Computer Vision-Powered Applications for Interpreting and Interacting with Movement Movement and our ability to perceive it are core elements of the human experience. To bridge the gap between artificial intelligence research and the daily lives of people, this thesis explores leveraging advancements in the field of computer vision to enhance human experiences related to movement. Through two proj