Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이현구 | - |
dc.contributor.author | 김동주 | - |
dc.date.accessioned | 2018-03-07T04:21:42Z | - |
dc.date.available | 2018-03-07T04:21:42Z | - |
dc.date.created | 2018-02-26 | - |
dc.date.issued | 2012-03 | - |
dc.identifier.citation | (사)디지털산업정보학회 논문지, v.8, no.1, pp.29 - 40 | - |
dc.identifier.issn | 1738-6667 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/5907 | - |
dc.description.abstract | A challenging research issue that has been one of growing importance to those working in human-computer interaction are to endow a machine with an emotional intelligence. Thus,emotion recognition technology plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between human and computer. In this paper, we propose the multimodal emotion recognition system using face and speech to improve recognition performance. The distance measurement of the face-based emotion recognition is calculated by 2D-PCA of MCS-LBP image and nearest neighbor classifier, and also the likelihood measurement is obtained by Gaussian mixture model algorithm based on pitch and mel-frequency cepstral coefficient features in speech-based emotion recognition. The individual matching scores obtained from face and speech are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. Through experimental results, the proposed method exhibits improved recognition accuracy of about 11.25% to 19.75% when compared to the most uni-modal approach. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective. | - |
dc.language | Korean | - |
dc.publisher | (사)디지털산업정보학회 | - |
dc.title | 얼굴영상과 음성을 이용한 멀티모달 감정인식 | - |
dc.title.alternative | Multimodal Emotion Recognition using Face Image and Speech | - |
dc.type | Article | - |
dc.type.local | Article(Domestic) | - |
dc.type.rims | ART | - |
dc.description.journalClass | 2 | - |
dc.citation.publicationname | (사)디지털산업정보학회 논문지 | - |
dc.identifier.kciid | ART001647893 | - |
dc.contributor.nonIdAuthor | 이현구 | - |
dc.contributor.nonIdAuthor | 김동주 | - |
dc.identifier.citationVolume | 8 | - |
dc.identifier.citationNumber | 1 | - |
dc.identifier.citationStartPage | 29 | - |
dc.identifier.citationEndPage | 40 | - |
dc.identifier.citationTitle | (사)디지털산업정보학회 논문지 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | 이현구 | - |
dc.contributor.affiliatedAuthor | 김동주 | - |
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