A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory-Reference-Cited by-同舟云学术

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A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory

Published:2018-10-31 Issue:1 Volume:14 Page:
ISSN:1744-9081
Container-title:Behavioral and Brain Functions
language:en
Short-container-title:Behav Brain Funct

Author:

Zangeneh Soroush Morteza,Maghooli Keivan,Setarehdan Seyed Kamaledin,Nasrabadi Ali Motie

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Biological Psychiatry,Cognitive Neuroscience,General Medicine

Link

http://link.springer.com/content/pdf/10.1186/s12993-018-0149-4.pdf

Reference67 articles.

1. Koelstra S, Muhl C, Soleymani M, Lee JS, Yazdani A, Ebrahimi T, Patras I. Deap: a database for emotion analysis; using physiological signals. IEEE Trans Affect Comput. 2012;3(1):18–31.

2. Yazdani A, Lee JS, Ebrahimi T. Implicit emotional tagging of multimedia using EEG signals and brain computer interface. In: Proceedings of the first SIGMM workshop on Social media. New York: ACM; 2009. p. 81–88.

3. Ekman P, Friesen WV, O’sullivan M, Chan A, Diacoyanni-Tarlatzis I, Heider K, Scherer K. Universals and cultural differences in the judgments of facial expressions of emotion. J Pers Soc Psychol. 1987;53(4):712.

4. Calvo RA, D’Mello S. Affect detection: an interdisciplinary review of models, methods, and their applications. IEEE Trans Affect Comput. 2010;1(1):18–37.

5. Kim J, André E. Emotion recognition based on physiological changes in music listening. IEEE Trans Pattern Anal Mach Intell. 2008;30(12):2067–83.

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