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Evaluating Taekwondo Moves - This system aims to recognize and evaluate 10 foundational taekwondo moves

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SriMed/sr_eval_tkd_v2

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Evaluating Taekwondo Moves

This system aims to recognize and evaluate 10 foundational taekwondo moves through the following modules based on Bianco & Tisato's 2013 article "Karate Moves Recognition from Skeletal Motion": Skeleton Representation, Pose Classification, and Temporal Alignment.

*Developed in the TJHSST Computer Systems Research Lab 2020-21

Skeleton Recognition

System extrapolate the 3D coordinates of joints in an athlete’s body from the 2D coordinates identified by Detectron for a given sample video through Facebook’s VideoPose3D model.

Pose Classification

System classifies categorizes a performed move (ex. A front kick has three parts: knee-up/chamber, extension, re-chamber) into one of the 10 techniques based on key poses identified through K-means and K-nearest neighbors.

Temporal Alignment & Scoring

System compares the performed sequence of poses to exemplar poses with Dynamic Time Warping and outputs a similarity score as the final evaluation.