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2021 | OriginalPaper | Chapter

Gait-Based Person Identification, Gender Classification, and Age Estimation: A Review

Authors : Rupali Patua, Tripti Muchhal, Saikat Basu

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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Abstract

In this era where both techniques and technology are going digital, there is a need of designing and developing such a system that automatically identifies the person and also the person’s attributes with the help of the biometric system. The biometric of every person is unique. Therefore, in this context, the use of the biometric system to identify the identity of an individual is a popular approach. Gait is a biometric approach that helps to verify the identity of a person by their walking patterns. Owing to the advantages of gait as a biometric, its popularity among the researchers is amplified in recent years. In this paper, a review is represented, where several papers with different methods, have been mentioned which recognize the person and its attributes such as gender and age based on the gait of the person.

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Metadata
Title
Gait-Based Person Identification, Gender Classification, and Age Estimation: A Review
Authors
Rupali Patua
Tripti Muchhal
Saikat Basu
Copyright Year
2021
Publisher
Springer Singapore
Book
Progress in Advanced Computing and Intelligent Engineering

Print ISBN: 978-981-15-6583-0

Electronic ISBN: 978-981-15-6584-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-6584-7_7