Artificial Intelligence for Movement Sciences

Catalog description

Apply AI technologies to the study of movement in healthy and diseased human populations. Utilize programming and data visualization while covering classical concepts of machine learning (e.g. linear regression and classification, ensemble-based algorithm, clustering, and neural networks) and modern machine learning methods for images and video processing (e.g. convolutional neural networks and transformers).