Kerong Mou.  Research on Aerobics Training Posture Motion Capture Based on Mathematical Similarity Matching Statistical Analysis.  Dynamic Systems and Applications 29 (2020) No. 3, 895-906

https://doi.org/10.46719/dsa202029340

ABSTRACT.
Aiming at the freely editable characteristics of human motion posture, a human skeleton model is extracted, and a human motion posture model library is established. The application of motion capture system in dance training is analyzed, and a method based on similarity matching between feature planes is proposed to calculate each model. Parameters of motion data between parts. After verification, the method has high accuracy and robustness for the analysis of human poses, so that dancers can accurately compare the differences with standard dance movements, and provide theoretical support for dancers to perform scientific dance training.

Keywords: motion capture; free editing; skeleton model; feature plane; similarity matching; pose analysis; scientific training