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Gait Recognition of a Person to Detect Flat Foot Problem

Published on December 2013 by Gibin Thomas, Kapil Nagwanshi
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National Conference on Innovative Paradigms in Engineering & Technology 2013
Foundation of Computer Science USA
NCIPET2013 - Number 1
December 2013
Authors: Gibin Thomas, Kapil Nagwanshi
56911b4d-5b20-48fc-9ea4-413721789ffa

Gibin Thomas, Kapil Nagwanshi . Gait Recognition of a Person to Detect Flat Foot Problem. National Conference on Innovative Paradigms in Engineering & Technology 2013. NCIPET2013, 1 (December 2013), 33-36.

@article{
author = { Gibin Thomas, Kapil Nagwanshi },
title = { Gait Recognition of a Person to Detect Flat Foot Problem },
journal = { National Conference on Innovative Paradigms in Engineering & Technology 2013 },
issue_date = { December 2013 },
volume = { NCIPET2013 },
number = { 1 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 33-36 },
numpages = 4,
url = { /proceedings/ncipet2013/number1/14698-1321/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Innovative Paradigms in Engineering & Technology 2013
%A Gibin Thomas
%A Kapil Nagwanshi
%T Gait Recognition of a Person to Detect Flat Foot Problem
%J National Conference on Innovative Paradigms in Engineering & Technology 2013
%@ 0975-8887
%V NCIPET2013
%N 1
%P 33-36
%D 2013
%I International Journal of Computer Applications
Abstract

Biometrics is used in a wide array of applications, which makes a precise definition difficult to establish. The most general definition of a biometric is: "A physiological or behavioral characteristic, which can be used to identify and verify the identity of an individual" There are numerous biometric measures which can be used to help derive an individual's identity. Using gait as a biometric is a relatively new area of study, within the realms of computer vision. In this paper Gait recognition is done in order to detect flat foot problems in an individual.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gait Recognition Genetic Algorithm Segmentation