We will work with the gait video data to try to detect Multiple Sclerosis (MS) and Parkinson's disease. We will use deep learning classification tools on key-point features extracted via Open-Pose (https://github.com/CMU-Perceptual-Computing-Lab/openpose). The focus of the project will be to understand and optimize several PyTorch-based classification algorithms. See https://doi.org/10.1109/EMBC.2019.8857604 for related work.
Coding experience in Python required. Please mention any experience with PyTorch/deep learning in your application. Please also mention your github repo with python (if you have one) in your application.