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Real-Time Stroke Prediction in Badminton Integrati by gay.par.rt23 is a document available to read on EtoBox.

What is Real-Time Stroke Prediction in Badminton Integrati about?

The paper presents a KNN-HMM model for real-time stroke prediction in badminton, achieving 97.5% accuracy with a latency of 32 ms. The model integrates spatial and temporal dynamics from a dataset of 10,000 motion-captured strokes, demonstrating improvements over traditional methods. While effective for regional applications, the model

Author

gay.par.rt23

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EN