Emotion Judgment System by EEG Based on Concept Base of EEG Features

doi:10.3969/j.issn.1673-5188.2017.S2.002

ZTE Communications ›› 2017, Vol. 15 ›› Issue (S2): 11-17.DOI: 10.3969/j.issn.1673-5188.2017.S2.002

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Emotion Judgment System by EEG Based on Concept Base of EEG Features

Mayo Morimoto¹, Misako Imono², Seiji Tsuchiya³, Hirokazu Watabe³

1. Graduate School of Science and Engineering, Doshisha University, Kyo-Tanabe City 6100394, Japan
2. Daido University, Nagoya City 4578530, Japan
3. Doshisha University, Kyo?Tanabe City 6100394, Japan

Received:2017-08-09 Online:2017-12-25 Published:2020-04-16
About author:Mayo Morimoto (eup1104@mail4.doshisha.ac.jp) received the Bachelor of Engineering from Faculty of Science and Engineering, Doshisha University, Japan in 2012 and the Master of Engineering from Graduate School of Science and Engineering, Doshisha University in 2014. She joined NEC Corporation in 2014. She has been studying for a doctorial degree in information engineering at the Graduate School of Science and Engineering, Doshisha University from 2015. Her research mainly focuses in EEG analysis.|Misako Imono (m-imono@daido-it.ac.jp) received the Bachelor of Engineering from Faculty of Engineering, Doshisha University, Japan in 2009. She received the Master of Engineering from Graduate School of Science and Engineering, Doshisha University in 2011. She received Ph.D. from Graduate School of Science and Engineering, Doshisha University in 2014. She was a research associate in Faculty of Science and Engineering, Doshisha University in 2015. She is a senior lecturer in Faculty of Information System, Daido University, Japan from 2016. Her research mainly focuses in concept processing.|Seiji Tsuchiya (stsuchiy@mail.doshisha.ac.jp) received the Bachelor of Engineering from Faculty of Engineering, Doshisha University, Japan in 2000. He received the Master of Engineering from Graduate School of Engineering, Doshisha University in 2002. He entered Sanyo Electric Co., Ltd in 2002. He received his Ph.D. from Graduate School of Engineering, Doshisha University in 2007. He was an assistant professor in Bulletin of Institute of Technology and Science the University of Tokushima, Japan. He was an assistant professor in Faculty of Science and Engineering, Doshisha University in 2009, an associate professor in 2011, and a professor in 2017 there. His research interests include knowledge processing, concept processing, and semantic interpretation.|Hirokazu Watabe (hwatabe@mail.doshisha.ac.jp) received the Bachelor of Engineering from Faculty of Engineering in Hokkaido University, Japan in 1983. He received the Master of Engineering from Graduate School of Engineering, Hokkaido University in 1985. He dropout Ph.D. course of Graduate School of Engineering, Hokkaido University in 1987. He was an research associate in Kyoto University, Japan in 1987. He was a senior lecturer in Faculty of Engineering, Doshisha University, Japan in 1994, an assistant professor in 1998, and a professor in 2006 there. His research interests include evolutionary computation method, computer vision, concept processing.

Abstract

Abstract:

This paper proposes an emotion judgment system by using an electroencephalogram (EEG) feature concept base with premise of noises included. This method references the word concept association system, which associates one word with other plural words and decides the relationship between several words. In this proposed emotion judgment system, the source EEG is input and 42 EEG features are constructed by EEG data; the data are then calculated by spectrum analysis and normalization. All 2945 EEG data of 4 emotions in the EEG data emotion knowledge base are calculated by the degree of association for getting the nearest EEG data from the EEG feature concept base constructed by 2844 concepts. From the experiment, the accuracy of the proposed system was 55.9%, which was higher than the support vector machine (SVM) method. As this result, the chain structured feature of the EEG feature concept base and the efficiency by the calculation of degree of association for EEG data help reduce the influence of the noise.

Key words: electroencephalogram, EEG, emotion judgment, concept base, calculation of degree of association

Mayo Morimoto, Misako Imono, Seiji Tsuchiya, Hirokazu Watabe. Emotion Judgment System by EEG Based on Concept Base of EEG Features[J]. ZTE Communications, 2017, 15(S2): 11-17.

Figures/Tables 5

Figure 1. Emotion Judgment System by EEG.

Figure 2. Spectrum analysis of the source EEGs.

Figure 3. EEG measurement at 14 locations, conforming to the International 10/20 System.

Figure 4. Process for conceptualization of EEG features.

Figure 5. Comparison of accuracy of the emotion judgment methods.

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Emotion Judgment System by EEG Based on Concept Base of EEG Features

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