In the past two years, the social concern about the physical health of college students has become higher and higher, and the status of contemporary college students in terms of physical skills or average physical fitness is not optimistic. Multiple data on college students' physique in the multimedia modeling of Health Cloud Biometrics and Data Management System also confirm that more and more college students' physical fitness is declining. Therefore, more and more colleges and universities began to study how to use the health cloud system of biometric authentication technology and data management system to do students ' personal physical quality data collection and multimedia modeling, and then establish a complete set of college students' physical fitness detection system based on correlation rule data mining and other technologies. This paper first analyzed the biometric authentication technology and data management system in health cloud system, and then the feasibility of the application of the technology and the correlation rule data mining algorithm in the physical fitness detection system of college students was demonstrated. Finally, relevant experiments were conducted to study the improvement of the physical exercise effect of college students before and after using the system, and it was concluded that the physical exercise efficiency of students who used the college students' physical health detection system increased by about 26%. The biometric authentication technology and data management system in the health cloud system complement the information collection and multimedia modeling functions in the physical exercise health detection system for college students.

Jian Li, Zhou Zhou. Physical Fitness Detection System for College Students Based on Correlation Rule Data Mining. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 4: 153-160. https://doi.org/10.25236/AJETS.2024.070422.

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