Research on Sports Training Mode Based on Artificial Intelligence

Against the backdrop of the continuous development of competitive sports and the widespread popularity of national fitness activities, traditional sports training methods often rely on coaches' personal experience to make decisions, which have problems of slow feedback and insufficient adaptability, making it difficult to meet the development needs of scientific training. Artificial intelligence technology provides critical support for upgrading training modes by combining machine learning, computer vision, and the Internet of Things. This article proposes a new sports training model based on artificial intelligence, which establishes a closed-loop structure consisting of data collection, intelligent analysis, and decision-making applications. It overcomes a series of technical challenges such as multimodal data fusion and small sample learning, effectively improves training efficiency, and helps reduce the risk of sports injuries for athletes.