The International Arab Journal of Information Technology (IAJIT)

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Pain Detection/Classification Framework including Face Recognition based on the Analysis of Facial

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.


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[31] Zainudin M., Sulaiman Md., Mustapha N., Perumal T., Nazre A., Mohamed R., and Abd Manaf S., “Feature Selection Optimization using Hybrid Relieff with Self-Adaptive Differential Evolution,” International Journal of Intelligent Engineering and Systems, vol. 10, no. 3, pp. 21- 29, 2017. Fatma Elgendy was born in Kafrelshiekh, Egypt, in 1983. She received the B. Sc and M. Sc in Computer Engineering from the Faculty of Engineering, Tanta University, in 2005, and 2014, respectively. She is working as Assistant lecturer in the Department of Computer Engineering and Automatic Control, Kafrelshiekh Higher institute for Engineering and Technology, Egypt. Her interests are in the area of: Image processing, Object Recognition, Cryptography, Healthcare, and IOT applications. Mahmoud Alshewimy was born in Tanta, Egypt, in 1977. He received the M.Sc. degree in computer engineering and automatic control from Tanta University (Egypt) in 2006 and Ph.D. from Istanbul University in 2014. He is working as Associate Professor in the Department of Computer Engineering and Automatic Control, Tanta University, Egypt. His research interests include Software/Hardware Co-design, Object Recognition & Image Processing, and IOT applications. Amany Sarhan, received the B.Sc degree in Electronics Engineering, and M.Sc. in Computer Engineering from the Faculty of Engineering, Mansoura University, in 1990, and 1997, respectively. She awarded the Ph.D. degree as a joint research between Tanta Univ., Egypt and Univ. of Connecticut, USA. She is working now as a Full Prof. and head Computers and Control Dept., Tanta Univ., Egypt. Her interests are in the area of: Network, Distributed Systems, Image and video processing, GPU and Distributed Computations.