Emotion recognition based on the sample entropy of EEG

• Published in: Bio-medical materials and engineering Vol. 24; no. 1; pp. 1185 - 1192
• Main Authors: Jie, Xiang, Cao, Rui, Li, Li
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2014
• Subjects: Algorithms; Arousal; Brain-Computer Interfaces; Databases, Factual; Electroencephalography; Emotions; Entropy; Humans; Music; Reproducibility of Results; Signal Processing, Computer-Assisted; Support Vector Machine; brain computer interface; Emotion recognition; SVM; EEG; sample entropy

A sample entropy (SampEn)-based emotion recognition approach was presented. The SampEn results of notable EEG channels screened by K-S test were fed to the support vector machine (SVM)-weight classifier for training, after which it was applied to two emotion recognition tasks. One is to distinguish...