INFORMATION CHANGE THE WORLD

International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.14, No.3, Jun. 2022

A Brief Literature Review of some Efficient Human Gait Analysis Based Gender Classification Techniques

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Author(s)

Satyam Rawat

Index Terms

Gait, Biometrics, classification, gender, Gait cycle

Abstract

Gait based gender classification is an emerging area in the field of biometrics that has received a lot of interest from researchers mainly due to its advantages over the other methods and its potential application. Gait based gender classification helps a vision based biometric analysis system by focusing the gender-unique features. This helps to improves the performance of the model by limiting the authentication database searching to only one gender. Through the years, researchers have tried a wide variety of techniques and their combinations to improve the accuracy of gait based biometric systems in varying use-cases. In this study, we have given a brief overview of some of the recent and pioneering works done in the field of gait-based gender classification.

Cite This Paper

Satyam Rawat, " A Brief Literature Review of some Efficient Human Gait Analysis Based Gender Classification Techniques", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.14, No.3, pp. 41-48, 2022. DOI: 10.5815/ijieeb.2022.03.05

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