Analysis of unclean hand system detection using template matching technique

The aim of this project is to audit the handwashing technique of hospital staff that may cause infection to the patients. This project is to detect unclean washed hands using image processing technique specifically template matching. The detection and recognition of palm in images is the key methodo...

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Main Authors:	Faradila, Naim, Tuan Nur Amalia, Tuan Arifien, Rosyati, Hamid, Nurul Wahidah, Arshad, Nurulfadzilah, Hassan, Kamarul Hawari, Ghazali
Format:	Conference or Workshop Item
Language:	English English
Published:	2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19451/ http://umpir.ump.edu.my/id/eprint/19451/1/Analysis%20of%20Unclean%20Hand%20System%20Detection%20Using%20Template%20Matching%20Technique.pdf http://umpir.ump.edu.my/id/eprint/19451/7/Analysis%20of%20Unclean%20Hand%20System%20Detection%20Using%20Template%20Matching%20Technique%201.pdf

id	ump-19451
recordtype	eprints
spelling	ump-194512018-03-06T03:29:55Z http://umpir.ump.edu.my/id/eprint/19451/ Analysis of unclean hand system detection using template matching technique Faradila, Naim Tuan Nur Amalia, Tuan Arifien Rosyati, Hamid Nurul Wahidah, Arshad Nurulfadzilah, Hassan Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering The aim of this project is to audit the handwashing technique of hospital staff that may cause infection to the patients. This project is to detect unclean washed hands using image processing technique specifically template matching. The detection and recognition of palm in images is the key methodology of this paper. Prototype used for capturing hand images is a dark box with UV light and a camera. Target will need to apply Glogerm on their hands to imitate bacteria. Hence, when they wash their hands inappropriately, Glogerm can be seen in the captured images under the UV light as the unwanted stain on washed hands, the target handwashing technique need to be improved. Templates of missed area of washed hands is used to compare the correctness of hand washed techniques by the target. Data of 100 images were taken results are: 100% accuracy of the hand image without Glogerm, 56.67% of image that did not wash using water after applying the Glogerm and 45.45% accurate when user wash their hand by using water after applying Glogerm. The overall efficiency of the system in detecting the missed part is 51% accuracy As summary, this project accurately detects stain percentage that represent the missed part when apply the template matching technique. 2017 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19451/1/Analysis%20of%20Unclean%20Hand%20System%20Detection%20Using%20Template%20Matching%20Technique.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/19451/7/Analysis%20of%20Unclean%20Hand%20System%20Detection%20Using%20Template%20Matching%20Technique%201.pdf Faradila, Naim and Tuan Nur Amalia, Tuan Arifien and Rosyati, Hamid and Nurul Wahidah, Arshad and Nurulfadzilah, Hassan and Kamarul Hawari, Ghazali (2017) Analysis of unclean hand system detection using template matching technique. In: 4th International Conference On Electrical, Control And Computer Engineering (INECCE2017), 16-17 October 2017 , Hotel Adya, Langkawi. pp. 1-4.. ISSN 2180 -1843 (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Faradila, Naim Tuan Nur Amalia, Tuan Arifien Rosyati, Hamid Nurul Wahidah, Arshad Nurulfadzilah, Hassan Kamarul Hawari, Ghazali Analysis of unclean hand system detection using template matching technique
description	The aim of this project is to audit the handwashing technique of hospital staff that may cause infection to the patients. This project is to detect unclean washed hands using image processing technique specifically template matching. The detection and recognition of palm in images is the key methodology of this paper. Prototype used for capturing hand images is a dark box with UV light and a camera. Target will need to apply Glogerm on their hands to imitate bacteria. Hence, when they wash their hands inappropriately, Glogerm can be seen in the captured images under the UV light as the unwanted stain on washed hands, the target handwashing technique need to be improved. Templates of missed area of washed hands is used to compare the correctness of hand washed techniques by the target. Data of 100 images were taken results are: 100% accuracy of the hand image without Glogerm, 56.67% of image that did not wash using water after applying the Glogerm and 45.45% accurate when user wash their hand by using water after applying Glogerm. The overall efficiency of the system in detecting the missed part is 51% accuracy As summary, this project accurately detects stain percentage that represent the missed part when apply the template matching technique.
format	Conference or Workshop Item
author	Faradila, Naim Tuan Nur Amalia, Tuan Arifien Rosyati, Hamid Nurul Wahidah, Arshad Nurulfadzilah, Hassan Kamarul Hawari, Ghazali
author_facet	Faradila, Naim Tuan Nur Amalia, Tuan Arifien Rosyati, Hamid Nurul Wahidah, Arshad Nurulfadzilah, Hassan Kamarul Hawari, Ghazali
author_sort	Faradila, Naim
title	Analysis of unclean hand system detection using template matching technique
title_short	Analysis of unclean hand system detection using template matching technique
title_full	Analysis of unclean hand system detection using template matching technique
title_fullStr	Analysis of unclean hand system detection using template matching technique
title_full_unstemmed	Analysis of unclean hand system detection using template matching technique
title_sort	analysis of unclean hand system detection using template matching technique
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19451/ http://umpir.ump.edu.my/id/eprint/19451/1/Analysis%20of%20Unclean%20Hand%20System%20Detection%20Using%20Template%20Matching%20Technique.pdf http://umpir.ump.edu.my/id/eprint/19451/7/Analysis%20of%20Unclean%20Hand%20System%20Detection%20Using%20Template%20Matching%20Technique%201.pdf
first_indexed	2023-09-18T22:27:45Z
last_indexed	2023-09-18T22:27:45Z
_version_	1777416080622354432

Analysis of unclean hand system detection using template matching technique

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