Poster Abstract: Emotion analysis from context understanding

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dc.contributor.authorChoi, Sangwonko
dc.contributor.authorJeon, Heesikko
dc.contributor.authorYang, Taeyeunko
dc.contributor.authorSong, Junehwako
dc.date.accessioned2020-02-11T01:20:27Z-
dc.date.available2020-02-11T01:20:27Z-
dc.date.created2020-02-11-
dc.date.issued2016-11-
dc.identifier.citation14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016, pp.342 - 343-
dc.identifier.urihttp://hdl.handle.net/10203/272225-
dc.description.abstractIn this poster, we propose an emotion analysis method using context information gathered from sensor data. We observe that there are certain situations in which a specific emotion is strongly felt, i.e. dominant. We develop a "scenario-based" approach that focuses on creating such situations with dominant emotion, using a set of context information from sensor data. These "scenarios" undergo validation process through a preliminary survey. Finally, an application prototype detects these scenarios to return the analyzed emotion to the user.-
dc.languageEnglish-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titlePoster Abstract: Emotion analysis from context understanding-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85007040223-
dc.type.rimsCONF-
dc.citation.beginningpage342-
dc.citation.endingpage343-
dc.citation.publicationname14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationStanford, United States-
dc.identifier.doi10.1145/2994551.2996697-
dc.contributor.localauthorSong, Junehwa-
dc.contributor.nonIdAuthorChoi, Sangwon-
dc.contributor.nonIdAuthorJeon, Heesik-
dc.contributor.nonIdAuthorYang, Taeyeun-
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CS-Conference Papers(학술회의논문)
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