Gait Recognition by Computing Fixed Body Parameters

Biometrics is a very important science, especially in recent years. This science was used to identify people based on their physical and behavioral characteristics. Gaiting is a behavioral characteristic that arises from the feeling that a person close to us can be identified even from a distance simply by recognizing how the person walks. The main advantage of gait recognition is that they are hidden and unnoticed. People can be identified from a distance. This paper implement Using computing fixed Body Parameters in the gait recognition. Computing fixed Body Parameters techniques has the advantage of being less sensitive to gait variance. The data captured manually from 50 persons, and the system can identify about (50 )% from the number of persons.

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Publication Details

Journal
Babylonian Journal of Networking
Published
2024-09-20
DOI
https://doi.org/10.58496/bjn/2024/019
Citations
9
Primary Topic
Gait Recognition and Analysis
Type
article
Field-Weighted Citation Impact
1.66
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article

Gait Recognition by Computing Fixed Body Parameters

Hadeel M Saleh, Kassim Mohammed Awad, Lamia Faris Tulaib
9 citations
Babylonian Journal of Networking
Gait Recognition and Analysis
1.66
article

Gait Recognition by Computing Fixed Body Parameters

Hadeel M Saleh, Kassim Mohammed Awad, Lamia Faris Tulaib
article en
9 citations

Abstract

Biometrics is a very important science, especially in recent years. This science was used to identify people based on their physical and behavioral characteristics. Gaiting is a behavioral characteristic that arises from the feeling that a person close to us can be identified even from a distance simply by recognizing how the person walks. The main advantage of gait recognition is that they are hidden and unnoticed. People can be identified from a distance. This paper implement Using computing fixed Body Parameters in the gait recognition. Computing fixed Body Parameters techniques has the advantage of being less sensitive to gait variance. The data captured manually from 50 persons, and the system can identify about (50 )% from the number of persons.

Babylonian Journal of NetworkingVol. 2024
University of Anbar (IQ)
Openalex Percentile: Top 17%
Gait Recognition and Analysis
1.66
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