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What is Real-Time Analysis of Basketball Sports Data Based about?

This research article explores the application of deep learning for real-time analysis of basketball sports data, focusing on posture recognition and action classification through a two-part system. The proposed system utilizes bottom-up posture estimation and convolutional neural networks to enhance the accuracy of player performance analysis, thereby aiding coaches and athletes. The findings suggest that implementing deep learning can significantly improve data management and strategic decision-making in

Author

Aayush Bhure

Language

EN