Machine learning-driven gait-assisted self-powered wearable sensing: a triboelectric nanogenerator-based advanced healthcare monitoring

Abstract

A self-powered TENG-based machine learning-driven insole wearable sensing system for gait-assisted healthcare is designed to classify flat foot conditions, identify users, and monitor rehabilitation and athletic exercises accurately.