An event-camera system with active gaze control and contrast-maximization spin estimation achieves real-time performance in table tennis with 8.8% magnitude error, 6.4° axis error, 3 ms latency, and 750 Hz throughput.
In: ACM SIGGRAPH 2004 Papers
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LLM outputs are meaningful according to standard theories of human language, without requiring anthropomorphic assumptions about the models.
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Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games
An event-camera system with active gaze control and contrast-maximization spin estimation achieves real-time performance in table tennis with 8.8% magnitude error, 6.4° axis error, 3 ms latency, and 750 Hz throughput.
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LLM outputs are meaningful according to standard theories of human language, without requiring anthropomorphic assumptions about the models.