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

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Author(s)

Satyam Rawat 1,*

1. Lovely Professional University

* Corresponding author.

DOI: https://doi.org/10.5815/ijieeb.2022.03.05

Received: 20 Feb. 2022 / Revised: 10 Mar. 2022 / Accepted: 5 Apr. 2022 / Published: 8 Jun. 2022

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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