This work presents a non-intrusive, wearable system for continuous gait monitoring designed to overcome the limitations of clinical-based assessment. The device consists of insoles embedding force-sensitive resistive sensors at key plantar locations, connected to a microcontroller to process data in real-time and transmit gait metrics wirelessly to user devices. Each insole incorporates three pressure sensors positioned at the heel and metatarsal heads to capture temporal dynamics and bilateral asymmetries. Real-time algorithms detect heel strikes and compute cadence, contact time, and symmetry indices while providing intuitive color-coded feedback through a web-based interface. Validation with six healthy adults demonstrated robust performance with 98.5% bilateral step detection agreement, average cadence of 112 steps/minute consistent with average values, and successful detection of induced gait asymmetries within 3–5 gait cycles. This non-intrusive solution enables prolonged home-based monitoring of gait quality, supporting rehabilitation programs and early detection of walking abnormalities outside traditional clinical settings.

Wearable Instrumented Insoles for Continuous Gait Monitoring for Daily-Life Rehabilitation Support

Comai, Sara;Salice, Fabio
2026-01-01

Abstract

This work presents a non-intrusive, wearable system for continuous gait monitoring designed to overcome the limitations of clinical-based assessment. The device consists of insoles embedding force-sensitive resistive sensors at key plantar locations, connected to a microcontroller to process data in real-time and transmit gait metrics wirelessly to user devices. Each insole incorporates three pressure sensors positioned at the heel and metatarsal heads to capture temporal dynamics and bilateral asymmetries. Real-time algorithms detect heel strikes and compute cadence, contact time, and symmetry indices while providing intuitive color-coded feedback through a web-based interface. Validation with six healthy adults demonstrated robust performance with 98.5% bilateral step detection agreement, average cadence of 112 steps/minute consistent with average values, and successful detection of induced gait asymmetries within 3–5 gait cycles. This non-intrusive solution enables prolonged home-based monitoring of gait quality, supporting rehabilitation programs and early detection of walking abnormalities outside traditional clinical settings.
2026
Computers Helping People with Special Needs. ICCHP 2026
9783032312846
9783032312853
Gait Analysis
Wearable Sensing
Pressure Sensors
Instrumented Insoles
Real-time Monitoring
Home-based rehabilitation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1320645
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