Abstract
We present a sport skill data analysis with time series image data retrieved from motion pictures, focused on table tennis. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills.
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Maeda, T., Fujii, M., Hayashi, I. (2014). Time Series Image Data Analysis for Sport Skill. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_18
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DOI: https://doi.org/10.1007/978-3-319-03674-8_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03673-1
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