Real-time emotion recognition system with multiple physiological signals-Reference-Cited by-同舟云学术

Real-time emotion recognition system with multiple physiological signals

Published:2019 Issue:4 Volume:13 Page:JAMDSM0075-JAMDSM0075
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

ZHUANG Jyun-Rong¹,GUAN Ya-Jing¹,NAGAYOSHI Hayato¹,MURAMATSU Keiichi²,WATANUKI Keiichi²,TANAKA Eiichiro¹

Affiliation:

1. Graduate School of Information, Production and Systems, Waseda University

2. Graduate School of Science and Engineering, Saitama University

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/13/4/13_2019jamdsm0075/_pdf

Reference28 articles.

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2. Agrafioti, F., Hatzinakos, D., Anderson, A. K., ECG pattern analysis for emotion detection. IEEE Transactions on Affective Computing, Vol. 3, Issue 1 (2012), pp. 102-115.

3. Andreassi, J. L., Psychophysiology: human behavior and physiological response, Lawrence Erlbaum Associates, 4^th Edition (2000), New Jersey.

4. Bradley, M. M., Lang, P. J., Measuring emotion: the self-assessment manikin and the semantic differential, Journal of Behavior Therapy and Experimental Psychiatry, Vol. 25, Issue 1 (1994), pp. 49-59.

5. Emotiv Inc., EMOTIV EPOC+ 14 channel mobile EEG (online), available from < https://www.emotiv.com/ >, (accessed on 31 August 2018).

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