Capture and Recognition of Bead Weaving Activities using Hand Skeletal Data and an LSTM Deep Neural Network
This project, lead by Rowland Goddy-Worlu, focused on using recurrent ML architectures (LSTM based) for classifying hand-gestures associated with bead-weaving.
