HIGHLIGHTS
- who: Li Xian and collaborators from the Faculty of Information Technology, Beijing University of Technology, Beijing, China have published the research: Channel Division Based Multiple Classifiers Fusion for Emotion Recognition Using EEG signals, in the Journal: (JOURNAL)
- what: The authors propose an approach of emotion recognition using EEG signals based on the weighted fusion of multiple base classifiers. The authors used an open database for emotion analysis using physiological signals, DEAP, proposed by Koelstra et_a . In this paper, SVM integrated in the LibSVM librar is applied to construct channel base classifiers using 10-fold cross . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.