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Emotion classification based on brain wave: a survey
by
Zhang, Jianming
, Chao, Han-Chieh
, Li, Ting-Mei
in
Artificial Intelligence
/ Brain
/ Classification
/ Communications Engineering
/ Computer Science
/ Computer Systems Organization and Communication Networks
/ Emotions
/ Human-computer interaction
/ Information Systems and Communication Service
/ Information Systems Applications (incl.Internet)
/ Networks
/ Review
/ User Interfaces and Human Computer Interaction
2019
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Emotion classification based on brain wave: a survey
by
Zhang, Jianming
, Chao, Han-Chieh
, Li, Ting-Mei
in
Artificial Intelligence
/ Brain
/ Classification
/ Communications Engineering
/ Computer Science
/ Computer Systems Organization and Communication Networks
/ Emotions
/ Human-computer interaction
/ Information Systems and Communication Service
/ Information Systems Applications (incl.Internet)
/ Networks
/ Review
/ User Interfaces and Human Computer Interaction
2019
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Do you wish to request the book?
Emotion classification based on brain wave: a survey
by
Zhang, Jianming
, Chao, Han-Chieh
, Li, Ting-Mei
in
Artificial Intelligence
/ Brain
/ Classification
/ Communications Engineering
/ Computer Science
/ Computer Systems Organization and Communication Networks
/ Emotions
/ Human-computer interaction
/ Information Systems and Communication Service
/ Information Systems Applications (incl.Internet)
/ Networks
/ Review
/ User Interfaces and Human Computer Interaction
2019
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Journal Article
Emotion classification based on brain wave: a survey
2019
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Overview
Brain wave emotion analysis is the most novel method of emotion analysis at present. With the progress of brain science, it is found that human emotions are produced by the brain. As a result, many brain-wave emotion related applications appear. However, the analysis of brain wave emotion improves the difficulty of analysis because of the complexity of human emotion. Many researchers used different classification methods and proposed methods for the classification of brain wave emotions. In this paper, we investigate the existing methods of brain wave emotion classification and describe various classification methods.
Publisher
Springer Berlin Heidelberg,Korea Information Processing Society, Computer Software Research Group
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