DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Sangwon | ko |
dc.contributor.author | Jeon, Heesik | ko |
dc.contributor.author | Yang, Taeyeun | ko |
dc.contributor.author | Song, Junehwa | ko |
dc.date.accessioned | 2020-02-11T01:20:27Z | - |
dc.date.available | 2020-02-11T01:20:27Z | - |
dc.date.created | 2020-02-11 | - |
dc.date.issued | 2016-11 | - |
dc.identifier.citation | 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016, pp.342 - 343 | - |
dc.identifier.uri | http://hdl.handle.net/10203/272225 | - |
dc.description.abstract | In 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.language | English | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Poster Abstract: Emotion analysis from context understanding | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-85007040223 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 342 | - |
dc.citation.endingpage | 343 | - |
dc.citation.publicationname | 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Stanford, United States | - |
dc.identifier.doi | 10.1145/2994551.2996697 | - |
dc.contributor.localauthor | Song, Junehwa | - |
dc.contributor.nonIdAuthor | Choi, Sangwon | - |
dc.contributor.nonIdAuthor | Jeon, Heesik | - |
dc.contributor.nonIdAuthor | Yang, Taeyeun | - |
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