DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Dae-Jin | ko |
dc.contributor.author | Lee, Sang-Wan | ko |
dc.contributor.author | Bien, Zeungnam | ko |
dc.date.accessioned | 2018-07-24T02:34:17Z | - |
dc.date.available | 2018-07-24T02:34:17Z | - |
dc.date.created | 2018-07-11 | - |
dc.date.issued | 2005-08 | - |
dc.identifier.citation | 14th IEEE Workshop on Robot and Human Interactive Communication, RO-MAN 2005, pp.661 - 666 | - |
dc.identifier.uri | http://hdl.handle.net/10203/244262 | - |
dc.description.abstract | The facial expression recognition (FER) is one of the biosignal-based recognition techniques which attract a lot of attention recently. To deal with its complex characteristics effectively, we adopt the soft computing techniques (SCT) such as fuzzy logic, neural networks, genetic algorithm and/or rough set technique. In this paper, we overview the state-of-the-art reports on FER in view of SCT, and introduce some interesting works done by our group on the SCT-based facial emotional expression recognition. Specifically, 1) Fuzzy observer-based approach, 2) personalized FER system based on fuzzy neural networks, and 3) Gabor wavelet neural networks are briefly discussed. © 2005 IEEE. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Facial emotional expression recognition with soft computing techniques | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 661 | - |
dc.citation.endingpage | 666 | - |
dc.citation.publicationname | 14th IEEE Workshop on Robot and Human Interactive Communication, RO-MAN 2005 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Marriott at Vanderbilt, Nashville, Tennessee | - |
dc.identifier.doi | 10.1109/ROMAN.2005.1513855 | - |
dc.contributor.localauthor | Lee, Sang-Wan | - |
dc.contributor.nonIdAuthor | Kim, Dae-Jin | - |
dc.contributor.nonIdAuthor | Bien, Zeungnam | - |
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