Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/53038

TitleHappiness and sadness recognition system: preliminary results with an Intel RealSense 3D Sensor
Author(s)Silva, Vinicius Corrêa Alves
Soares, Filomena
Esteves, João Sena
Figueiredo, Joana Sofia Campos
Santos, Cristina
Pereira, Ana Paula da Silva
KeywordsHappiness and sadness recognition system
Intel RealSense
Support vector machine
Issue date2017
PublisherSpringer International Publishing
JournalLecture Notes in Electrical Engineering
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/53038
ISBN978-3-319-43670-8
DOI10.1007/978-3-319-43671-5_33
ISSN1876-1100
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-319-43671-5_33
Peer-Reviewedyes
AccessRestricted access (Author)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
CIEd - Textos em volumes de atas de encontros científicos nacionais e internacionais

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