The carpet knows: Identifying people in a smart environment from a single step

Bo Zhou, Monit Shah Singh, Sugandha Doda, Muhammet Yildirim, Jingyuan Cheng, P. Lukowicz
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引用次数: 24

Abstract

In this paper, we present an approach for person identification using morphing footsteps measured from a fabric-based pressure mapping sensor system. The flexible fabric sensor is 0.5 mm thin and operates under a 5 mm thick normal carpet; therefore, it can be easily implemented into modern smart living spaces. We extract features concerning single steps with the shifting of gravity center, maximum pressure point and overall pressed area, which are independent from shape details and inter-step relationships of the walking sequences. The system is evaluated with 13 participants wearing shoes and walking normally across the carpet. Overall 529 footsteps are recorded, and the resulting average identification accuracy is 76.9%. Our approach can also be used for further activity recognition with the same physical carpet sensors.
地毯知道:在智能环境中一步就能识别人
在本文中,我们提出了一种使用基于织物的压力映射传感器系统测量的变形脚步声来识别人的方法。柔性织物传感器薄0.5毫米,可在5毫米厚的普通地毯下工作;因此,它可以很容易地实现到现代智能生活空间。我们提取了与行走序列的形状细节和步间关系无关的重心移动、最大压力点和整体受压面积的单步特征。该系统由13名参与者穿着鞋子正常行走在地毯上进行评估。总共记录了529个脚步,结果平均识别准确率为76.9%。我们的方法也可以用于使用相同的物理地毯传感器进行进一步的活动识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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