Envisioning a Camera-Based Future for Remote Physical Therapy: A Technical Feasibility and Design Analysis

Author : Muskaan Jain

Abstract : The expansion of telehealth necessitates robust solu-tions for monitoring patient adherence and movement quality in remote rehabilitation settings. This paper explores the feasibility of implementing non-invasive, camera-based computer vision systems as a core component of tele-physiotherapy platforms. We present a comparative analysis of existing monitoring technolo-gies, arguing that vision-based systems offer unique advantages for direct, non-intrusive assessment of therapeutic exercises by replicating the clinician’s visual perspective. A proof-of-concept application for automated fall detection is detailed to demon-strate current technical capabilities. The discussion extends to critical design considerations for clinical deployment, including environmental setup, lighting, user training, and data integration for automated quality assessment. We conclude that while sig-nificant technical and practical hurdles remain, computer vision represents a promising pathway to enhance the fidelity, safety, and accessibility of remote physical therapy services.

Keywords : Tele-physiotherapy, Computer Vision, Remote Monitoring, Fall Detection, Rehabilitation Technology, Camera-Based Systems

Conference Name : International Conference on Tele-rehabilitation and Digital Physical Therapy Solutions (ICTDPTS-26)

Conference Place : Goa, India

Conference Date : 18th Apr 2026