Abstract
Emotions are physiological phenomena caused by complex cognitive activities. With the in-depth study of artificial intelligence and brain mechanism of emotion, affective computing has become a hot topic in computer science. In this paper, we used the existed emotional classification model based on electroencephalograph (EEG) to calculate the accuracy of emotion classification in 4 brain areas roughly sorted into frontal, parietal, occipital, and temporal lobes in terms of brain functional division, to infer the correlation between the emotion and 4 brain areas based on the accuracy rate of the emotion recognition. The result shows that the brain areas most related to emotions are located in the frontal and temporal lobes, which is consistent with the brain mechanism of emotional processing. This research work will provide a good guideline for selecting the most relevant electrodes with emotions to enhance the accuracy of emotion recognition based on EEG.
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Acknowledgement
Huiping Jiang has been supported by the National Nature Science Foundation of China (NO. 61503423). And this work has been supported in part by the Leading Talent Program of State Ethnic Affairs Commission, and Double First-class Special Funding of MUC.
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Jiang, H., Wang, Z., Gui, X., Yang, G. (2020). Correlation Study of Emotional Brain Areas Induced by Video. In: Gao, H., Li, K., Yang, X., Yin, Y. (eds) Testbeds and Research Infrastructures for the Development of Networks and Communications. TridentCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 309. Springer, Cham. https://doi.org/10.1007/978-3-030-43215-7_14
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DOI: https://doi.org/10.1007/978-3-030-43215-7_14
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