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dc.contributor.authorArias Tapia, S.es_ES
dc.contributor.authorTorres Diaz, J.es_ES
dc.contributor.authorRiofrio Calderon, G.es_ES
dc.contributor.authorGomez Alvarado, H.es_ES
dc.contributor.authorGuaman Bastidas, F.es_ES
dc.contributor.authorBarbosa Corbacho, J.es_ES
dc.contributor.authorGarcia Samaniego, J.es_ES
dc.contributor.authorGonzalez Eras, A.es_ES
dc.contributor.authorValdiviezo Diaz, P.es_ES
dc.contributor.authorRatter, R.es_ES
dc.contributor.authorReategui Rojas, R.es_ES
dc.date.accessioned2017-06-16T22:02:54Z-
dc.date.available2014-08-20es_ES
dc.date.available2017-06-16T22:02:54Z-
dc.date.issued2014-01-01es_ES
dc.date.submitted01/11/2014es_ES
dc.identifierdoies_ES
dc.identifier.isbn3029743es_ES
dc.identifier.issn9.78E+17es_ES
dc.identifier.otherdoies_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/19079-
dc.description.abstractThe analysis of emotions in patients with Alzheimer�s disease is a field that has been extensively studied in recent years with the purpose of tracking the progress of the disease. This study shows a first idea to contribute with a method to retrieve not only simple but complex emotions from patients, which we will call emotion pattern. Preliminary results showed that it is possible to identify the emotions of depression and guilt, which are typical in this kind of patients. Our work is in development, and aims to identify not only basic emotions but complex emotions through semantic tools, in order to identify complex patterns which facilitate the tasks of caregivers of Alzheimer�s patients.es_ES
dc.languageIngléses_ES
dc.subjectAlzheimer�s diseasees_ES
dc.subjectEmotionses_ES
dc.subjectGSPes_ES
dc.subjectOntologieses_ES
dc.titleFirst contribution to complex emotion recognition in patients with alzheimer�s diseasees_ES
dc.typeArticlees_ES
dc.publisherLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)es_ES
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