Pain DetectionClassification Framework including Face Recognition based on the Analysis of Facial Expressions for E-Health Systems
Joint Authors
Sarhan, Amany
Elgendy, Fatma
al-shewimy, Mahmoud
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 1 (31 Jan. 2021), pp.125-132, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-01-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Facial expressions can demonstrate the presence and degree of pain of humans, which is a vital topic in E healthcare domain specially for elderly people or patients with special needs.
This paper presents a framework for pain detection, pain classification, and face recognition using feature extraction, feature selection, and classification techniques.
Pain intensity is measured by Prkachin and Solomon pain intensity scale.
Experimental results showed that the proposed framework is a promising one compared with previously works.
It achieves 91% accuracy in pain detection, 99.89% accuracy in face recognition, and 78%, 92%, 88% accuracy, respectively, for three levels of pain classification.
American Psychological Association (APA)
Elgendy, Fatma& Sarhan, Amany& al-shewimy, Mahmoud. 2021. Pain DetectionClassification Framework including Face Recognition based on the Analysis of Facial Expressions for E-Health Systems. The International Arab Journal of Information Technology،Vol. 18, no. 1, pp.125-132.
https://search.emarefa.net/detail/BIM-1431016
Modern Language Association (MLA)
Elgendy, Fatma…[et al.]. Pain DetectionClassification Framework including Face Recognition based on the Analysis of Facial Expressions for E-Health Systems. The International Arab Journal of Information Technology Vol. 18, no. 1 (Jan. 2021), pp.125-132.
https://search.emarefa.net/detail/BIM-1431016
American Medical Association (AMA)
Elgendy, Fatma& Sarhan, Amany& al-shewimy, Mahmoud. Pain DetectionClassification Framework including Face Recognition based on the Analysis of Facial Expressions for E-Health Systems. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 1, pp.125-132.
https://search.emarefa.net/detail/BIM-1431016
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in .
Record ID
BIM-1431016