Hand gesture recognition system using image processing

Image processing has a very big potential to do virtually anything. But in real life, worse come to worst when the development of particular interest is not being done properly. This project comes to the extent of development details on recognition system by using state-of-the-art NI LabVIEW graphic...

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Bibliographic Details
Main Author:	Abang Irfan, Abang Abdul Halil
Format:	Undergraduates Project Papers
Language:	English
Published:	2007
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/95/ http://umpir.ump.edu.my/id/eprint/95/ http://umpir.ump.edu.my/id/eprint/95/1/Thesis%20complete.pdf

id	ump-95
recordtype	eprints
spelling	ump-952017-02-13T01:13:26Z http://umpir.ump.edu.my/id/eprint/95/ Hand gesture recognition system using image processing Abang Irfan, Abang Abdul Halil TK Electrical engineering. Electronics Nuclear engineering Image processing has a very big potential to do virtually anything. But in real life, worse come to worst when the development of particular interest is not being done properly. This project comes to the extent of development details on recognition system by using state-of-the-art NI LabVIEW graphical programming software. The complexness and configurable in so many way of today’s entertainment has brought us back to basic of safety. It is worthless to have a complete system that can do almost anything but compromises human life. To cope up on par to today technological achievement, this project will try to bring sophisticated ways of using image processing as a solution to deliver command in the other way. The hardware is being interfaced by using Software Development Kit (SDK) from the supplier of the hardware, in this case is Logitech Inc. Proper data channeling between hardware and software ensure smooth transaction that increase performance and capability. The method of backlighting is used to give proper exposure to the subject so that the further processing and blob (binary large object) analysis can be done on it. This system also used algorithm of several processing technique that may or may not be the same output for each type of it. The system is upgradeable to be connected by separate module. It will not be viable to implement it today, but the ever falling prices of gadget plus a little bit of innovation into infrared lighting, 0 lux night vision acquisition, refine image processing and fuzzy logic to keep the system trained, it will be everyday must. This is proven, considering costly research and development on Air Bag technology as an example, sometimes ago is now a necessity. 2007-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/95/1/Thesis%20complete.pdf Abang Irfan, Abang Abdul Halil (2007) Hand gesture recognition system using image processing. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:25501&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Abang Irfan, Abang Abdul Halil Hand gesture recognition system using image processing
description	Image processing has a very big potential to do virtually anything. But in real life, worse come to worst when the development of particular interest is not being done properly. This project comes to the extent of development details on recognition system by using state-of-the-art NI LabVIEW graphical programming software. The complexness and configurable in so many way of today’s entertainment has brought us back to basic of safety. It is worthless to have a complete system that can do almost anything but compromises human life. To cope up on par to today technological achievement, this project will try to bring sophisticated ways of using image processing as a solution to deliver command in the other way. The hardware is being interfaced by using Software Development Kit (SDK) from the supplier of the hardware, in this case is Logitech Inc. Proper data channeling between hardware and software ensure smooth transaction that increase performance and capability. The method of backlighting is used to give proper exposure to the subject so that the further processing and blob (binary large object) analysis can be done on it. This system also used algorithm of several processing technique that may or may not be the same output for each type of it. The system is upgradeable to be connected by separate module. It will not be viable to implement it today, but the ever falling prices of gadget plus a little bit of innovation into infrared lighting, 0 lux night vision acquisition, refine image processing and fuzzy logic to keep the system trained, it will be everyday must. This is proven, considering costly research and development on Air Bag technology as an example, sometimes ago is now a necessity.
format	Undergraduates Project Papers
author	Abang Irfan, Abang Abdul Halil
author_facet	Abang Irfan, Abang Abdul Halil
author_sort	Abang Irfan, Abang Abdul Halil
title	Hand gesture recognition system using image processing
title_short	Hand gesture recognition system using image processing
title_full	Hand gesture recognition system using image processing
title_fullStr	Hand gesture recognition system using image processing
title_full_unstemmed	Hand gesture recognition system using image processing
title_sort	hand gesture recognition system using image processing
publishDate	2007
url	http://umpir.ump.edu.my/id/eprint/95/ http://umpir.ump.edu.my/id/eprint/95/ http://umpir.ump.edu.my/id/eprint/95/1/Thesis%20complete.pdf
first_indexed	2023-09-18T21:51:57Z
last_indexed	2023-09-18T21:51:57Z
_version_	1777413828068245504

Hand gesture recognition system using image processing

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