Safety assurance mechanism of athletes in ice and snow sports based on edge computing Online publication date: Tue, 02-Jul-2024
by Di Wu; Yongqi Li
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 25, No. 1, 2024
Abstract: The development and application of information and communication technology is expected to reduce the fatality rate of sports-induced sudden death through remote monitoring of biological signals. This paper proposes an athlete safety assurance system based on edge computing suitable for ice and snow sports. By monitoring the physiological index information of athletes in real-time, and integrating random forest algorithm for data analysis and decision-making, it provides real-time analysis of athletes' status for coaches and logistics teams. To verify the effectiveness of the proposed system in this paper, the performance of the data processing module is evaluated using public datasets. Compared with the experimental results of related work, the method in this paper can effectively monitor the physiological index information of athletes and realise real-time grasp of the physical state of athletes. The method proposed in this paper can provide a guarantee for the safety of athletes.
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