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...

Full description

Saved in:
Bibliographic Details
Main Author: Abang Irfan, Abang Abdul Halil
Format: Undergraduates Project Papers
Language:English
Published: 2007
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/95/1/Thesis%20complete.pdf
http://umpir.ump.edu.my/id/eprint/95/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.95
record_format eprints
spelling my.ump.umpir.952021-06-04T04:05:04Z 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.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/95/1/Thesis%20complete.pdf
http://umpir.ump.edu.my/id/eprint/95/
_version_ 1702169969441112064
score 13.160551