Design and performance testing of smart insoles

Abstract Smart insoles enable real-time monitoring of physiological parameters and offer feedback on the health status. This study introduces a foot-monitoring smart insole system that uses flexible sensors and inertial sensor technologies to measure the pressure distribution and foot motion data in five plantar areas. This study involved material selection, structural design, insole fabrication, hardware design, and data analysis. The system prototype underwent thorough performance validation tests, including sensitivity (3.63 mV N −1 ), linearity error (2.09%), hysteresis error (3.37%), accuracy error (4.6%), repeatability error (5.49%), and response time (3.05 ms). Moreover, to evaluate its applicability in real-world motion monitoring, the system was tested to distinguish between different movement patterns, such as walking, jumping, and running. The results demonstrate the stability and accuracy of the system across all metrics. This technology will significantly impact sports medicine, rehabilitation therapy, and performance optimization.

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Publication Details

Journal
Measurement Science and Technology
Published
2025-03-27
DOI
https://doi.org/10.1088/1361-6501/adc61c
Citations
1
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
1.14
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article

Design and performance testing of smart insoles

Hong‐chen Wang, Yong Wang, Jinwei Xu, Xue Liu et al.
1 citations
Measurement Science and Technology
Experimental Learning in Engineering
1.14
article

Design and performance testing of smart insoles

Hong‐chen Wang, Yong Wang, Jinwei Xu, Xue Liu, Y. Yuan, Jingsong Mu
article en
1 citations

Abstract

Abstract Smart insoles enable real-time monitoring of physiological parameters and offer feedback on the health status. This study introduces a foot-monitoring smart insole system that uses flexible sensors and inertial sensor technologies to measure the pressure distribution and foot motion data in five plantar areas. This study involved material selection, structural design, insole fabrication, hardware design, and data analysis. The system prototype underwent thorough performance validation tests, including sensitivity (3.63 mV N −1 ), linearity error (2.09%), hysteresis error (3.37%), accuracy error (4.6%), repeatability error (5.49%), and response time (3.05 ms). Moreover, to evaluate its applicability in real-world motion monitoring, the system was tested to distinguish between different movement patterns, such as walking, jumping, and running. The results demonstrate the stability and accuracy of the system across all metrics. This technology will significantly impact sports medicine, rehabilitation therapy, and performance optimization.

Measurement Science and TechnologyVol. 36(4)
Hefei University of Technology (CN), Anhui Provincial Hospital (CN)
Openalex Percentile: Top 22%
Experimental Learning in Engineering
1.14
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Design and performance testing of smart insoles — Hong‐chen Wang, Yong Wang, et al. · Measurement Science and Technology (2025) | TGRS Research Map | TGRS