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International Journal of Big Data Intelligent Technology, 2021, 2(4); doi: 10.38007/IJBDIT.2021.020402.

Physical Health Monitoring System Based on Artificial Intelligence


Li Qin and Kai Wang

Corresponding Author:
Li Qin

Nanchang Institute of Science and Technology, Nanchang 330108, China


The benefits and risk perception of physical health knowledge can improve the health value expectation of individuals, and have a positive impact on their beliefs, motivations and attitudes, so as to promote their participation in physical activities. Based on the role and value of artificial intelligence monitoring model and physical health knowledge in the above theoretical model of physical activity promotion, this paper holds that among the antecedents of artificial intelligence monitoring model, knowledge is the basic condition for attitude and belief generation, because physical health knowledge education not only enables teenagers to understand the benefits of physical activity to health, but also helps them to improve their health, they will also be able to reasonably arrange physical activities according to their own situation, and how to adjust and modify the artificial intelligence physique monitoring combined with practice. Research shows that human behavior originates from the imperceptible cognitive process, which can deepen the learning and understanding of physical health through evaluation. Physical health can improve the ability to perform and expect behavior, and the results of artificial intelligence analysis expect that the correlation degree between personal belief and behavior can reach more than 86%. Adolescents learn the benefits and risk perception of physical activity through physical health education, and increase the intention of physical activity by increasing the expectation of results. The impact on individual behavior is 69% higher. When the profile of individual self-determination changes (or individual self motivation works), the change of behavior is an expected result.


Artificial Intelligence, Physical Health Monitoring, Health Prediction Expectation, Students Exercise Behavior

Cite This Paper

Li Qin, Kai Wang. Physical Health Monitoring System Based on Artificial Intelligence. International Journal of Big Data Intelligent Technology (2021), Vol. 2, Issue 4: 9-16. https://doi.org/10.38007/IJBDIT.2021.020402.


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