文章基本信息

标题：Pain Detection/Classification Framework including Face Recognition based on the Analysis of Facial E
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作者：Fatma Elgendy ; Mahmoud Alshewimy ; Amany Sarhan 等
期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2021
卷号：18
期号：1
DOI：10.34028/iajit/18/1/14
语种：English
出版社：Zarqa Private University
摘要：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.
关键词：E-health;Gabor filter;Adaboost;relieff filter;SADE;KNN