EEG-Based Emotion Recognition Using Logistic Regression with Gaussian Kernel and Laplacian Prior and Investigation of Critical Frequency Bands

EEG-Based Emotion Recognition Using Logistic Regression with Gaussian Kernel and Laplacian Prior and Investigation of Critical Frequency Bands

Emotion plays a nuclear part in human attention, decision-making, and communication. Electroencephalogram (EEG)-based emotion recognition has developed a lot due to the application of Brain-Computer Interface (BCI) and its effectiveness compared to body expressions and other physiological signals. D...

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Bibliographic Details
Main Authors: Chao Pan, Cheng Shi, Honglang Mu, Jie Li, Xinbo Gao
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
emotion recognition
electroencephalogram (eeg)
logistic regression
gaussian kernel
laplacian prior
affective computing
Online Access:https://www.mdpi.com/2076-3417/10/5/1619

Internet

https://www.mdpi.com/2076-3417/10/5/1619

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