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Cited 3 time in webofscience Cited 4 time in scopus
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Emotion Recognition Algorithm Based on Neural Fuzzy Network and the Cloud Technology

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dc.contributor.authorZhang, Z.-
dc.contributor.authorLim, J.S.-
dc.date.available2020-02-28T10:46:05Z-
dc.date.created2020-02-12-
dc.date.issued2015-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10993-
dc.description.abstractEmotion recognition has been a popular topic of human-computer interaction and affective computing. In this paper, 2-D visual emotion recognition model is put forward which takes neural fuzzy network as the theoretical basis. The model is designed for make classification of four types of emotion-related voice signals. A high accuracy of 85% is realized by the model. It is noted that the model can identify sadness emotions effectively. The rate is up to as high as 100%. The algorithm is to be used for a cloud server. © 2015 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOfProceedings - 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2015-
dc.subjectAlgorithms-
dc.subjectCloud computing-
dc.subjectFuzzy inference-
dc.subjectFuzzy logic-
dc.subjectHuman computer interaction-
dc.subjectNeural networks-
dc.subjectAffective Computing-
dc.subjectCloud servers-
dc.subjectCloud technologies-
dc.subjectEmotion recognition-
dc.subjectNeural fuzzy networks-
dc.subjectNeuro-fuzzy network-
dc.subjectSpeech signals-
dc.subjectVoice signals-
dc.subjectSpeech recognition-
dc.titleEmotion Recognition Algorithm Based on Neural Fuzzy Network and the Cloud Technology-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000380398000101-
dc.identifier.doi10.1109/BWCCA.2015.112-
dc.identifier.bibliographicCitationProceedings - 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2015, pp.576 - 579-
dc.identifier.scopusid2-s2.0-84964930106-
dc.citation.endPage579-
dc.citation.startPage576-
dc.citation.titleProceedings - 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2015-
dc.contributor.affiliatedAuthorLim, J.S.-
dc.type.docTypeProceedings Paper-
dc.subject.keywordAuthorcloud server-
dc.subject.keywordAuthoremotion recognition algorithm-
dc.subject.keywordAuthorneuro-fuzzy network-
dc.subject.keywordAuthorspeech signal-
dc.subject.keywordPlusAlgorithms-
dc.subject.keywordPlusCloud computing-
dc.subject.keywordPlusFuzzy inference-
dc.subject.keywordPlusFuzzy logic-
dc.subject.keywordPlusHuman computer interaction-
dc.subject.keywordPlusNeural networks-
dc.subject.keywordPlusAffective Computing-
dc.subject.keywordPlusCloud servers-
dc.subject.keywordPlusCloud technologies-
dc.subject.keywordPlusEmotion recognition-
dc.subject.keywordPlusNeural fuzzy networks-
dc.subject.keywordPlusNeuro-fuzzy network-
dc.subject.keywordPlusSpeech signals-
dc.subject.keywordPlusVoice signals-
dc.subject.keywordPlusSpeech recognition-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClassscopus-
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