A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device

Mikito Ogino, Yasue Mitsukura

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

1 Citation (Scopus)

Abstract

A product assessment is the important process to develop a new product. After a new product has been developed, the product developers hire ordinary people and give an interview to them. In recent years, a new method called 'neuromarketing' is used for product evaluation. However, it is difficult to use the conventional measurement devices and they are mainly used in an experimental environment. In this paper, we developed the model to estimate human emotions, especially valence by using single-channel EEG device. We used the fast Fourier transform, the robust scaling and the support vector regression to predict the valence score. The parameters of the methods were selected by using the grid search and the genetic algorithm. The designed model was evaluated by the correlation coefficient and the classification accuracy of two classes between predicted valence data and labeled valence data. The scores were 0.36 and 72.40%.

Original languageEnglish
Title of host publication2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1043-1048
Number of pages6
ISBN (Electronic)9784907764609
DOIs
Publication statusPublished - 2018 Oct 15
Event57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018 - Nara, Japan
Duration: 2018 Sep 112018 Sep 14

Other

Other57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018
CountryJapan
CityNara
Period18/9/1118/9/14

Fingerprint

electroencephalography
Mobile Applications
Electroencephalography
estimating
valence
products
Fast Fourier transforms
Genetic algorithms
emotions
Support Vector Regression
photographic developers
Fast Fourier transform
genetic algorithms
correlation coefficients
Correlation coefficient
regression analysis
grids
Electroencephalogram
Emotion
Genetic Algorithm

Keywords

  • EEG
  • Emotion
  • Mobile application
  • Valence

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

Cite this

Ogino, M., & Mitsukura, Y. (2018). A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device. In 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018 (pp. 1043-1048). [8492583] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2018.8492583

A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device. / Ogino, Mikito; Mitsukura, Yasue.

2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1043-1048 8492583.

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

Ogino, M & Mitsukura, Y 2018, A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device. in 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018., 8492583, Institute of Electrical and Electronics Engineers Inc., pp. 1043-1048, 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018, Nara, Japan, 18/9/11. https://doi.org/10.23919/SICE.2018.8492583
Ogino M, Mitsukura Y. A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device. In 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1043-1048. 8492583 https://doi.org/10.23919/SICE.2018.8492583
Ogino, Mikito ; Mitsukura, Yasue. / A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device. 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1043-1048
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