Self-powered high-resolution smart insole system for plantar pressure mapping

作     者：Qiuqun Zheng Xingyi Dai Yinghui Wu Qihua Liang Yongpeng Wu Jingkun Yang Biqin Dong Guojun Gao Qi Qin Long-Biao Huang 

作者机构：Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhenChina College of Civil and Transportation EngineeringShenzhen UniversityShenzhenChina Institute of Microstructure TechnologyKarlsruhe Institute of TechnologyKarlsruheGermany 

出 版 物：《BMEMat(BioMedical Engineering Materials)》 (生物医学工程材料（英文）)

年 卷 期：2023年第1卷第1期

页      面：80-90页

学科分类：08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 

基　　金：Startup Funding from Local Government,Grant/Award Number:827/000544 National Natural Science Foundation of China,Grant/Award Number:51973119 Program of the China Postdoctoral Science Foundation,Grant/Award Number:2022M712160 Program of the National Natural Science Foundation of China,Grant/Award Number:52150009 Open Project of Key Lab of Special Functional Materials of Ministry of Education,Henan University,Grant/Award Number:KFKT-2022-10 High-Level University Construction Fund,Grant/Award Number:860-000002081205 Natural Science Foundation of Guangdong Province,Grant/Award Number:2019A1515011566 

主　　题：high-resolution pressure mapping self-powered sensors smart insoles wearable devices 

摘      要：Accurate plantar pressure mapping systems with low dependence on the external power supply are highly desired for preventative healthcare and medical ***,we propose a self-powered smart insole system that can perform both static and dynamic plantar pressure mapping with high *** smart insole system integrates an insole-shaped sensing unit,a multi-channel data acquisition board,and a data storage *** smart insole consists of a 44-pixel sensor array based on triboelectric nanogenerators(TENGs)to transduce pressure to the electrical *** optimizing the sensor architecture and the system s robustness,the smart insole achieves high sensitivity,good error-tolerance capability,excellent durability,and short response–recovery *** gait and mobility patterns,such as standing,introversion/extraversion,throwing,and surpassing obstacles,can be distin-guished by analyzing the acquired electrical *** work paves the way for self-powered wearable devices for gait monitoring,which might enable a new modality of medical diagnosis.