Validation of a novel markerless motion tracking system for telerehabilitation

Physical therapy is a major modality in the treatment of patients with chronic musculoskeletal and neurological pain; however, current virtual reality (VR)-based solutions are unable to precisely capture full body motion leading to motion sickness and VR game design challenges. In this proposal, we aim to validate the accuracy of the AReve Health motion capture software, powered by the LightBuzz SDK, during (1) upper-body (shoulder abduction) and (2) lower-body (squat) exercises using the cameras of an iPad Pro against a gold-standard optical motion capture system. We hypothesize that the range of motion and joint angle values between the two systems will be similar. The project is expected to contribute to earlier detection of health and injury risks, promote preventive care strategies, and support individualized rehabilitation, thereby improving overall quality of life and reducing long-term healthcare costs. Also, the project will strengthen the partner organization’s competitive position within the expanding wearable health technology market. Collectively, the outcomes of this project will drive technological innovation, foster public health advancements, and support sustainable economic development for the partner organizations.

Faculty Supervisor:

Philippe Dixon

Student:

Partner:

ARève Health;LightBuzz

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

McGill University

Program: