Simon Tam graduated from the B. Eng. degree in Electrical Engineering from Laval University, Québec, Canada, in 2018. Currently pursuing a M. Sc. degree at Laval University in the Biomedical Microsystems Lab with professor Benoit Gosselin, his main research interests include smart bio sensors & electronic systems, myoelectric control and artificial intelligence/deep learning.
Project : Myoelectric Hand Prosthesis System with Intuitive Control Leveraging HD-EMG Sensing and Deep Learning
This project aims to develop a complete myoelectric hand prosthesis system that improves the intuitiveness, flexibility and ease-of-use currently offered in state-of-the-art solutions. The control system is based on a custom HD-EMG sensor providing muscle activation maps to a convolutional neural network performing fine hand gesture recognition from the user’s forearm. The envisioned system is completely integrated on an embedded module processing the EMG signals and computing the neural network inferences in real-time for seamless prosthesis control.