Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/jspui/handle/123456789/18880
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dc.contributor.authorTorres Carrion, P.es_ES
dc.date.accessioned2017-06-16T22:02:32Z-
dc.date.available2015-06-15es_ES
dc.date.available2017-06-16T22:02:32Z-
dc.date.issued2015-09-07es_ES
dc.date.submitted07/09/2015es_ES
dc.identifierhttp://dx.doi.org/10.1145/2829875.2829882es_ES
dc.identifier.issn978-1-4503-3463-1es_ES
dc.identifier.otherhttp://dx.doi.org/10.1145/2829875.2829882es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/18880-
dc.description.abstractSentiment analysis has allowed a degree of machines "intelligent" interaction, although its development is still at an early stage. This document presents the progress of the research project in this line, with a particular focus on children with Down Syndrome (DS). Their singularities are considered through personalized learning resources, and interaction with Kinect HCI, and the Tango:H platform. In this first moment we made an initial interaction, resulting in video images of the interaction, and a subjective assessment of emotions through one extension of EMODIANA. The next step will be the comparison of the patterns of facial recognition applied in people without SD, to identify whether there are significant differences.es_ES
dc.languageIngléses_ES
dc.subjectDown Syndromees_ES
dc.subjectEmotiones_ES
dc.subjectAffective Computinges_ES
dc.subjectAIes_ES
dc.subjectDigital Learninges_ES
dc.titleFacial Emotion Analysis in Down's syndrome children in classroomes_ES
dc.typeArticlees_ES
dc.publisherACM International Conference Proceeding Serieses_ES
Appears in Collections:Artículos de revistas Científicas



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