Gait analysis is an important part of assessments for a variety of health conditions, specifically neurodegenerative diseases. Currently, most methods for gait assessment are based on manual scoring of certain tasks or restrictive technologies. We present an unobtrusive sensor system based on light detection and ranging sensor technology for use in home-like environments. In our evaluation, we compared six different gait parameters, based on recordings from 25 different people performing eight different walks each, resulting in 200 unique measurements. We compared the proposed sensor system against two state-of-the art technologies, a pressure mat and a set of inertial measurement unit sensors. In addition to test usability and long-term measurement, multi-hour recordings were conducted. Our evaluation showed very high correlation ($r>0.95$) with the gold standards across all assessed gait parameters except for cycle time ($r=0.91$). Similarly, the coefficient of determination was high ($R^2>0.9$) for all gait parameters except cycle time. The highest correlation was achieved for stride length and velocity ($r\ge 0.98,R^2\ge 0.95$). Furthermore, the multi-hour recordings did not show the systematic drift of measurements over time. Overall, the unobtrusive gait measurement system allows for contactless, highly accurate long- and short-term assessments of gait in home-like environments.

中文翻译：

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居家环境中的无接触步态评估

步态分析是评估各种健康状况，特别是神经退行性疾病的重要组成部分。目前，大多数步态评估方法都是基于某些任务或限制性技术的人工评分。我们提出了一种基于光检测和测距传感器技术的不显眼的传感器系统，用于类似家庭的环境。在我们的评估中，我们比较了六种不同的步态参数，这些参数基于 25 位不同的人各自进行八种不同步行的记录，从而产生了 200 次独特的测量结果。我们将提议的传感器系统与两种最先进的技术、压力垫和一组惯性测量单元传感器进行了比较。除了测试可用性和长期测量外，还进行了多小时的录音。我们的评估显示出非常高的相关性（$r>0.95$）除了周期时间外，所有评估的步态参数都采用黄金标准（$r=0.91$）。同样，决定系数也很高（${\mathrm{电阻}}^2>0.9$) 用于除循环时间以外的所有步态参数。步幅和速度的相关性最高（$r\ge 0.98,{\mathrm{电阻}}^2\ge 0.95$）。此外，多小时的记录没有显示测量值随时间的系统漂移。总的来说，不显眼的步态测量系统允许在类似家庭的环境中对步态进行非接触式、高精度的长期和短期评估。