纺织工程学报2025，Vol.3Issue(3)：52-59,8.
基于人体脚部姿态感知的摩擦发电复合织物的多层结构设计
Multilayer structural design of friction-generating composite fabrics based on human foot posture sensing
摘要
Abstract
In order to realize the sensing of different postures of human feet and solve the problems of chronic ankle injuries and knee joint pressure caused by the wrong way of foot exertion during walking in some popula-tions,a friction-generating composite fabric with foot pressure sensing acquisition is prepared,and the compos-ite fabric with vertical contact-detachment working mode is tested under different applied pressures(50 N,100 N,250 N,and 500 N),and the voltage output performance of the composite fabrics in vertical contact-detach-ment mode of operation is also tested under different applied pressures(50 N,100 N,250 N and 500 N),differ-ent operating frequencies(0.5 Hz,1 Hz and 2 Hz),different motion states(walking,stepping and running),as well as under the condition of ultra-long operating time.The test results show that the voltage output of the fric-tion power generation composite fabric increases with the increase of applied pressure,and the peak open-cir-cuit voltages of the side device are 1 V,1.5 V,4 V and 8 V when the applied pressure is 50 N,100 N,250 N and 500 N,respectively;the peak open-circuit voltages of the forefoot device are 0.7 V,1 V,4.8 V and 10 V,respec-tively,and the peak open-circuit voltages of the forefoot device are 0.7 V,1 V,4.8 V and 10 V,respectively.Based on the voltage-pressure relationship,the experimental platform for plantar pressure measurement is con-structed,and the plantar pressure distribution data are obtained through the subjective loading experiment,which provides the experimental basis and theoretical support for the biomechanical design of functional insoles.关键词
脚步姿态/感知/复合织物/摩擦发电/结构Key words
foot posture/sensing/composite fabrics/friction power generation/structure分类
信息技术与安全科学引用本文复制引用
朱秋雨,周新祥,何玲娥,陈太明,张燕娜,周力,杜赵群,金光..基于人体脚部姿态感知的摩擦发电复合织物的多层结构设计[J].纺织工程学报,2025,3(3):52-59,8.基金项目
宁波市科学技术局重点研发计划暨揭榜挂帅项目(2023Z082),国家自然科学基金资助项目(52173218),上海市科技创新行动计划自然科学基金资助项目(22ZR1400500) （2023Z082）
