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

Jakub Krzysztof Grabski; Tomasz Walczak; Martyna Michałowska; Magdalena Cieślak

doi:10.1007/978-3-319-70063-2_6

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Title

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

Authors

Jakub Krzysztof Grabski (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Tomasz Walczak (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Martyna Michałowska (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Magdalena Cieślak

^{[ 1 ]} Instytut Mechaniki Stosowanej, Wydział Budowy Maszyn i Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2018

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

gender recognition
human gait
ground reaction force
artificial neural networks

Abstract

EN 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.

Pages (from - to)

53 - 60

DOI

10.1007/978-3-319-70063-2_6

URL

https://link.springer.com/chapter/10.1007/978-3-319-70063-2_6

Book

Innovations in Biomedical Engineering

Presented on

Conference on Innovations in Biomedical Engineering, IBE 2017, 19-20.10.2017, Zabrze, Polska

Ministry points / chapter

20