Abstract
The application of artificial intelligence technology in the field of sports is becoming more and more matured. Because of this, the body load of athletes is getting heavier. In order to further understand the characteristics of acupoints and the mechanism of the influence of sports training on the acupoints of the human body, the research content of this article is the combination of artificial intelligence technology and sports training adapted to the analysis of the temperature characteristics of acupoints by infrared thermal imaging cameras. This article uses the characteristics of acupoint temperature and infrared thermal imaging camera to analyze the acupoint temperature. The results show that the average temperature of Neiguan and Xinshu points is higher, while the average temperature of acupoints is lower. The temperature of Xinyu is lower than that of Neiguan, but the temperature of acupuncture points is still higher than that of non-acupuncture points, and the high temperature of acupuncture points is very consistent in different acupoint regions. It can be seen that infrared thermal imaging technology can detect the thermal radiation generated by the human body through a unique imaging technology, and determine whether the distribution of the human body’s heat source is normal. Through the chromatographic technique from outside to inside to analyze the characteristics of human acupoint temperature.
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Acknowledgements
This work was supported by University-Industry Collaborative Education Program (NO.201902206043).
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Li, W. (2021). Athlete’s Temperature Characteristics Based on Artificial Intelligence Perspective Adapt to Infrared Thermal Image. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_81
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DOI: https://doi.org/10.1007/978-3-030-79200-8_81
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