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Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation

With the increased threat of terrorism and identity theft, human recognition is one of the basic elements of present era’s security applications installed in commercial malls, banks, hospitals, military installations, airports, religious places etc. The basic aim of this researchstudy is to design a...

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Main Authors: Tariq, Waqar, Daud, Muhammad Lutfi, Akhtar, Shameem, Tariq, Fareeha
Format: Article
Published: Science Publishing Corporation 2019
Online Access:http://psasir.upm.edu.my/id/eprint/79969/
https://www.sciencepubco.com/index.php/ijet/article/view/25968
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spelling my.upm.eprints.799692023-04-13T04:00:29Z http://psasir.upm.edu.my/id/eprint/79969/ Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation Tariq, Waqar Daud, Muhammad Lutfi Akhtar, Shameem Tariq, Fareeha With the increased threat of terrorism and identity theft, human recognition is one of the basic elements of present era’s security applications installed in commercial malls, banks, hospitals, military installations, airports, religious places etc. The basic aim of this researchstudy is to design and implement an ANN based human recognition and monitoring system. This system uses Gait property of people to classify them through their age, gender, and group. Furthermore, the implementation and testing phase is conducted according to the principle and approaches of Project Management in order to tackle the constraint of both time and cost, also to make it a well implemented ICT project which can also follow the same approach as used commercially .Taking a tracking approach of the cost, time and quality made it easy to judge that this project is commercially viable. Science Publishing Corporation 2019 Article PeerReviewed Tariq, Waqar and Daud, Muhammad Lutfi and Akhtar, Shameem and Tariq, Fareeha (2019) Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation. International Journal of Engineering & Technology, 8 (1 spec.7). pp. 133-137. ISSN 2227-5258; ESSN: 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/25968 10.14419/ijet.v8i1.7.25968
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description With the increased threat of terrorism and identity theft, human recognition is one of the basic elements of present era’s security applications installed in commercial malls, banks, hospitals, military installations, airports, religious places etc. The basic aim of this researchstudy is to design and implement an ANN based human recognition and monitoring system. This system uses Gait property of people to classify them through their age, gender, and group. Furthermore, the implementation and testing phase is conducted according to the principle and approaches of Project Management in order to tackle the constraint of both time and cost, also to make it a well implemented ICT project which can also follow the same approach as used commercially .Taking a tracking approach of the cost, time and quality made it easy to judge that this project is commercially viable.
format Article
author Tariq, Waqar
Daud, Muhammad Lutfi
Akhtar, Shameem
Tariq, Fareeha
spellingShingle Tariq, Waqar
Daud, Muhammad Lutfi
Akhtar, Shameem
Tariq, Fareeha
Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
author_facet Tariq, Waqar
Daud, Muhammad Lutfi
Akhtar, Shameem
Tariq, Fareeha
author_sort Tariq, Waqar
title Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
title_short Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
title_full Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
title_fullStr Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
title_full_unstemmed Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
title_sort gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation
publisher Science Publishing Corporation
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/79969/
https://www.sciencepubco.com/index.php/ijet/article/view/25968
_version_ 1763298015151390720
score 13.211869

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