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.
- Motion pose estimation using extended Kalman filter
- Motion segmentation using hidden Markov model
- Motion segmentation using machine learning
- BASc, University of Waterloo
- MASc, University of Waterloo
- PhD, University of Waterloo
For more information, please visit Jonathan's UW Scholar profile.