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https://hdl.handle.net/1822/53038
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Campo DC | Valor | Idioma |
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dc.contributor.author | Silva, Vinicius Corrêa Alves | por |
dc.contributor.author | Soares, Filomena | por |
dc.contributor.author | Esteves, João Sena | por |
dc.contributor.author | Figueiredo, Joana Sofia Campos | por |
dc.contributor.author | Santos, Cristina | por |
dc.contributor.author | Pereira, Ana Paula da Silva | por |
dc.date.accessioned | 2018-03-21T10:55:59Z | - |
dc.date.issued | 2017 | - |
dc.identifier.isbn | 978-3-319-43670-8 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.uri | https://hdl.handle.net/1822/53038 | - |
dc.description.abstract | Systems and devices that can recognize human affects have been in development for a considerable time. Facial features are usually extracted by using video data or a Microsoft Kinect sensor. The present paper proposes an emotion recognition system that uses the recent Intel RealSense 3D sensor, whose reliability and validity in the field of emotion recognition has not yet been studied. This preliminary work focus on happiness and sadness. The system extracts the user’s facial Action Units and head motion data. Then, it uses a Support Vector Machine to automatically classify the emotion expressed by the user. The results point out the adequacy of Intel RealSense for facial features extraction in emotion recognition systems as well as the importance of determining head motion when recognizing sadness. | por |
dc.description.sponsorship | The authors would like to express their acknowledgments to all students for their voluntary co-operation. This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. | por |
dc.language.iso | eng | por |
dc.publisher | Springer International Publishing AG | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
dc.rights | closedAccess | por |
dc.subject | Happiness and sadness recognition system | por |
dc.subject | Intel RealSense | por |
dc.subject | Support vector machine | por |
dc.title | Happiness and sadness recognition system: preliminary results with an Intel RealSense 3D Sensor | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-43671-5_33 | por |
oaire.citationStartPage | 385 | por |
oaire.citationEndPage | 395 | por |
oaire.citationVolume | 402 | por |
dc.date.updated | 2018-03-20T21:57:18Z | - |
dc.identifier.doi | 10.1007/978-3-319-43671-5_33 | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
sdum.export.identifier | 4590 | - |
sdum.journal | Lecture Notes in Electrical Engineering | por |
sdum.conferencePublication | CONTROLO 2016: proceedings of the 12th Portuguese Conference on Automatic Control | por |
Aparece nas coleções: | CIEd - Textos em volumes de atas de encontros científicos nacionais e internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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CONTROLO2016_paper_90.pdf Acesso restrito! | 640,12 kB | Adobe PDF | Ver/Abrir |