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

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

Автор: Satyam Rawat

Журнал: International Journal of Information Engineering and Electronic Business @ijieeb

Статья в выпуске: 3 vol.14, 2022 года.

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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.

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Gait, Biometrics, classification, gender, Gait cycle

Короткий адрес: https://sciup.org/15018433

IDR: 15018433   |   DOI: 10.5815/ijieeb.2022.03.05

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