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Home»Articles»Gait Biometric Recognition Using Direct Classification, TSVM, SVM and Neural Network

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Asian Journal of Science and Applied Technology (AJSAT)

Editor Dr. Balaji Ramachandran
Print ISSN : 2249 - 0698
Frequency : Half-yearly

Gait Biometric Recognition Using Direct Classification, TSVM, SVM and Neural Network

Author : S. Senthil Kumar and V.Kathiresan
Volume 6 No.1 January-June 2017 pp 28-31

Abstract

Gait recognition is the process of identifying an individual by the manner in which they walk. Using gait as a biometric is a relatively new area of study, within the realms of computer vision. It has been receiving growing interest within the computer vision community and a number of gait metrics have been developed. The term gait recognition to signify the identification of an individual from a video sequence of the subject walking. This does not mean that gait is limited to walking, it can also be applied to running or any means of movement on foot. While gait has several attractive properties as a biometric there are several confounding factors such as variations due to footwear, terrain, fatigue, injury, and passage of time. Examples of motion that are gaits include walking, running, jogging, and climbing stairs. Sitting down, picking up an object, and throwing and object are all coordinated motions, but they are not cyclic. Jumping jacks are coordinated and cyclic, but do not result in locomotion. The use of gait as a biometric for human identification is still young when compared to methods that use voice, finger prints, or faces.

Keywords

Gait, biometrics, SVM, TSVM, NN

Full Text:

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AJSAT is covering all aspects of Science and Applied Technology areas. Topics include, but are not limited to:

Chemistry
Physics
Astronomy
Earth Science
Environmental Science
Biology
Computer Science
Mathematics
Statistics
Systems Science

Gait recognition is the process of identifying an individual by the manner in which they walk. Using gait as a biometric is a relatively new area of study, within the realms of computer vision. It has been receiving growing interest within the computer vision community and a number of gait metrics have been developed. The term gait recognition to signify the identification of an individual from a video sequence of the subject walking. This does not mean that gait is limited to walking, it can also be applied to running or any means of movement on foot. While gait has several attractive properties as a biometric there are several confounding factors such as variations due to footwear, terrain, fatigue, injury, and passage of time. Examples of motion that are gaits include walking, running, jogging, and climbing stairs. Sitting down, picking up an object, and throwing and object are all coordinated motions, but they are not cyclic. Jumping jacks are coordinated and cyclic, but do not result in locomotion. The use of gait as a biometric for human identification is still young when compared to methods that use voice, finger prints, or faces.

Editor-in-Chief
Dr. Balaji Ramachandran
Department of Applied Sciences, Nicholls State University, Louisiana, United States
[email protected]
Editorial Advisory Board
Dr. Maamar Benkraouda
Department of Physics, United Arab Emirates University, UAE
[email protected]
Dr. Rasheed Al Hammadi
Department of Biology, United Arab Emirates University, UAE
[email protected]
Dr. Dimitrios P. Nikolelis
Department of Chemistry, University of Athens, Greece
[email protected]
Dr. Fauziah Binti Shahul Hamid
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. Karni S Moshal
Department of Medicine, Alpert Medical School of Brown University, USA
[email protected]
Dr. Koh You Beng
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Dr. Lim Sok Li
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Dr. Ramesh Kasi
Department of Physics, University of Malaya, Malaysia
[email protected]
Dr. Jasmine Elanie Binti Khairat
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. Nur Airina Binti Muhamad
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. Amizah Malip
Department of Applied Mathematics, University of Malaya, Malaysia
[email protected]
Dr. Azzuliani Binti Supangat
Department of Physics, University of Malaya, Malaysia
[email protected]
Prof. Mohamed Toutounji
Professor, Department of Chemistry, United Arab Emirates University, UAE
[email protected]
Dr. Mohd Azmi Haron
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Prof. Noordini Mohamad Salleh
Department of Chemistry, University of Malaya, Malaysia
[email protected]
Dr. Ibrahim Bin Mohamed
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]
Dr. Halijah Ibrahim
Institute of Biological Sciences, University of Malaya, Malaysia
[email protected]
Dr. S. Chandra Kishore
Assistant Professor, University of Information Science and Technology,
“St. Paul The Apostle”, Macedonia, Greece
[email protected]
Dr. Salah Nasri
Department of Physics, United Arab Emirates University, UAE
[email protected]
Dr. Dharini Pathmanathan
Institute of Mathematical Sciences, University of Malaya, Malaysia
[email protected]

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    Editorial Note

    Editorial Dr. Balaji Ramachandran

    Editor-in-Chief
    Dr. Balaji Ramachandran
    Department of Applied Sciences, Nicholls State University, Louisiana, United States
    [email protected]
    Editorial Advisory Board
    Dr. Maamar Benkraouda
    Department of Physics, United Arab Emirates University, UAE
    [email protected]
    Dr. Rasheed Al Hammadi
    Department of Biology, United Arab Emirates University, UAE
    [email protected]
    Dr. Dimitrios P. Nikolelis
    Department of Chemistry, University of Athens, Greece
    [email protected]
    Dr. Fauziah Binti Shahul Hamid
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Karni S Moshal
    Department of Medicine, Alpert Medical School of Brown University, USA
    [email protected]
    Dr. Koh You Beng
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Lim Sok Li
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Ramesh Kasi
    Department of Physics, University of Malaya, Malaysia
    [email protected]
    Dr. Jasmine Elanie Binti Khairat
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Nur Airina Binti Muhamad
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Amizah Malip
    Department of Applied Mathematics, University of Malaya, Malaysia
    [email protected]
    Dr. Azzuliani Binti Supangat
    Department of Physics, University of Malaya, Malaysia
    [email protected]
    Prof. Mohamed Toutounji
    Professor, Department of Chemistry, United Arab Emirates University, UAE
    [email protected]
    Dr. Mohd Azmi Haron
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Prof. Noordini Mohamad Salleh
    Department of Chemistry, University of Malaya, Malaysia
    [email protected]
    Dr. Ibrahim Bin Mohamed
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. Halijah Ibrahim
    Institute of Biological Sciences, University of Malaya, Malaysia
    [email protected]
    Dr. S. Chandra Kishore
    Assistant Professor, University of Information Science and Technology,
    “St. Paul The Apostle”, Macedonia, Greece
    [email protected]
    Dr. Salah Nasri
    Department of Physics, United Arab Emirates University, UAE
    [email protected]
    Dr. Dharini Pathmanathan
    Institute of Mathematical Sciences, University of Malaya, Malaysia
    [email protected]

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