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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| 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 |
| _version_ | 1796995988716519424 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T13:10:28Z |
| format | Conference or Workshop Item |
| id | UMPir39089 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:10:28Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir390892023-11-14T03:54:57Z 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| 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 |
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