摘要
深度学习技术作为机器学习领域的一个重要分支,已经被广泛应用于各个学科领域。“运动健康”是一个多学科交叉融合的研究领域,随着测量技术的发展和进步,所产生的数据量越来越大,为此部分学者将深度学习技术引入运动健康领域的研究中,取得了一系列的研究成果。针对人工智能方法在运动健康领域的应用进行了综述,系统总结了以人工神经网络为基础的人工智能方法以及机器学习相关方法在运动损伤的预测、人体异常行为的检测、竞技体育及运动健康预测等方面的应用,最后,分别从模型的泛化能力、新技术和人工智能新方法的应用等方面对运动健康领域未来的发展进行了展望。
Deep learning technology, as an important branch of machine learning, has been widely applied in various disciplinary fields. “Sports and health” are research fields that integrate multiple disci-plines. With the development and progress of measurement technology, the amount of data gener-ated is increasing. Therefore, some scholars have introduced deep learning technology into the field of sports and health and achieved a series of research results. This paper summarizes the applica-tion of artificial intelligence methods in the field of sports health, and systematically summarizes the application of artificial intelligence methods based on artificial neural network and machine learning related methods in sports injury prediction, detection of abnormal human behavior, com-petitive sports application and sports health prediction. Finally, the future development of sports health is prospected from the aspects of the generalization ability of the model, the application of new technologies and new methods of artificial intelligence.
出处
《应用数学进展》
2023年第7期3327-3337,共11页
Advances in Applied Mathematics
