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Real-time pressure mapping smart insole system based on a controllable vertical pore dielectric layer
Juan Tao1,2, Ming Dong3, Li Li1
1CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083 Beijing, People's Republic of China.
Microsystems & Nanoengineering
|September 27, 2021
Summary
This study presents a smart insole with 24 capacitive pressure sensors for real-time plantar pressure monitoring. The system enables accurate pressure mapping for health surveillance, injury prevention, and athletic training.
Area of Science:
- Biomedical Engineering
- Materials Science
- Sensor Technology
Background:
- Real-time plantar pressure monitoring is crucial for wearable biosensors, sports injury detection, and early diagnostics.
- Existing methods may lack the integration and real-time capabilities required for comprehensive analysis.
Purpose of the Study:
- To develop and validate an all-in-one smart insole system for real-time plantar pressure monitoring.
- To assess the system's capability in distinguishing postures and recognizing gait variations.
Main Methods:
- Fabrication of an insole with 24 capacitive pressure sensors (CPSs) using laser cutting and an elastic dielectric layer with vertical pores.
- Optimization of CPSs for linearity and sensitivity within a 0-200 kPa range.
- Establishment of a smart system integrating the insole, wireless data acquisition, and PC terminal for real-time data processing.
Main Results:
- Optimized CPSs exhibited good linearity and a sensitivity of 12 × 10-3 kPa-1 over a 0-200 kPa range.
- The smart insole system successfully performed static and dynamic plantar pressure mapping.
- The system could distinguish various standing and yoga postures and recognize center-of-gravity variations during walking.
Conclusions:
- The developed intelligent insole system offers a feasible solution for real-time plantar pressure monitoring.
- This technology has significant potential for health surveillance, injury prevention, and athlete training applications.

