Naslov
Human emotions classification using bag-of- words method on single electrode brain computer interface

Autori
Seric, Ljiljana ; Bogunovic, Pero

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) / - : Institute of Electrical and Electronics Engineers (IEEE), 2017

Skup
2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

Mjesto i datum
Split, Hrvatska, 21.09.2017. - 23.09.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
EEG, Wavelet method, Bag of words, histogram

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA