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Intelligent Biometric Detection System for Disabled People

This paper presents an intelligent system for disabled people to have a full control of computers using biometric detection so that they can still operate computers like normal people do. An idea behind this project is a fact that the emergence of difficulties for disabled people to interact with co...

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Main Authors: Luqman Bayasut, Bilal, Pramudya Ananta, Gede, Kamilah Muda, Azah
Format: Conference or Workshop Item
Language:English
English
Published: 2011
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/163/1/Bilal_Paper_HIS11_pdf.pdf
http://eprints.utem.edu.my/id/eprint/163/2/MyPaper.doc
http://eprints.utem.edu.my/id/eprint/163/
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spelling my.utem.eprints.1632015-05-28T02:17:04Z http://eprints.utem.edu.my/id/eprint/163/ Intelligent Biometric Detection System for Disabled People Luqman Bayasut, Bilal Pramudya Ananta, Gede Kamilah Muda, Azah T Technology (General) This paper presents an intelligent system for disabled people to have a full control of computers using biometric detection so that they can still operate computers like normal people do. An idea behind this project is a fact that the emergence of difficulties for disabled people to interact with computers. For instance, paralyzed people are unable to control computer mouse. Hence this project was conducted. This project only uses a webcam as an input which captures the user’s head and then tracks their head movement and iris in order to control the mouse actions. It is done by using image processing techniques such as Component Localization, Haar Cascade classifier and Hough transform. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/163/1/Bilal_Paper_HIS11_pdf.pdf application/msword en http://eprints.utem.edu.my/id/eprint/163/2/MyPaper.doc Luqman Bayasut, Bilal and Pramudya Ananta, Gede and Kamilah Muda, Azah (2011) Intelligent Biometric Detection System for Disabled People. In: HIS, 8 December 2011, Melaka, Malaysia. (Submitted)
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Luqman Bayasut, Bilal
Pramudya Ananta, Gede
Kamilah Muda, Azah
Intelligent Biometric Detection System for Disabled People
description This paper presents an intelligent system for disabled people to have a full control of computers using biometric detection so that they can still operate computers like normal people do. An idea behind this project is a fact that the emergence of difficulties for disabled people to interact with computers. For instance, paralyzed people are unable to control computer mouse. Hence this project was conducted. This project only uses a webcam as an input which captures the user’s head and then tracks their head movement and iris in order to control the mouse actions. It is done by using image processing techniques such as Component Localization, Haar Cascade classifier and Hough transform.
format Conference or Workshop Item
author Luqman Bayasut, Bilal
Pramudya Ananta, Gede
Kamilah Muda, Azah
author_facet Luqman Bayasut, Bilal
Pramudya Ananta, Gede
Kamilah Muda, Azah
author_sort Luqman Bayasut, Bilal
title Intelligent Biometric Detection System for Disabled People
title_short Intelligent Biometric Detection System for Disabled People
title_full Intelligent Biometric Detection System for Disabled People
title_fullStr Intelligent Biometric Detection System for Disabled People
title_full_unstemmed Intelligent Biometric Detection System for Disabled People
title_sort intelligent biometric detection system for disabled people
publishDate 2011
url http://eprints.utem.edu.my/id/eprint/163/1/Bilal_Paper_HIS11_pdf.pdf
http://eprints.utem.edu.my/id/eprint/163/2/MyPaper.doc
http://eprints.utem.edu.my/id/eprint/163/
_version_ 1665905234808930304
score 13.211869

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