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...
| Main Authors: | , , , |
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| 格式: | Article |
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Science Publishing Corporation
2019
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| _version_ | 1825951237495848960 |
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| author | Tariq, Waqar Daud, Muhammad Lutfi Akhtar, Shameem Tariq, Fareeha |
| author_facet | Tariq, Waqar Daud, Muhammad Lutfi Akhtar, Shameem Tariq, Fareeha |
| author_sort | Tariq, Waqar |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T10:26:56Z |
| format | Article |
| id | upm.eprints-79969 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T10:26:56Z |
| publishDate | 2019 |
| publisher | Science Publishing Corporation |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| work_keys_str_mv | AT tariqwaqar gaitfeaturebasedonhumanidentificationclassificationbyusingartificialneuralnetworkandprojectmanagementapproachesforitsimplementation AT daudmuhammadlutfi gaitfeaturebasedonhumanidentificationclassificationbyusingartificialneuralnetworkandprojectmanagementapproachesforitsimplementation AT akhtarshameem gaitfeaturebasedonhumanidentificationclassificationbyusingartificialneuralnetworkandprojectmanagementapproachesforitsimplementation AT tariqfareeha gaitfeaturebasedonhumanidentificationclassificationbyusingartificialneuralnetworkandprojectmanagementapproachesforitsimplementation |