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

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

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DOI/Official URL: https://doi.org/10.1109/ICSPC55597.2022.10001809

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Blob analysis; Hand segmentation; Keywords - chest pain; Watershed technique; YCbCr colour space
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	14 Nov 2023 03:54
Last Modified:	14 Nov 2023 03:54
URI:	http://umpir.ump.edu.my/id/eprint/39089
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