My research focuses on the development of efficient deep learning models for mobile computer vision applications in sport and human motion.
Interests
| Methods | Applications |
|---|---|
| Dynamic systems modeling | Human motor control |
| Multibody dynamics | Sports Engineering |
| Deep Learning | Action Recognition, Human Pose Estimation |
Research:
PhD Research
Currently working on developing lightweight deep learning models for mobile computer vision applications in sport and human motion.
MASc Research
Investigated the interaction between golfers and their equipment using a three-dimensional dynamic model of the golf swing. The model comprised four components, each representing a different physical aspect of the golf swing: (1) the biomechanics of the golfer, (2) the deformation of the golf shaft, (3) the impact between the clubhead and the ball, and (4) the ball flight. The four components were integrated symbolically to generate an efficient mathematical model of the golf swing. Using a custom global optimization routine combining genetic and search-based algorithms, various components of the model can be optimized by maximizing carry distance.
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