The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification
The correct assessment is essential to ensure the proper treatment for the patient and pain is relieved. Thus, the inaccuracy in identifying the pain scale intensity has to be at the lowest point. However, many studies point out that the existing pain scale intensity identification is mainly based o...
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| Format: | Article |
| Language: | English English |
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Penerbit UTM Press
2021
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| Online Access: | https://eprints.ums.edu.my/id/eprint/32082/1/The%20Application%20of%20Facial%20Expression%20Recognition%20in%20Reducing%20Inaccuracy%20in%20Pain%20Scale%20Intensity%20Identification.pdf https://eprints.ums.edu.my/id/eprint/32082/2/The%20Application%20of%20Facial%20Expression%20Recognition%20in%20Reducing%20Inaccuracy%20in%20Pain%20Scale%20Intensity%20Identification1.pdf |
| _version_ | 1825714627900604416 |
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| author | Mohd Ariff bin Sulaiman Nur Azaliah Abu Bakar Suraya Yaacob Farashazillah Yahya |
| author_facet | Mohd Ariff bin Sulaiman Nur Azaliah Abu Bakar Suraya Yaacob Farashazillah Yahya |
| author_sort | Mohd Ariff bin Sulaiman |
| collection | UMS |
| description | The correct assessment is essential to ensure the proper treatment for the patient and pain is relieved. Thus, the inaccuracy in identifying the pain scale intensity has to be at the lowest point. However, many studies point out that the existing pain scale intensity identification is mainly based on human perception and individual pain endurance threshold. Therefore, the results can be varied and also being manipulated by the patients. This article aims to propose a Machine Learning technique to recognize and analyse facial expression recognition during pain assessment. The paper describes the relationship of the problem, solution and the impact of the solution. It further explains how the application of machine learning in pain detection can be applied starting from features selection an Data sets collection, followed by analyzing and concludes by discussing the idea of improvements of the solution. |
| first_indexed | 2024-03-06T03:14:37Z |
| format | Article |
| id | ums.eprints-32082 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:14:37Z |
| publishDate | 2021 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | ums.eprints-320822022-03-29T09:41:47Z https://eprints.ums.edu.my/id/eprint/32082/ The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification Mohd Ariff bin Sulaiman Nur Azaliah Abu Bakar Suraya Yaacob Farashazillah Yahya QA75.5-76.95 Electronic computers. Computer science QA801-939 Analytic mechanics The correct assessment is essential to ensure the proper treatment for the patient and pain is relieved. Thus, the inaccuracy in identifying the pain scale intensity has to be at the lowest point. However, many studies point out that the existing pain scale intensity identification is mainly based on human perception and individual pain endurance threshold. Therefore, the results can be varied and also being manipulated by the patients. This article aims to propose a Machine Learning technique to recognize and analyse facial expression recognition during pain assessment. The paper describes the relationship of the problem, solution and the impact of the solution. It further explains how the application of machine learning in pain detection can be applied starting from features selection an Data sets collection, followed by analyzing and concludes by discussing the idea of improvements of the solution. Penerbit UTM Press 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32082/1/The%20Application%20of%20Facial%20Expression%20Recognition%20in%20Reducing%20Inaccuracy%20in%20Pain%20Scale%20Intensity%20Identification.pdf text en https://eprints.ums.edu.my/id/eprint/32082/2/The%20Application%20of%20Facial%20Expression%20Recognition%20in%20Reducing%20Inaccuracy%20in%20Pain%20Scale%20Intensity%20Identification1.pdf Mohd Ariff bin Sulaiman and Nur Azaliah Abu Bakar and Suraya Yaacob and Farashazillah Yahya (2021) The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification. Open International Journal of Informatics (OIJI), 9 (2). pp. 29-38. ISSN 2289-2370 https://oiji.utm.my/index.php/oiji/article/view/157/115 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science QA801-939 Analytic mechanics Mohd Ariff bin Sulaiman Nur Azaliah Abu Bakar Suraya Yaacob Farashazillah Yahya The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification |
| title | The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification |
| title_full | The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification |
| title_fullStr | The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification |
| title_full_unstemmed | The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification |
| title_short | The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification |
| title_sort | application of facial expression recognition in reducing inaccuracy in pain scale intensity identification |
| topic | QA75.5-76.95 Electronic computers. Computer science QA801-939 Analytic mechanics |
| url | https://eprints.ums.edu.my/id/eprint/32082/1/The%20Application%20of%20Facial%20Expression%20Recognition%20in%20Reducing%20Inaccuracy%20in%20Pain%20Scale%20Intensity%20Identification.pdf https://eprints.ums.edu.my/id/eprint/32082/2/The%20Application%20of%20Facial%20Expression%20Recognition%20in%20Reducing%20Inaccuracy%20in%20Pain%20Scale%20Intensity%20Identification1.pdf |
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