Abstract
The possibility of using artificial neural network for person gender classification based on kick force profile is investigated in this paper. The input data are transformed using discrete cosine transformation for easier classification. Extensive tuning is performed on the proposed artificial neural network to obtain better results. This preliminary study sums up foundations for future large-scale studies.
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Lapkova, D., Pluhacek, M., Komínková Oplatková, Z., Senkerik, R., Adamek, M. (2014). Application of Neural Networks for the Classification of Gender from Kick Force Profile – A Small Scale Study. In: Kömer, P., Abraham, A., Snášel, V. (eds) Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014. Advances in Intelligent Systems and Computing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-08156-4_43
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DOI: https://doi.org/10.1007/978-3-319-08156-4_43
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08155-7
Online ISBN: 978-3-319-08156-4
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