| Issue |
ITM Web Conf.
Volume 82, 2026
International Conference on NextGen Engineering Technologies and Applications for Sustainable Development (ICNEXTS’25)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 4 | |
| Section | Information and Technology | |
| DOI | https://doi.org/10.1051/itmconf/20268203005 | |
| Published online | 04 February 2026 | |
Machine Learning Based Intelligent Insole for Gait Analysis
1 Department of ECE, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
2 Department of ECE, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
3 Department of ECE, St. Joseph’s Institute of Technology, Chennai, Tamil Nadu, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
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.
© The Authors, published by EDP Sciences, 2026
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