Action Recognition of Taekwondo Unit Actions Using Action Images Constructed with Time-Warped Motion Profiles
Junghwan Lim,
Chenglong Luo,
Seunghun Lee
et al.
Abstract:Taekwondo has evolved from a traditional martial art into an official Olympic sport. This study introduces a novel action recognition model tailored for Taekwondo unit actions, utilizing joint-motion data acquired via wearable inertial measurement unit (IMU) sensors. The utilization of IMU sensor-measured motion data facilitates the capture of the intricate and rapid movements characteristic of Taekwondo techniques. The model, underpinned by a conventional convolutional neural network (CNN)-based image classif… Show more
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