Publication Type : Conference Paper
Publisher : IEEE
Source : 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) Pages 1-5
Url : https://ieeexplore.ieee.org/abstract/document/8782383
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2018
Abstract : The electroencephalogram (EEG) analysis has a significant role in affective computing. The EEG data is being analyzed to see the difference in response of brain activity of human emotions in different sex. There are ten subjects of which five are male and five are female with some subjects having myopia. The emotions taken into account are sad, happy, disgust, neutral and fear. The feature extracted data is classified using unsupervised learning methods. For emotion happy prominent activity is shown in left side in case of male subjects than in female subjects. From the clusters, among male and female, the regions with high intensity are identified. In high frequency the centroid of happy is at 218.1288,288.1238, sad is 248.272,255.134 and fear is 205.93,286.959 for male subjects and for female subjects centroids of happy is 233.875, 277.4625, sad is 248.884, 245.5 and fear is 203.536, 293.796.
Cite this Research Publication : R. Chinmayi et al., "Impact of Gender Difference in Affective States," 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Madurai, India, 2018, pp. 1-5, doi: 10.1109/ICCIC.2018.8782383.