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- W4281382016 abstract "A novel methodology to analyze the visual effect on emotion is presented in this work. Two publicly available datasets were used and fed through an artificial neural network to see the effect of a pre-neutral state on a neutral state. Three categories of photos (smile, sad, neutral) from the International Affective Picture System – IAPS collection were presented while electroencephalogram (EEG) was recorded which is publicly available. Rhythm analysis was done and feedforward artificial neural network was trained by subject independent EEG data with a minimum mean square error of 0.53867. Finally, the effect of the smile and the sad session on the neutral session was analyzed and our finding is that there is an effect of the previous state on the neutral state for a certain time which could be helpful for fear and anxiety disorder patients." @default.
- W4281382016 created "2022-05-25" @default.
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- W4281382016 date "2022-02-26" @default.
- W4281382016 modified "2023-09-27" @default.
- W4281382016 title "Emotion state analysis by Electroencephalogram" @default.
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- W4281382016 doi "https://doi.org/10.1109/iciset54810.2022.9775894" @default.
- W4281382016 hasPublicationYear "2022" @default.
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