EMG Hand Control

Project aims to map signals from Electromyograph (EMG) array on forearm to finger joint angles and visualize the results. Utilizes computer vision as ground truth and a regression neural network to determine joint angles. Uses customized XR hand feature in Unity 6 to visualize both ground truth and prediction