Jonathan Lin

Research Interests

Jonathan's research focuses on understanding and classifying the kinematics and dynamics of human motion, particularly applied to healthy and rehabilitation exercises. Human motion is difficult to analyze due to high intra- and inter-personal variability between healthy and rehabilitation participants, necessitating the need for algorithms specifically designed and tested for in-clinic applications.

His previous work during his MASc and PhD include the application of wearable sensors to determine body joint angles and estimation motion segmentation points using machine learning approaches. 

Projects

Current Projects

• Fatigue estimation using optimal control

Past Projects

• Motion pose estimation using extended Kalman filter
• Motion segmentation using hidden Markov model
• Motion segmentation using machine learning

Education

• BASc, University of Waterloo
• MASc, University of Waterloo
• PhD, University of Waterloo 

Links

For more information, please visit Jonathan's UW Scholar profile.