A smart sniffing shoes based on embroidered sensor array

T. Seesaard, P. Lorwongtragool, Thirawut Nilpanapan, T. Kerdcharoen
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引用次数: 5

Abstract

A prototype of smart sniffing shoes with wireless data communication has been developed as a wearable medical instrument. This intelligent system can be divided into two major parts: (i) chemical gas sensor array installed inside the shoes for foot health monitoring and (ii) wireless data communication using ZigBee technology. The gas sensors for odor sensing were created by embroidering the sensing materials onto a fabric substrate then installed inside the tongue of shoes. Moreover, it was designed as a removable system, convenient for maintenance and cleansing. The embroidered sensor array has been tested with various single chemical components of volatile organic compounds (VOCs) with low concentration in a static system. It was found that these sensors could provide a good sensitivity and fast recovery even operated at the room temperature. For preliminary testing on an actual application, this wearable e-nose system was applied to monitor the foot odors, of which results have demonstrated that this system could distinguish foot odors in each duration time. Principal component analysis (PCA) was used to confirm the classification of individual foot health.
一种基于绣花传感器阵列的智能嗅探鞋
开发了一种具有无线数据通信功能的智能嗅探鞋原型,作为一种可穿戴医疗器械。该智能系统可分为两大部分:(i)安装在鞋内的化学气体传感器阵列,用于足部健康监测;(ii)采用ZigBee技术的无线数据通信。通过将传感材料绣在织物衬底上,然后安装在鞋舌内,可以制造出用于气味感应的气体传感器。此外,它被设计成一个可移动的系统,方便维护和清洁。刺绣传感器阵列在静态系统中对各种低浓度挥发性有机化合物(VOCs)的单一化学成分进行了测试。结果表明,即使在室温下工作,这些传感器也能提供良好的灵敏度和快速的恢复。为了在实际应用中进行初步测试,将该可穿戴电子鼻系统应用于脚臭监测,结果表明该系统可以在每个持续时间内区分脚臭。主成分分析(PCA)用于确定个体足部健康的分类。
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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