Emotion Recognition from Single-Trial EEG Based on Kernel Fisher’s Emotion Pattern and Imbalanced Quasiconformal Kernel Support Vector Machine

Emotion Recognition from Single-Trial EEG Based on Kernel Fisher’s Emotion Pattern and Imbalanced Quasiconformal Kernel Support Vector Machine

Electroencephalogram-based emotion recognition (EEG-ER) has received increasing attention in the fields of health care, affective computing, and brain-computer interface (BCI). However, satisfactory ER performance within a bi-dimensional and non-discrete emotional space using single-trial EEG data...

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Bibliographic Details
Main Authors: Yi-Hung Liu, Chien-Te Wu, Wei-Teng Cheng, Yu-Tsung Hsiao, Po-Ming Chen, Jyh-Tong Teng
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Sensors
Subjects:
EEG
emotion recognition
health care
brain-computer interface
support vector machine
Online Access:http://www.mdpi.com/1424-8220/14/8/13361

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http://www.mdpi.com/1424-8220/14/8/13361

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