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Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis

Hand segmentation is an important identification of chest pain behaviours among drivers. Chest pain is an early detection of heart-related diseases. Among the many methods in hand segmentation, YCbCr is determined as the most effective colour space to detect the colour of human skin. The threshold a...

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Main Authors: Noraizan, Ibrahim, Rohana, Abdul Karim, Nurul Wahidah, Arshad, Yasmin, Abdul Wahab, Harmoko Saputro, Adhi
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39089/1/Hand%20segmentation%20for%20chest%20pain%20behaviour%20of%20a%20car%20driver%20in%20vehicle.pdf
http://umpir.ump.edu.my/id/eprint/39089/2/Hand%20segmentation%20for%20chest%20pain%20behaviour%20of%20a%20car%20driver%20in%20vehicle%20by%20using%20fusion%20watershed%20and%20blob%20analysis_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39089/
https://doi.org/10.1109/ICSPC55597.2022.10001809
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spelling my.ump.umpir.390892023-11-14T03:54:57Z http://umpir.ump.edu.my/id/eprint/39089/ Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis Noraizan, Ibrahim Rohana, Abdul Karim Nurul Wahidah, Arshad Yasmin, Abdul Wahab Harmoko Saputro, Adhi T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Hand segmentation is an important identification of chest pain behaviours among drivers. Chest pain is an early detection of heart-related diseases. Among the many methods in hand segmentation, YCbCr is determined as the most effective colour space to detect the colour of human skin. The threshold applied technique has great robustness in skin colour detection and segmentation of human body objects such as the face, arm, hands and neck through the undertaking of blob analysis. However, one of several obstacles in hand segmentation which resulted in its low accuracy rate of 62% is identified to be an existing connection between the hands and face regions. This connection problem is specifically overcome by the introduction of a fusion watershed technique with blob analysis. As an effective technique for image segmentation, watershed transform would separate the connected area into multiple regions. The conducted analysis then confirmed the hand as the smallest area across other separated regions. Enhanced execution of hand segmentation was subsequently achieved through extraction of the hand region via the output of the fusion watershed by the employment of blob analysis. Experimental results ultimately confirmed a higher accuracy rate of 75% through the employment of the fusion technique. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39089/1/Hand%20segmentation%20for%20chest%20pain%20behaviour%20of%20a%20car%20driver%20in%20vehicle.pdf pdf en http://umpir.ump.edu.my/id/eprint/39089/2/Hand%20segmentation%20for%20chest%20pain%20behaviour%20of%20a%20car%20driver%20in%20vehicle%20by%20using%20fusion%20watershed%20and%20blob%20analysis_ABS.pdf Noraizan, Ibrahim and Rohana, Abdul Karim and Nurul Wahidah, Arshad and Yasmin, Abdul Wahab and Harmoko Saputro, Adhi (2022) Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis. In: 2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings, 17 December 2022 , Malacca. pp. 197-202. (185865). ISBN 978-166547098-8 https://doi.org/10.1109/ICSPC55597.2022.10001809
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Noraizan, Ibrahim
Rohana, Abdul Karim
Nurul Wahidah, Arshad
Yasmin, Abdul Wahab
Harmoko Saputro, Adhi
Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
description Hand segmentation is an important identification of chest pain behaviours among drivers. Chest pain is an early detection of heart-related diseases. Among the many methods in hand segmentation, YCbCr is determined as the most effective colour space to detect the colour of human skin. The threshold applied technique has great robustness in skin colour detection and segmentation of human body objects such as the face, arm, hands and neck through the undertaking of blob analysis. However, one of several obstacles in hand segmentation which resulted in its low accuracy rate of 62% is identified to be an existing connection between the hands and face regions. This connection problem is specifically overcome by the introduction of a fusion watershed technique with blob analysis. As an effective technique for image segmentation, watershed transform would separate the connected area into multiple regions. The conducted analysis then confirmed the hand as the smallest area across other separated regions. Enhanced execution of hand segmentation was subsequently achieved through extraction of the hand region via the output of the fusion watershed by the employment of blob analysis. Experimental results ultimately confirmed a higher accuracy rate of 75% through the employment of the fusion technique.
format Conference or Workshop Item
author Noraizan, Ibrahim
Rohana, Abdul Karim
Nurul Wahidah, Arshad
Yasmin, Abdul Wahab
Harmoko Saputro, Adhi
author_facet Noraizan, Ibrahim
Rohana, Abdul Karim
Nurul Wahidah, Arshad
Yasmin, Abdul Wahab
Harmoko Saputro, Adhi
author_sort Noraizan, Ibrahim
title Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
title_short Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
title_full Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
title_fullStr Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
title_full_unstemmed Hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
title_sort hand segmentation for chest pain behaviour of a car driver in vehicle by using fusion watershed and blob analysis
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39089/1/Hand%20segmentation%20for%20chest%20pain%20behaviour%20of%20a%20car%20driver%20in%20vehicle.pdf
http://umpir.ump.edu.my/id/eprint/39089/2/Hand%20segmentation%20for%20chest%20pain%20behaviour%20of%20a%20car%20driver%20in%20vehicle%20by%20using%20fusion%20watershed%20and%20blob%20analysis_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39089/
https://doi.org/10.1109/ICSPC55597.2022.10001809
_version_ 1822923823463268352
score 13.232414

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