Teaching Model of Swimming Skills Training Under the Background of Artificial Intelligence

Yujie Guo
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Yujie Guo: North China University of Technology, China

International Journal of Ambient Computing and Intelligence (IJACI), 2024, vol. 15, issue 1, 1-18

Abstract: Global swimming competitiveness, driven by enhanced training science, necessitates innovative strategies. High-level swimmers worldwide follow common principles, underscoring AI's potential in training enhancement. Software engineering education actively seeks to align talent development with industry needs, particularly via AI-driven creation of immersive training environments for students. Despite UWB's prominence among wireless positioning technologies and ongoing Chinese research, its application in sports arenas is yet limited. This paper presents a graphical representation of AI in swimming training, proposing a 20% accuracy boost and data visualization, enriching discussions on AI-assisted learning platforms in software engineering and athletics.

Date: 2024
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