Scalable Markerless Motion Capture: Building a Biomechanical Database for Data- Driven Coaching and Exercise Prescription

This project will use video cameras and computer vision to measure how people move during common exercises and golf swings. Instead of placing markers on the body in a lab, the system will estimate joint positions directly from regular video, making movement analysis cheaper and easier to use in real-world settings. The intern will record people performing different exercises, process the videos to calculate how their bodies move, and identify which movements are most effective or may increase injury risk. The partner organization, BIOVEKTR, will use these data to improve their “digital twin” models of the human body, helping them provide more accurate, personalized feedback about movement and exercise to users in fitness, sport, and health applications.

Faculty Supervisor:

Michael Holmes

Student:

Partner:

BIOVEKTR

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Brock University

Program:

Accelerate

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