Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions

Sara Mohammed Alzahmi; Bashayer Mohammed Alyammahi; Maitha Saeed Alyammahi; Mariam Rashed Alshamsi; Abdelkader Nasreddine Belkacem

doi:10.1109/BIBM55620.2022.9995408

Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions

Sara Mohammed Alzahmi
, Bashayer Mohammed Alyammahi
, Maitha Saeed Alyammahi
, Mariam Rashed Alshamsi
, Abdelkader Nasreddine Belkacem

Department of Computer and Network Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Emotions play an important role in the health and well-being of humans. It is associated with feedback on human interaction with the surrounding environment, decision-making, and intelligence. Electroencephalography (EEG)-based brain-computer interfaces (BCI) technology can be used to sense the emotional state of humans. Therefore, this research introduces a non-invasive BCI system that provides solutions for psychiatrists to treat patients suffering from chronic sadness, depression, and anxiety without medications. Here, we propose an EEG-based neurofeedback system for decoding and modulating human emotions. This system decodes three emotions: happiness, sadness, and neutral emotions. From the decoded emotion, the system generates visual and auditory feedback to train the patient to regulate his/her brain activity to improve his/her mental health. We collected EEG data corresponding to each emotion from twelve female participants while watching multiple stimuli to develop a support vector machine (SVM) model with a radial basis function (RBF) kernel. The SVM model decoded the desired emotions with 92.3% accuracy. Then, EEG- Neurofeedback sessions decode the patient's emotions in real-time and generate visual and auditory feedback using the decoded emotions.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
Editors	Donald Adjeroh, Qi Long, Xinghua Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda M. Mondal, Jin Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1988-1993
Number of pages	6
ISBN (Electronic)	9781665468190
DOIs	https://doi.org/10.1109/BIBM55620.2022.9995408
Publication status	Published - 2022
Event	2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 - Las Vegas, United States Duration: Dec 6 2022 → Dec 8 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

Conference

Conference	2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
Country/Territory	United States
City	Las Vegas
Period	12/6/22 → 12/8/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Brain-Computer Interface
Decode human emotions
Electroencephalography
Emotions
Modulate brain activity
Neurofeedback
Support Vector Machine (SVM)

ASJC Scopus subject areas

Psychiatry and Mental health
Information Systems and Management
Biomedical Engineering
Medicine (miscellaneous)
Cardiology and Cardiovascular Medicine
Health Informatics

Access to Document

10.1109/BIBM55620.2022.9995408

Cite this

Alzahmi, S. M., Alyammahi, B. M., Alyammahi, M. S., Alshamsi, M. R., & Belkacem, A. N. (2022). Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions. In D. Adjeroh, Q. Long, X. Shi, F. Guo, X. Hu, S. Aluru, G. Narasimhan, J. Wang, M. Kang, A. M. Mondal, & J. Liu (Eds.), Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 (pp. 1988-1993). (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM55620.2022.9995408

Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions. / Alzahmi, Sara Mohammed; Alyammahi, Bashayer Mohammed; Alyammahi, Maitha Saeed et al.
Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. ed. / Donald Adjeroh; Qi Long; Xinghua Shi; Fei Guo; Xiaohua Hu; Srinivas Aluru; Giri Narasimhan; Jianxin Wang; Mingon Kang; Ananda M. Mondal; Jin Liu. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1988-1993 (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alzahmi, SM, Alyammahi, BM, Alyammahi, MS, Alshamsi, MR & Belkacem, AN 2022, Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions. in D Adjeroh, Q Long, X Shi, F Guo, X Hu, S Aluru, G Narasimhan, J Wang, M Kang, AM Mondal & J Liu (eds), Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1988-1993, 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, United States, 12/6/22. https://doi.org/10.1109/BIBM55620.2022.9995408

Alzahmi SM, Alyammahi BM, Alyammahi MS, Alshamsi MR, Belkacem AN. Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions. In Adjeroh D, Long Q, Shi X, Guo F, Hu X, Aluru S, Narasimhan G, Wang J, Kang M, Mondal AM, Liu J, editors, Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1988-1993. (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022). doi: 10.1109/BIBM55620.2022.9995408

Alzahmi, Sara Mohammed ; Alyammahi, Bashayer Mohammed ; Alyammahi, Maitha Saeed et al. / Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions. Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. editor / Donald Adjeroh ; Qi Long ; Xinghua Shi ; Fei Guo ; Xiaohua Hu ; Srinivas Aluru ; Giri Narasimhan ; Jianxin Wang ; Mingon Kang ; Ananda M. Mondal ; Jin Liu. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1988-1993 (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

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abstract = "Emotions play an important role in the health and well-being of humans. It is associated with feedback on human interaction with the surrounding environment, decision-making, and intelligence. Electroencephalography (EEG)-based brain-computer interfaces (BCI) technology can be used to sense the emotional state of humans. Therefore, this research introduces a non-invasive BCI system that provides solutions for psychiatrists to treat patients suffering from chronic sadness, depression, and anxiety without medications. Here, we propose an EEG-based neurofeedback system for decoding and modulating human emotions. This system decodes three emotions: happiness, sadness, and neutral emotions. From the decoded emotion, the system generates visual and auditory feedback to train the patient to regulate his/her brain activity to improve his/her mental health. We collected EEG data corresponding to each emotion from twelve female participants while watching multiple stimuli to develop a support vector machine (SVM) model with a radial basis function (RBF) kernel. The SVM model decoded the desired emotions with 92.3\% accuracy. Then, EEG- Neurofeedback sessions decode the patient's emotions in real-time and generate visual and auditory feedback using the decoded emotions.",

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AU - Belkacem, Abdelkader Nasreddine

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AB - Emotions play an important role in the health and well-being of humans. It is associated with feedback on human interaction with the surrounding environment, decision-making, and intelligence. Electroencephalography (EEG)-based brain-computer interfaces (BCI) technology can be used to sense the emotional state of humans. Therefore, this research introduces a non-invasive BCI system that provides solutions for psychiatrists to treat patients suffering from chronic sadness, depression, and anxiety without medications. Here, we propose an EEG-based neurofeedback system for decoding and modulating human emotions. This system decodes three emotions: happiness, sadness, and neutral emotions. From the decoded emotion, the system generates visual and auditory feedback to train the patient to regulate his/her brain activity to improve his/her mental health. We collected EEG data corresponding to each emotion from twelve female participants while watching multiple stimuli to develop a support vector machine (SVM) model with a radial basis function (RBF) kernel. The SVM model decoded the desired emotions with 92.3% accuracy. Then, EEG- Neurofeedback sessions decode the patient's emotions in real-time and generate visual and auditory feedback using the decoded emotions.

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ER -

Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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