What question did this study set out to answer?

The aim is to develop an intelligent insole that monitors gait and generates electricity.

February 9, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Machine Learning Based Intelligent Insole for Gait Analysis

SEShinie kiruba E SGSaajini G STS. Tephillah

Key Points

The aim is to develop an intelligent insole that monitors gait and generates electricity.
Developed a prototype using machine learning algorithms for gait analysis.
Incorporated pressure sensors and accelerometers for real-time data collection.
Utilized piezoelectric materials to generate electricity from walking.
The insole effectively monitors walking patterns, revealing potential indicators of neurological conditions.
It produces sufficient energy to run its own systems, enhancing sustainability.

Abstract

This research introduces a machine learning based approach that not only monitors the walking pattern but also generates electricity from walking .Subtle changes in the walking pattern may indicate neurological conditions, recovery progress after injury etc. Traditional gait analysis are subjected to hospital visits where the patients rely on expensive lab equipments. Equipped with pressure sensors, accelerometers and piezoelectric materials the insole collects data through real time gait monitoring while producing enough power to support its own operation. Thus through the combination of self-sustainability and gait analysis, this system has the potential to make healthcare monitoring more accessible and effective.

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