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CEPP: Perceiving the Emotional State of the User Based on Body Posture

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dc.contributor.authorLee, Suk Kyu-
dc.contributor.authorBae, Mungyu-
dc.contributor.authorLee, Woonghee-
dc.contributor.authorKim, Hwangnam-
dc.date.accessioned2021-09-03T00:19:27Z-
dc.date.available2021-09-03T00:19:27Z-
dc.date.created2021-06-19-
dc.date.issued2017-10-
dc.identifier.issn2076-3417-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/81980-
dc.description.abstractMuch research has been conducted in the area of face and gesture recognition in order to classify one's emotional state. Surprisingly, utilizing computerized algorithms which recognize emotional conditions based on body postures has not yet been systematically developed. In this paper, we propose a novel method, Computerized Emotion Perception based on Posture (CEPP), to determine the emotional state of the user. This method extracts features from body postures and estimates the emotional state by computing a similarity distance. With the proposed algorithm, we will provide new insights into automatically recognizing one's emotional state.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMDPI-
dc.subjectRECOGNITION-
dc.titleCEPP: Perceiving the Emotional State of the User Based on Body Posture-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Hwangnam-
dc.identifier.doi10.3390/app7100978-
dc.identifier.scopusid2-s2.0-85029793526-
dc.identifier.wosid000414457800016-
dc.identifier.bibliographicCitationAPPLIED SCIENCES-BASEL, v.7, no.10-
dc.relation.isPartOfAPPLIED SCIENCES-BASEL-
dc.citation.titleAPPLIED SCIENCES-BASEL-
dc.citation.volume7-
dc.citation.number10-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusRECOGNITION-
dc.subject.keywordAuthoremotion recognition-
dc.subject.keywordAuthorbody posture-
dc.subject.keywordAuthorfeature extraction-
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공과대학 (전기전자공학부)
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