Simulation Study of 24–Form Tai Chi Typical Movements Factors Based on Computer Analysis

DOI

10.2991/978-94-6463-242-2_67How to use a DOI?

Keywords

Computer analysis; AnyBody; Simulation

Abstract

Objective: In order to provide the scientific conduction of Tai Chi practitioners. Method: Taking the neuromuscular control of Tai Chi exercise as the starting point, by infrared capture system and Any Body human modeling simulation system, compared ability of professional group and preliminary group. Results: (1) Tai Chi practice is positive on balance, proprioception and neuromuscular control. (2) In professional group and preliminary group, the hip abduction angular velocity of Parting the wild horse’s mane, the ankle plantar flexion angle of Brush knee and twist step, the hip flexion angle of Grasp the bird’s tail, the knee flexion angular velocity of Single whip and the hip rotation angular velocity of Apparent close up were significantly different (P < 0.05). (3) The hip flexion moment of Parting the wild horse’s mane, the ankle plantar flexion moment of Flash the arm were significantly different (P < 0.05). (4) The musculi adductor magnus muscle strength of Parting the wild horse’s mane and Apparent close up, iliopsoas muscle strength of Brush knee and twist step, musculi obturator externus muscle strength of Grasp the bird’s tailwere significantly different (P < 0.05). Conclusions: (1) The exercise of Tai Chi intensity was moderate, there was a certain effect on the lateral balance. The practitioners adjust themselves and maintain body posture stable while maintaining the dynamic balance process. (2) Dynamic optimization problem drives muscle activation with human segmental motion and ground reaction force, optimizes the kinematic model parameters of joints, generates data to track dynamic optimization, and simulates the muscle excitation mode.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bo Pang
AU  - Ji Li
AU  - Huishan Song
AU  - Xuerong Qiao
PY  - 2023
DA  - 2023/09/22
TI  - Simulation Study of 24–Form Tai Chi Typical Movements Factors Based on Computer Analysis
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 544
EP  - 553
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_67
DO  - 10.2991/978-94-6463-242-2_67
ID  - Pang2023
ER  -