun 5.
A system for capturing habitual, in-home gait measurements using an environmentally mounted depth camera, the Microsoft Kinect, is presented. Previous work evaluating the use of the Kinect sensor for in-home gait measurement in a lab setting has shown the potential of this approach. In this paper, a single Kinect sensor and computer were deployed in the apartments of older adults in an independent living facility for the purpose of continuous, in-home gait measurement. In addition, a monthly fall risk assessment protocol was conducted for each resident by a clinician, which included traditional tools such as the timed up a go and habitual gait speed tests. A probabilistic methodology for generating automated gait estimates over time for the residents of the apartments from the Kinect data is described, along with results from the apartments as compared to two of the traditionally measured fall risk assessment tools. Potential applications and future work are discussed.
介绍了一种使用环境安装的深度摄像机(Microsoft Kinect)来获取习惯性家庭步态测量的系统。以前的工作评估了 Kinect 传感器在实验室环境中用于家庭步态测量的潜力。在本文中,一个单独的 Kinect 传感器和计算机被部署在一个独立生活设施中的老年人的公寓中,用于连续的家庭步态测量。此外,临床医生每月为每位居民进行一次跌倒风险评估协议,其中包括传统工具,如计时上和习惯性步态速度测试。描述了一种从 Kinect 数据生成公寓居民随时间自动步态估计的概率方法,并将结果与传统的两种跌倒风险评估工具进行了比较。讨论了潜在的应用和未来的工作。