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Found 2 papers, 1 papers with code
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches
In this paper, we introduce a badminton language to fully describe the process of the shot and propose a deep learning model composed of a novel short-term extractor and a long-term encoder for capturing a shot-by-shot sequence in a badminton rally by framing the problem as predicting a rally result.
CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis
For automatically and systematically competition data collection and tactical analysis, a project called CoachAI has been supported by the Ministry of Science and Technology, Taiwan.
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