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Reseach Article

Walking Pattern Recognition using Generative Adversarial Network

by Md. Abu Bakar Siddique Sadi, Turshin Ara Ashtary, Banna Sreya Sarker, Sifat Rahman Ahona
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 40
Year of Publication: 2022
Authors: Md. Abu Bakar Siddique Sadi, Turshin Ara Ashtary, Banna Sreya Sarker, Sifat Rahman Ahona
10.5120/ijca2022922510

Md. Abu Bakar Siddique Sadi, Turshin Ara Ashtary, Banna Sreya Sarker, Sifat Rahman Ahona . Walking Pattern Recognition using Generative Adversarial Network. International Journal of Computer Applications. 184, 40 ( Dec 2022), 32-36. DOI=10.5120/ijca2022922510

@article{ 10.5120/ijca2022922510,
author = { Md. Abu Bakar Siddique Sadi, Turshin Ara Ashtary, Banna Sreya Sarker, Sifat Rahman Ahona },
title = { Walking Pattern Recognition using Generative Adversarial Network },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2022 },
volume = { 184 },
number = { 40 },
month = { Dec },
year = { 2022 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number40/32580-2022922510/ },
doi = { 10.5120/ijca2022922510 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:23:41.457804+05:30
%A Md. Abu Bakar Siddique Sadi
%A Turshin Ara Ashtary
%A Banna Sreya Sarker
%A Sifat Rahman Ahona
%T Walking Pattern Recognition using Generative Adversarial Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 40
%P 32-36
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Walking pattern recognition is a fascinating biometric modality that seeks to identify people based on how they walk. Its advantage over other biometrics is that it doesn't need subjects to cooperate. By recognizing people based on how they walk, it essentially seeks to alleviate this issue.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Feature Representation Pattern Recognition Deep learning GAN.