Modeling and analysis of jumps among elite figure skaters

Modeling and Analysis of Jumps Among Elite Figure Skaters This repository contains: 3A.mp4: An example video clip of a jump. 3A_skeleton_overlay.mp4: A skeleton overlay of the jump used to extract key points. data.csv: A CSV file containing data on 20 jumps (10 male, 10 female) performed during the 2022 Winter Olympics. The data includes the following columns: gender jump_type: The jump type as recorded by the judges (link to results) jump_revolutions: Number of revolutions in the jump. jump_rotations: Number of degrees of rotation in the jump. jump_classification: ISU abbreviation of the jump (T: Toe Loop, F: Flip, Lz: Lutz, S: Salchow, L: Loop, A: Axel). frames_in_air: Number of frames the athlete was in the air, based on a 30 FPS broadcast. time_in_air: Seconds the athlete was in the air. takeoff_leg: Last leg on the ice at the start of the jump. landing_leg: First leg to touch the ice upon landing. jump_rotations_in_air: Manually identified degrees of rotation performed in the air (from takeoff to landing). This data has been anonymized using k-anonymity, with k = 3.