Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/jspui/handle/123456789/18880
Title: Facial Emotion Analysis in Down's syndrome children in classroom
Authors: Torres Carrion, P.
Keywords: Down Syndrome
Emotion
Affective Computing
AI
Digital Learning
metadata.dc.date.available: 2015-06-15
2017-06-16T22:02:32Z
Issue Date: 7-Sep-2015
Publisher: ACM International Conference Proceeding Series
Abstract: Sentiment 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.
metadata.dc.identifier.other: http://dx.doi.org/10.1145/2829875.2829882
URI: http://dspace.utpl.edu.ec/handle/123456789/18880
ISSN: 978-1-4503-3463-1
Other Identifiers: http://dx.doi.org/10.1145/2829875.2829882
Other Identifiers: http://dx.doi.org/10.1145/2829875.2829882
metadata.dc.language: Inglés
metadata.dc.type: Article
Appears in Collections:Artículos de revistas Científicas



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.