基于足底压力信号的步态识别

doi:10.3969/j.issn.1000-1158.2019.05.17

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摘要设计了一款基于足底压力传感器的足底测力系统,对压力传感器进行选型布局,设计信号调理电路,对采集到的压力信号进行放大及滤波处理,搭建硬件平台,设计信号采集界面;进行传感器标定实验以及足底测力系统实验,采集测试对象以不同步速进行平地行走以及楼梯行走时的足底压力信号;对采集到的足底压力信号进行比例运算,确定模糊集,设计隶属函数,以比例信号作为输入量进行模糊化处理,采用Larsen产品暗示法作为推理算子建立模糊规则推理,根据模糊输出信号识别出步态相位。

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	韩亚丽
	吴振宇
	徐泳龙
	张猛
	沈培

关键词 ：计量学, 足底测力系统, 压力传感器, 步态识别, 模糊理论

Abstract：A plantar force measurement system was designed based on the pressure sensor. Selecting the layout of the pressure sensor, designing the signal conditioning circuit to amplify and filter the collected pressure signal, the hardware platform was build and the signal acquisition interface was designed; The sensor calibration experiment and the foot force measurement system experiment were performed to collect the pressure signal when the object was walking at different speed at different statement; Taking the proportional calculation, determining fuzzy sets, designing membership functions, the fuzzy processing was carried out and the fuzzy rules was established by Larsen product Hint method, finally, the gait phase was inferred from the fuzzy output signal.

Key words： metrology plantar force measurement system pressure sensor gait recognition fuzzy theory

收稿日期: 2019-01-17 发布日期: 2019-09-01

PACS:

TB931

基金资助:国家自然科学基金(51205183); 江苏省六大人才高峰资助项目(JXQC-105); 挑战杯竞赛支撑项目(TZ20170030)

通讯作者: 吴振宇(1994-), 江苏如东人, 南京工程学院硕士生研究生, 研究方向为踝关节助力外骨骼。 Email:wuzhenyu660824@163.com E-mail: wuzhenyu660824@163.com

作者简介: 韩亚丽(1978-),河南驻马店人, 南京工程学院副教授, 主要从事仿生机器人及智能控制方面的研究。 Email:s966237@163.com

引用本文:

韩亚丽,吴振宇,徐泳龙,张猛,沈培. 基于足底压力信号的步态识别[J]. 计量学报, 2019, 40(5): 842-847.
HAN Ya-li,WU Zhen-yu,XU Yong-long,ZHANG Meng,SHEN Pei. Gait recognition based on plantar pressure signal. Acta Metrologica Sinica, 2019, 40(5): 842-847.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2019.05.17 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2019/V40/I5/842

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