Emotion recognition of EEG underlying favourite music by support vector machine

Kevin C. Tseng, Bor-Shyh Lin, Chang Mu Han, Psi Shi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

This study aims to research the relationship between electroencephalography (EEG) at the prefrontal cortex (PFC) and emotion in the condition of different preference levels of music by applying a support vector machine (SVM). To achieve this, this study presents an EEG-based brain computer interface (BCI) music player, which can simultaneously analyse brain activities in real time and objectively provide therapists with physiological data for emotion detection in the experiment. The SVM result shows that more than 80% accuracy of elicited emotion based on 28 participants was analysed under the two factors of the frontal midline theta and alpha relation ratio. As such, it might suggest that significantly different stimuli are capable of enticing discernible EEG responses at frontal lobes, which is an indication of emotion and of providing an effective approach for application to multimedia with the abilities of EEG interpretation.

Original languageEnglish
Title of host publicationICOT 2013 - 1st International Conference on Orange Technologies
Pages155-158
Number of pages4
DOIs
StatePublished - 12 Jul 2013
Event1st International Conference on Orange Technologies, ICOT 2013 - Tainan, Taiwan
Duration: 12 Mar 201316 Mar 2013

Publication series

NameICOT 2013 - 1st International Conference on Orange Technologies

Conference

Conference1st International Conference on Orange Technologies, ICOT 2013
CountryTaiwan
CityTainan
Period12/03/1316/03/13

Keywords

  • EEG
  • emotion
  • support vector machine

Fingerprint Dive into the research topics of 'Emotion recognition of EEG underlying favourite music by support vector machine'. Together they form a unique fingerprint.

  • Cite this

    Tseng, K. C., Lin, B-S., Han, C. M., & Wang, P. S. (2013). Emotion recognition of EEG underlying favourite music by support vector machine. In ICOT 2013 - 1st International Conference on Orange Technologies (pp. 155-158). [6521181] (ICOT 2013 - 1st International Conference on Orange Technologies). https://doi.org/10.1109/ICOT.2013.6521181