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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Torres Carrion, P. | es_ES |
dc.date.accessioned | 2017-06-16T22:02:32Z | - |
dc.date.available | 2015-06-15 | es_ES |
dc.date.available | 2017-06-16T22:02:32Z | - |
dc.date.issued | 2015-09-07 | es_ES |
dc.date.submitted | 07/09/2015 | es_ES |
dc.identifier | http://dx.doi.org/10.1145/2829875.2829882 | es_ES |
dc.identifier.issn | 978-1-4503-3463-1 | es_ES |
dc.identifier.other | http://dx.doi.org/10.1145/2829875.2829882 | es_ES |
dc.identifier.uri | http://dspace.utpl.edu.ec/handle/123456789/18880 | - |
dc.description.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. | es_ES |
dc.language | Inglés | es_ES |
dc.subject | Down Syndrome | es_ES |
dc.subject | Emotion | es_ES |
dc.subject | Affective Computing | es_ES |
dc.subject | AI | es_ES |
dc.subject | Digital Learning | es_ES |
dc.title | Facial Emotion Analysis in Down's syndrome children in classroom | es_ES |
dc.type | Article | es_ES |
dc.publisher | ACM International Conference Proceeding Series | es_ES |
Appears in Collections: | Artículos de revistas Científicas |
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