Kevin’s research focuses on understanding and classifying the kinematics and dynamics of human motion, particularly in relation to dynamic athletic movements. By analyzing goal-oriented, objectively rated human movement (such as throwing an object at a target), it is theorized that the “success” of the movement can be classified/predicted based on the observed motion variance data. The goal of the research is to find key motion and variance elements of a dynamic movement that most strongly influence the success of the movement.
Kevin’s research explores pose estimation using motion capture and IMU measurements, dynamic modeling of the human body, classification methods and optimal control methods.
Lie Group Pose Estimation
- BASc, University of Waterloo