Feasibility of markerless motion capture for yoga

Motion capture technology that uses markers attached to the body and specialized cameras has been used for research on human motion, but has been limited to laboratories with expert users. New markerless motion capture technology removes these limitations by using standard video cameras and advanced artificial intelligence algorithms, allowing us to measure motion in real-life environments and of multiple people simultaneously. The study of yoga movements, which has had limited research to date, despite promising benefits to health and rehabilitation, is one application that may benefit from this new technology. The objective of this project is to determine the feasibility of markerless motion to capture biomechanical variables during yoga across different settings. The industry partner is motivated to understand the potential for future application of this technology for testing products and services related to yoga.

Faculty Supervisor:

Kevin Deluzio

Student:

Partner:

Lululemon

Discipline:

Engineering

Sector:

Manufacturing; Retail trade

University:

Queen's University

Program: