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An Approach of Human Identification based on Gait

by Pooja Gangotia, Gaurav Shrivastava, Jasvinder Pal Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 1
Year of Publication: 2014
Authors: Pooja Gangotia, Gaurav Shrivastava, Jasvinder Pal Singh
10.5120/16182-5404

Pooja Gangotia, Gaurav Shrivastava, Jasvinder Pal Singh . An Approach of Human Identification based on Gait. International Journal of Computer Applications. 93, 1 ( May 2014), 33-36. DOI=10.5120/16182-5404

@article{ 10.5120/16182-5404,
author = { Pooja Gangotia, Gaurav Shrivastava, Jasvinder Pal Singh },
title = { An Approach of Human Identification based on Gait },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 1 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number1/16182-5404/ },
doi = { 10.5120/16182-5404 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:42.906558+05:30
%A Pooja Gangotia
%A Gaurav Shrivastava
%A Jasvinder Pal Singh
%T An Approach of Human Identification based on Gait
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 1
%P 33-36
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gait is a behavioral biometrics which has gains more attention for research. Advantages of human gait are that it can be captured from a distance without knowledge of the subject. Gait is defined as manner of person's walking. A wide range of research have been done in this filed so far. In our research work, an approach has been proposed for identification of human being based on their gait. We have evaluated result analysis on CASIA Dataset. We have considered right side view of 17 subjects and three features for result evaluation. In this paper two type of analysis have been done and find out which analysis have given better recognition rate.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Gait Classification.

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