Inner Emotion Recognition Using Multi Bio-Signals

Jinho Shin; Junho Maeng; Deok Hwan Kim

doi:10.1109/ICCE-ASIA.2018.8552152

Inner Emotion Recognition Using Multi Bio-Signals

Jinho Shin, Junho Maeng, Deok Hwan Kim

Inha University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

This paper proposes inner emotion recognition method using multi bio-signal which combines EEG (Electroencephalogram), EMG (Electromyography) and EOG (Electrooculogram) signals. EEG signal was used for recognizing inner emotion, EMG and EOG signals for removing artifact. The acquired data were processed and five emotions were classified using SVM(Support Vector Machine) in terms of arousal and valence, respectively. The experimental results show that the recognition rate of using multimodal bio-signals is 16.8% higher than that of using only EEG signal.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538658079
DOIs	https://doi.org/10.1109/ICCE-ASIA.2018.8552152
State	Published - 28 Nov 2018
Event	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of Duration: 24 Jun 2018 → 26 Jun 2018

Publication series

Name	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Conference

Conference	2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Country/Territory	Korea, Republic of
City	JeJu
Period	24/06/18 → 26/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

EEG
EMG
EOG
Emotion Classification
Inner Emotion Recognition
Support Vector Machine

Access to Document

10.1109/ICCE-ASIA.2018.8552152

Cite this

Shin, J., Maeng, J., & Kim, D. H. (2018). Inner Emotion Recognition Using Multi Bio-Signals. In 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 Article 8552152 (2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-ASIA.2018.8552152

@inproceedings{8fd3598df35e481487c2d4a21e8febc2,

title = "Inner Emotion Recognition Using Multi Bio-Signals",

abstract = "This paper proposes inner emotion recognition method using multi bio-signal which combines EEG (Electroencephalogram), EMG (Electromyography) and EOG (Electrooculogram) signals. EEG signal was used for recognizing inner emotion, EMG and EOG signals for removing artifact. The acquired data were processed and five emotions were classified using SVM(Support Vector Machine) in terms of arousal and valence, respectively. The experimental results show that the recognition rate of using multimodal bio-signals is 16.8\% higher than that of using only EEG signal.",

keywords = "EEG, EMG, EOG, Emotion Classification, Inner Emotion Recognition, Support Vector Machine",

author = "Jinho Shin and Junho Maeng and Kim, \{Deok Hwan\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 ; Conference date: 24-06-2018 Through 26-06-2018",

year = "2018",

month = nov,

day = "28",

doi = "10.1109/ICCE-ASIA.2018.8552152",

language = "English",

series = "2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018",

address = "United States",

}

Shin, J, Maeng, J & Kim, DH 2018, Inner Emotion Recognition Using Multi Bio-Signals. in 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018., 8552152, 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, JeJu, Korea, Republic of, 24/06/18. https://doi.org/10.1109/ICCE-ASIA.2018.8552152

Inner Emotion Recognition Using Multi Bio-Signals. / Shin, Jinho; Maeng, Junho; Kim, Deok Hwan.
2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8552152 (2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Inner Emotion Recognition Using Multi Bio-Signals

AU - Shin, Jinho

AU - Maeng, Junho

AU - Kim, Deok Hwan

PY - 2018/11/28

Y1 - 2018/11/28

N2 - This paper proposes inner emotion recognition method using multi bio-signal which combines EEG (Electroencephalogram), EMG (Electromyography) and EOG (Electrooculogram) signals. EEG signal was used for recognizing inner emotion, EMG and EOG signals for removing artifact. The acquired data were processed and five emotions were classified using SVM(Support Vector Machine) in terms of arousal and valence, respectively. The experimental results show that the recognition rate of using multimodal bio-signals is 16.8% higher than that of using only EEG signal.

AB - This paper proposes inner emotion recognition method using multi bio-signal which combines EEG (Electroencephalogram), EMG (Electromyography) and EOG (Electrooculogram) signals. EEG signal was used for recognizing inner emotion, EMG and EOG signals for removing artifact. The acquired data were processed and five emotions were classified using SVM(Support Vector Machine) in terms of arousal and valence, respectively. The experimental results show that the recognition rate of using multimodal bio-signals is 16.8% higher than that of using only EEG signal.

KW - EEG

KW - EMG

KW - EOG

KW - Emotion Classification

KW - Inner Emotion Recognition

KW - Support Vector Machine

UR - https://www.scopus.com/pages/publications/85060031057

U2 - 10.1109/ICCE-ASIA.2018.8552152

DO - 10.1109/ICCE-ASIA.2018.8552152

M3 - Conference contribution

AN - SCOPUS:85060031057

T3 - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

BT - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Y2 - 24 June 2018 through 26 June 2018

ER -

Inner Emotion Recognition Using Multi Bio-Signals

Abstract

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Keywords

Access to Document

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