Application of Machine Learning in Air Hockey Interactive Control System.

Ching-Lung Chang1, Shuo-Tsung Chen2,3, Chuan-Yu Chang1

  • 1Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan.

Summary

This study integrates artificial intelligence (AI) and motor control for a real-time interactive air hockey system. Machine learning, specifically deep learning with YOLO, accurately predicts puck movement for enhanced gameplay.

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