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Título : | Facial Emotion Analysis in Down's syndrome children in classroom |
Autor : | Torres Carrion, P. |
Palabras clave : | Down Syndrome Emotion Affective Computing AI Digital Learning |
Fecha de publicación : | 7-sep-2015 |
Editorial : | ACM International Conference Proceeding Series |
Resumen : | 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. |
URI : | http://dspace.utpl.edu.ec/handle/123456789/18880 |
ISSN : | 978-1-4503-3463-1 |
Otros identificadores : | http://dx.doi.org/10.1145/2829875.2829882 |
Aparece en las colecciones: | Artículos de revistas Científicas |
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