Comparison of gesture in Thai boxing framework using angular dynamic time warping

Abstract

We developed an algorithm that compared the movements of a Thai boxing trainer and those of a trainee and produced a video clip that a trainer can use for training novice boxers in a training camp or that a trainee could use for self-training. In the developed system, a Microsoft Kinect sensor was used to capture 3D joint positions of the body of a trainer or trainee. A cosine similarity and an angular dynamic time warping were used to determine a similarity score between the postures or joint positions of the trainer and the trainee for static and dynamic poses respectively. Based on these similarity scores, suggestions to trainees on how to improve their boxing postures were overlaid on the recorded video clip, helping the trainee to improve his/her posture and movement. The proposed algorithm and developed framework could be easily used for other training such as yoga, dance, cardio workouts because the system allows to track and compare the whole body of users.