Education, Science, Technology, Innovation and Life
Open Access
Sign In

Construction and analysis of dynamic model of discrete system of physical education teaching based on multi criteria side decision algorithm

Download as PDF

DOI: 10.23977/acss.2024.080111 | Downloads: 8 | Views: 140

Author(s)

Wei Han 1

Affiliation(s)

1 Shanxi Vocational & Technical College of Finance & Trade, Taiyuan, Shanxi, 030000, China

Corresponding Author

Wei Han

ABSTRACT

Based on the integrated application of intelligent wearable devices, this research obtains multi-dimensional real-time data in the movement process, obtains the human skeleton point data based on Openpose and carries out standardization preprocessing, extracts different posture features of the human body in combination with the geometric features of the skeleton space, and proposes an improved multi criteria decision tree intelligent algorithm theory of motion model and health evaluation system. On this basis, the statistical analysis and advantage comparison of multivariable motion data are carried out. Finally, the evaluation system of sports basic movement teaching based on multi criteria side optimization decision-making algorithm is established, and the functional design of each module is introduced. The research found that boys' upper limb strength and girls' cardiopulmonary endurance are the most important basic physical qualities that affect students' performance. The influence of lower extremity explosive force and cardiopulmonary function on boys' performance is only lower than that of upper extremity strength. The effect of girls' lower limb fast running ability on their performance is only inferior to that of their cardiopulmonary function; While increasing the strength of upper and lower limbs, boys can significantly improve the passing rate by properly improving cardiopulmonary endurance training. Proper improvement of girls' fast running ability and their cardiopulmonary endurance can significantly improve the passing rate of girls. And the motion intelligent recognition system in this study can overcome the self-occlusion of joint points when observing actions from a fixed perspective in a single perspective dataset. 

KEYWORDS

Multi criteria decision algorithm; Dynamic model; Data set; Dynamic identification; Optimization analysis

CITE THIS PAPER

Wei Han, Construction and analysis of dynamic model of discrete system of physical education teaching based on multi criteria side decision algorithm. Advances in Computer, Signals and Systems (2024) Vol. 8: 96-106. DOI: http://dx.doi.org/10.23977/acss.2024.080111.

REFERENCES

[1] Mehrabian A, Ferris S R. Inference of attitudes from nonverbal communication in two channels[J]. Journal of Consulting Psychology, vol. 31, no. 3, pp. 248-252, 1967. 
[2] B. Zhang, K. Ling, P. Zhang, Z. Zhang and M. Zhong, Algorithms to calculate the most reliable maximum flow in content delivery network [J]. Computer Systems Science and Engineering, vol. 41, no. 2, pp. 699–715, 2022. 
[3] Felzenszwalb P, Huttenlocher D. Pictorial Structures for Object Recognition [J]. International Journal of Computer Vision, vol. 61, no. 1, pp. 55-79, 2005. 
[4] Boubou S, Suzuki E. Classifying actions based on histogram of oriented velocity vectors[J]. Journal of Intelligent Information Systems, vol. 44, no. 1, pp. 49-65, 2015. 
[5] Switonski A, Krzeszowski T, Josinski H, et al. Gait Recognition on the Basis of Marker-less Motion Tracking and DTW Transform[J]. IET Biometrics, vol. 7, no. 5, pp. 415-422, 2018. 
[6] Liu M Y, Liu H, Chen C. Enhanced skeleton visualization for view invariant human action recognition [J]. Pattern Recognition, no. 68, pp. 346-362, 2017. 
[7] Mao J, Zhang M, Chen M, et al. Semisupervised Encrypted Traffic Identification Based on Auxiliary Classification Generative Adversarial Network [J]. International journal of computer systems science & engineering, vol. 39, no. 3, pp. 373-390, 2021.

Downloads: 13494
Visits: 258747

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.