Pain DetectionClassification Framework including Face Recognition based on the Analysis of Facial Expressions for E-Health Systems

المؤلفون المشاركون

Sarhan, Amany
Elgendy, Fatma
al-shewimy, Mahmoud

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 18، العدد 1 (31 يناير/كانون الثاني 2021)، ص ص. 125-132، 8ص.

الناشر

جامعة الزرقاء عمادة البحث العلمي

تاريخ النشر

2021-01-31

دولة النشر

الأردن

عدد الصفحات

8

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Text in English ; abstracts in .

رقم السجل

BIM-1431016