Current Volume 9
Abstract
Effective neuro-rehabilitation relies on high- repetition, task-oriented exercises, yet traditional clinical interventions are often hindered by poor scalability and a reliance on expensive, specialized hardware that limits home use. To bridge this gap, we developed Smart Recovery, an AI-driven platform that utilizes standard web cameras and real-time pose estimation to provide high-fidelity kinematic tracking without the need for wearable sensors or VR headsets. Our validation within a simulated framework indicates that the system’s gamified biofeedback significantly enhances user motivation, maintaining a precise coordinate error margin of Edist = 3.12±0.45 pixels with engagement metrics reaching statistical significance (p < 0.001).
Keywords
Neuro-rehabilitation, Gamification, Motion Detection, AI-ML Integration, Computer Vision, Motor Analytics
Citations
IRE Journals:
Shubhangi Kashid, Shravani Kulkarni, Shwetal More, Toshi Jain, Dr. Shashank Joshi "Smart Recovery: A Markerless Computer Vision Platform for Gamified Neuro-Rehabilitation" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 4392-4399 https://doi.org/10.64388/IREV9I10-1715838
IEEE:
Shubhangi Kashid, Shravani Kulkarni, Shwetal More, Toshi Jain, Dr. Shashank Joshi
"Smart Recovery: A Markerless Computer Vision Platform for Gamified Neuro-Rehabilitation" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1715838
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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