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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.
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.
Failed At:
2026-06-19T13:38:50.233145+00:00
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