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Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

Facial emotion recognition using neural networks

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pp. 1115–1126Vol. 44Issue 6September 2023DOI: 10.47974/JIOS-1446XML
Published Online:
11 Nov 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1446
Pages:
1115–1126

Abstract

Data mining, conjointly known as information acquisition or information acquisition, is usually as the method of analyzing information from completely different views and summarizing it into helpful information. Image processing is said to read a high-quality image where a machine aims to determine the physical content of a picture or image sequence. Emotional recognition has become an efficient analysis approach in image processing and applications supporting human interaction with computers. This study conducts experimental analysis on the detection of facial emotions. The flow of our emotional awareness system includes the essential method within the FER system. This includes image capture, pre-image process, face detection, feature removal, etc. Our methodology focuses on live pictures in love with a digital camera. The aim of this study is to develop an automatic system for recognizing facial expressions in depressed individuals and therefore providing them with music medical care to alleviate stress. Thoughtful feelings of testing embrace joy, sadness, surprise, fear, disgust, and anger that is universally accepted is also explored.

Keywords

Facial detectionHaar Cascade featuresViola JonesNeural network

Subject Classifications

62M4576E17

References

[1] Vamshi Krishna Gudipati, Oindrila Ray Barman, Mofica Gaffoor, Harshagandha, Abdelshakour Abuzneid, Efficient Facial Expression Recognition Using Adaboost and Haar Cascade Classifiers, (2016) IEEE.
[2] Ihor Paliy, Face Detection Using Haar like Fea- tures Cascade and Convolutional Neural Network, Lviv Slavsko, Ukraine, TCSET’ (2008).
[3] Anchal Garg, Dr. Rohit Bajaj, Facial expression recog- nition & classification using hybridization of ICA, GA, and Neural Network for Human-Computer Interaction, Journal of Network Communications and Emerging Technologies (JNCET) (2015).
[4] Namrata Mahajan, Harshad Mahajan, Emotion Detec- tion Algorithm, International Journal of Electrical and Electronics Research, Vol. 2, Issue 2, pp 56–60 (April - June 2014).
[5] Govind U. Kharat, Sanjay V. Dudul, Emotion Recog- nition from Facial Expression Using Neural Networks, IEEE (2008).
[6] Debishree Dagar, Abir Hudait, H. K. Tripathy, M. N. Das, Automatic Emotion Detection Model from Facial Expression, International Conference on Advanced Communication Control and Computing Technologies (2016).
[7] Nitzan Cooper, Facial Expression Recognition, Ben Gurion University of the Negev (2013).
[8] Amit Pillay, Ravi Mattani, Facial Feature Detection (2018).
[9] Andreea Pascu, Facial Expression Recognition System, University of Manchester (2015).
[10] Khan, T., Singh, K., Manjul, M., Ahmad, M. N., Zain, A. M., & Ahmadian, A. : A Temperature-Aware Trusted Routing Scheme for Sensor Networks: Security Approach. Computers & Electrical Engineering, 98, 107735 (2022).
[11] Kumar, A., Singh, K., Khan, T., Ahmadian, A., Saad, M. H. M., & Manjul, M. : ETAS: an efficient trust assessment scheme for BANs. IEEE Access, 9, 83214-83233 (2021).
[12] Kumar, A., Singh, K., & Khan, T. : L-RTAM: Logarithm based reliable trust assessment model for WBSNs. Journal of Discrete Mathematical Sciences and Cryptography, 24(6), 1701-1716 (2021).
[13] Ethem Alpaydin, Introduction to Machine Learning, Second edition (2010).
[14] Ahmad A, Ahmad T, Bhatt A. HWSMCB: A community based hybrid approach for identifying influential nodes in the social network. Physica A: Statistical Mechanics and its Applications. 545 : 123590 (2020 May 1).
[15] Ahmad A, Ahmad T. A game theory approach for multi-document summarization. Arabian Journal for Science and Engineering. 44(4) : 3655-67 (2019).
[16] Ahmad A, Ahmad T. Determination of Critical Edges in Air Route Network Using Modified Weighted Sum Method and Grey Relational Analysis. IEEE Transaction on Intelligent Transportation System, pp. (2022).  
[17] Jain, V., Lamba, P. S., Singh, B., Namboothiri, N., & Dhall, S. : Facial expression recognition using feature level fusion. Journal of Discrete Mathematical Sciences and Cryptography, 22(2), 337-350 (2019). 
[18] Gaeta, M., Iovane, G., & Sangineto, E. (2006). A 3D geometric approach to face detection and facial expression recognition. Journal of Discrete Mathematical Sciences and Cryptography, 9(1), 39-53.
[19] Thyagarajan, C., Chithra, D., William Andrews, J., Rama Subramanian, P., Balaji, S., & Sathishkumar, P. J. : Companion bot with voice and facial emotion detection with PID based computer vision. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 903-911 (2022).
[20] Virmani, D., Singh, G., Aggarwal, L., & Gupta, M. : Ensemble model using hybridization of angles and distances for emotion recognition (HADER). Journal of Information and Optimization Sciences, 41(6), 1453-1461 (2020).
[21] Dubey, A. K., & Jain, V. : Automatic facial recognition using VGG16 based transfer learning model. Journal of Information and Optimization Sciences, 41(7), 1589-1596 (2020).

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