A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing

Wearable insole-based pressure sensor systems have gained attention for continuous gait monitoring, showing potential for preventing, diagnosing, and treating conditions such as lumbar degenerative disease and diabetic foot ulcers. However, challenges such as nonlinear response, low stability, and energy limitations have hindered widespread adoption. Here, we report a fully integrated, self-powered, wireless smart insole designed for plantar pressure monitoring and real-time visualization and analysis of gait. The pressure sensor uses a nonlinear synergistic strategy, achieving remarkable linearity (<i>R</i><sup>2</sup> > 0.999 over 0 to 225 kilopascals) and high durability (>180,000 compression cycles). Powered by flexible solar cells, the insole features 22 pressure sensors, enabling spatially resolved pressure mapping and real-time visualization on a smartphone interface. Integration of a support vector machine model further enables accurate recognition of eight motion states, including static (e.g., sitting and standing) and dynamic (e.g., walking, running, and squatting) activities. The smart insole provides a practical solution for improving clinical assessments, personalized treatments, and biomechanics research.

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Publication Details

Journal
Science Advances
Published
2025-04-16
DOI
https://doi.org/10.1126/sciadv.adu1598
Citations
60
Primary Topic
Diabetic Foot Ulcer Assessment and Management
Type
article
Field-Weighted Citation Impact
77.70
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article

A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing

Chenhui Guo, Y. Mao, Hongwei Sheng, Mingjiao Shao et al.
60 citations
Science Advances
Diabetic Foot Ulcer Assessment and Management
77.70
article

A wireless, self-powered smart insole for gait monitoring and recognition via nonlinear synergistic pressure sensing

Chenhui Guo, Y. Mao, Hongwei Sheng, Mingjiao Shao, Zhiwen Jin, Huasheng Bi, Chen Wang, Jinghua Li, Hui Guan, Jiao Yuan, Qi Wang, Pouwan Lei, Wei Lan, Jinkun Hu
article en
60 citations

Abstract

Wearable insole-based pressure sensor systems have gained attention for continuous gait monitoring, showing potential for preventing, diagnosing, and treating conditions such as lumbar degenerative disease and diabetic foot ulcers. However, challenges such as nonlinear response, low stability, and energy limitations have hindered widespread adoption. Here, we report a fully integrated, self-powered, wireless smart insole designed for plantar pressure monitoring and real-time visualization and analysis of gait. The pressure sensor uses a nonlinear synergistic strategy, achieving remarkable linearity (<i>R</i><sup>2</sup> > 0.999 over 0 to 225 kilopascals) and high durability (>180,000 compression cycles). Powered by flexible solar cells, the insole features 22 pressure sensors, enabling spatially resolved pressure mapping and real-time visualization on a smartphone interface. Integration of a support vector machine model further enables accurate recognition of eight motion states, including static (e.g., sitting and standing) and dynamic (e.g., walking, running, and squatting) activities. The smart insole provides a practical solution for improving clinical assessments, personalized treatments, and biomechanics research.

Science AdvancesVol. 11(16)
The Ohio State University (US), Lanzhou University (CN)
Affordable and clean energy
Openalex Percentile: Top 0%
Diabetic Foot Ulcer Assessment and Management
77.70
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