Machine learning was used to analyze, label, and predict the movement of infants by processing videos of them interacting with the PANDA Gym. Comparing different angles of the camera determined how to best predict the movements. Future work will look at processing multiple angles together, evaluating the predictions with an object obscuring the view of the camera, and classifying the different types of movements occurring.