Tehnički vjesnik, Vol. 31 No. 3, 2024.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20240123001285
Intelligent Sports Teaching Tracking System Based on Multimedia Data Analysis and Artificial Intelligence
Jiahui Xu
; College of Physical Education, Huaqiao University, Quanzhou, 362021, China
*
Dalu Qi
; Department of Physical Education, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China
Shuang Liu
; Information Office, Huaqiao University, Quanzhou, 362021, China
* Dopisni autor.
Sažetak
In recent years, the sports environment has realized the significance of physical and psychological features. The sports staffs, athletes, and coaches have shown that new theories and treatments are used to enhance psychology. The basic needs in the individuals' social life are urban public sports. Based on the equalized public services, this paper provides the urban facilities of equalizing public sports. National and consistent rules can provide urban public sports products and services, which are basic to citizens, considering their livelihoods and entertainment needs. In this paper, Semantic Multilevel Structural Equation Modeling (SMSEM) has proposed to assess the sport psychological demand for urban public sports services by artificial intelligence and multimedia data analysis. The goal is to concentrate closely on the demand for sports by the masses, which improves the quality and efficiency of the government's urban public sports service supply. It also promotes the construction of urban sports and leisure cities, allows more people to enjoy urban public sports and guarantees basic sports rights. The growth of positive psychology has a wide range of theories and application fields and enriches new sports psychology theory and application. The relationship between psychological monitoring and sports exercise is closest to the field of competitive sports. The systematic and specialized direction is moving in psychological guidance. In the future application, the results obtained from sports psychology are more applicable.
Ključne riječi
artificial intelligence; multimedia data analysis; semantic; sports psychological; urban public sports
Hrčak ID:
316380
URI
Datum izdavanja:
23.4.2024.
Posjeta: 784 *