Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis

• Autores: Qiuju Chen, Rayan Atteah Alsemmeari
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 2, 2022, págs. 203-216
• Idioma: inglés
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• Resumen

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