Key point selection and clustering of swimmer coordination through Sparse Fisher-EM

John Komar; Romain Hérault; Ludovic Seifert

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arXiv · 1401.1489

Key point selection and clustering of swimmer coordination through Sparse Fisher-EM

John Komar·Romain Hérault·Ludovic Seifert

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Abstract

To answer the existence of optimal swimmer learning/teaching strategies, this work introduces a two-level clustering in order to analyze temporal dynamics of motor learning in breaststroke swimming. Each level have been performed through Sparse Fisher-EM, a unsupervised framework which can be applied efficiently on large and correlated datasets. The induced sparsity selects key points of the coordination phase without any prior knowledge.

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BibTeX RIS

John Komar, Romain Hérault, Ludovic Seifert. 2014-01-07. Key point selection and clustering of swimmer coordination through Sparse Fisher-EM. https://arxiv.org/abs/1401.1489

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