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Gender recognition using artificial neural networks and data coming from force plates

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Innovations in Biomedical Engineering (IBE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 623 ))

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Abstract

The paper deals with a problem of automatic gender recognition based on parameters obtained from the force plates. The ground reaction force is recorded and some selected parameters of the curve are calculated. These parameters are used in this study as inputs to artificial neural network which should recognize if the individual is male or famale. The results of recognition are satisfactory and presented in the paper.

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Author information

Authors and Affiliations

  1. Institute of Applied Mechanics, Faculty of Mechanical Engineering and Management, Poznan University of Technology, Piotrowo 3, 60-965, Poznań, Poland

    Jakub Krzysztof Grabski, Tomasz Walczak, Martyna Michałowska & Magdalena Cieślak

Authors
  1. Jakub Krzysztof Grabski
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  2. Tomasz Walczak
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  3. Martyna Michałowska
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  4. Magdalena Cieślak
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Corresponding author

Correspondence to Jakub Krzysztof Grabski .

Editor information

Editors and Affiliations

  1. Department of Biomechatronics, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Marek Gzik

  2. Department of Biosensors and Biomedical Signals Processing, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Ewaryst Tkacz

  3. Department of Biomaterials and Medical Devices Engineering, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Zbigniew Paszenda

  4. Dept. of Informatics and Medical Equipment, Silesian University of Technology, Faculty of Biomedical Engineering, Zabrze, Poland

    Ewa Piętka

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Grabski, J.K., Walczak, T., Michałowska, M., Cieślak, M. (2018). Gender recognition using artificial neural networks and data coming from force plates. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering . IBE 2017. Advances in Intelligent Systems and Computing, vol 623 . Springer, Cham. https://doi.org/10.1007/978-3-319-70063-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-70063-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70062-5

  • Online ISBN: 978-3-319-70063-2

  • eBook Packages: EngineeringEngineering (R0)

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