Human emotions classification using bag-of- words method on single electrode brain computer interface (CROSBI ID 670580)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Seric, Ljiljana ; Bogunovic, Pero
engleski
Human emotions classification using bag-of- words method on single electrode brain computer interface
In this paper we present a human emotions classification technique based on EEG signals from single electrode. We designed an EEG experiment in which we collected training data. Applying the Daubechies 8 wavelet (db8) delta, theta, alpha, beta and gamma wave signal are obtained by decomposition and used as codewords for Bag-of-Words model. We represented each signal with its codewords histogram and implemented classifier base on minimum distance. Results show that EEG signals induced watching horror and relaxing video clips can be classified with average classification rate of 75% using minimum distance classifier.
EEG, Wavelet method, Bag of words, histogram
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Podaci o prilogu
x-5.
2017.
objavljeno
10.23919/softcom.2017.8115544
Podaci o matičnoj publikaciji
2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
predavanje
21.09.2017-23.09.2017
Split, Hrvatska