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Estimating walking speed, stride length, and stride time using a passive floor based electronic scavenging system

机译:使用基于无源底板的电子扫气系统估算步行速度,步幅和步幅

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We have developed a floor based personnel detection system to extract gait parameters including walking speed, stride length and stride time, we call it smart carpet. These parameters are validated with a GAITRite Electronic mat. The smart carpet is laid over the GAITRite mat, and subjects walked across the mat for 9 trials each. The data acquisition system of the smart carpet recorded the location of the active sensors, which were later used to extract the gait parameters. An excellent agreement for walking speed, stride length and stride time between the two systems is achieved. The mean percentage error difference for walking speed is 1.43%, stride length is -4.32% and stride time is -5.73%. For walking speed, the standard deviation is 4.39, which emphasizes that 68% of the error is within a 5%. We compared our work to the work done by a research group who used a vision based Kinect and web cameras system with excellent agreement.
机译:我们已经开发了一种基于地板的人员检测系统,以提取步态参数,包括步行速度,步幅和步幅,我们称其为智能地毯。这些参数已通过GAITRite电子垫进行了验证。智能地毯铺在GAITRite垫子上,受试者走过垫子,每人进行9次试验。智能地毯的数据采集系统记录了有源传感器的位置,这些传感器随后被用于提取步态参数。达到了两个系统之间的步行速度,步幅长度和步幅时间的极佳协议。步行速度的平均百分比误差差异为1.43%,步幅为-4.32%,步幅时间为-5.73%。对于步行速度,标准偏差为4.39,这强调了68%的误差在5%以内。我们将我们的工作与一个研究小组所做的工作进行了比较,该研究小组使用了基于视觉的Kinect和网络摄像头系统,并且达成了一致。

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