Self‐powered high‐resolution smart insole system for plantar pressure mapping
Qiuqun Zheng,
Xingyi Dai,
Yinghui Wu,
Qihua Liang,
Yongpeng Wu,
Jingkun Yang,
Biqin Dong,
Guojun Gao,
Qi Qin,
Long‐Biao Huang
Affiliations
Qiuqun Zheng
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Xingyi Dai
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Yinghui Wu
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Qihua Liang
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Yongpeng Wu
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Jingkun Yang
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Biqin Dong
College of Civil and Transportation Engineering Shenzhen University Shenzhen China
Guojun Gao
Institute of Microstructure Technology Karlsruhe Institute of Technology Karlsruhe Germany
Qi Qin
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Long‐Biao Huang
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen China
Abstract Accurate plantar pressure mapping systems with low dependence on the external power supply are highly desired for preventative healthcare and medical diagnosis. Herein, we propose a self‐powered smart insole system that can perform both static and dynamic plantar pressure mapping with high accuracy. The smart insole system integrates an insole‐shaped sensing unit, a multi‐channel data acquisition board, and a data storage module. The smart insole consists of a 44‐pixel sensor array based on triboelectric nanogenerators (TENGs) to transduce pressure to the electrical signal. By 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 time. Various gait and mobility patterns, such as standing, introversion/extraversion, throwing, and surpassing obstacles, can be distinguished by analyzing the acquired electrical signals. This work paves the way for self‐powered wearable devices for gait monitoring, which might enable a new modality of medical diagnosis.
