Smart Recovery: A Markerless Computer Vision Platform for Gamified Neuro-Rehabilitation

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@article{1715838,
      author = {Shubhangi Kashid, Shravani Kulkarni, Shwetal More, Toshi Jain, Dr. Shashank Joshi},
      title = {Smart Recovery: A Markerless Computer Vision Platform for Gamified Neuro-Rehabilitation},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {10},
      pages = {4392-4399},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715838.pdf},
      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},
      month = {April},
      doi = {https://doi.org/10.64388/IREV9I10-1715838}
  }