Dylan Kobsar

Overview

Dylan Kobsar’s research is aimed at making biomechanics and human movement analyses more accessible and real-world relevant. Specifically, this work focuses on the use of wearable inertial sensors to help track and treat musculoskeletal disorders or injuries. When we think of wearable sensors, we often think of fitness tracking watches, but in fact wearable sensors have the capabilities to collect a variety of detailed human movement data similar to conventional motion capture gait laboratories. Further, when we combine these devices with innovative analyses (e.g., machine learning algorithms) and visualization techniques, a whole new world of possibilities for assessing human movement is realized. To this point, his research has used these accessible devices and innovative techniques to uncover patterns in human movement that can help us better understand the progression and treatment of individuals with knee osteoarthritis and running injuries.

Affiliations

• Assistant Professor
• Faculty of Science, McMaster University
• Associate Member, Biomedical Engineering, Faculty of Engineering
• Assistant Professor, Kinesiology, Faculty of Science

Education

• BSc, University of Regina
• MSc, University of Regina
• PhD, University of Calgary
• Postdoc, University of Calgary
• Postdoc, University of British Columbia