A Review of Basketball Shooting Analysis Based on Artificial Intelligence

Abstract

Artificial Intelligence (AI) has promising applications in basketball shooting analysis, as it can help basketball athletes improve their shooting techniques and accuracy, thereby enhancing the effectiveness of both games and training sessions. This article provides a systematic review of the latest developments in AI-based basketball shooting analysis, covering four main research topics: Basketball Shooting Posture/Training Type Recognition, Analysis of Basketball Shooting Posture/Trajectory, Prediction/Analysis of Basketball Free Throw, and Intelligent Method of Correcting the Basketball Shooting Motion/Direction. From the perspective of AI methodology, this article elaborates on the application process of AI in basketball shooting research, including Data Collection and Preparation, Feature Engineering, Algorithm/Model Selection and Training, Dataset, and Evaluation Metric. Additionally, the advantages and limitations of AI technology in basketball shooting analysis are analyzed. Finally, this article presents future trends and research directions for AI in basketball shooting analysis, such as combining computer vision and biomechanics for analyzing the rationality of shooting actions, developing real-time AI systems adaptable to training and game scenarios, and constructing personalized shooting analysis and training systems. The aim of this article is to provide a comprehensive overview and discuss the current status of research and applications of AI in the field of basketball shooting. It holds significant theoretical significance and practical value for promoting the cross-development of AI and basketball sports, improving the level and popularity of basketball, and advancing the understanding and utilization of AI technology in sports.

Keywords

• Basketball shooting
• sports
• artificial intelligence
• computer vision
• machine learning
• artificial neural networks