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dc.contributorGil Iranzo, Rosa María
dc.contributorUniversitat de Lleida. Escola Politècnica Superior
dc.contributor.authorNavarro García, Andrés
dc.description.abstractAs part of the Affective Computing research field, the development of automatic affective recognition systems can enhance human-computer interactions by allowing the creation of interfaces that react to the user's emotional state. To that end, this Master Thesis brings affect recognition to nowadays most used human computer interface, mobile devices, by developing a facial expression recognition system able to perform detection under the difficult conditions of viewing angle and illumination that entails the interaction with a mobile device. Moreover, this Master Thesis proposes to combine emotional features detected from expression with contextual information of the current situation, to infer a complex and extensive emotional state of the user. Thus, a cognitive computational model of emotion is defined that provides a multicomponential affective state of the user through the integration of the detected emotional features into appraisal processes. In order to account for individual differences in the emotional experience, these processes can be adapted to the culture and personality of the user.ca_ES
dc.format.extent56 p.ca_ES
dc.subjectAffective computingca_ES
dc.subjectFacial expression recognitionca_ES
dc.subjectComputational model of emotionca_ES
dc.subject.otherInteracció home-ordinadorca_ES
dc.subject.otherEmocions i cognicióca_ES
dc.subject.otherEmocions -- Simulació per ordinadorca_ES
dc.subject.otherReconeixement facial (Informàtica)ca_ES
dc.titleTowards a lightweight adaptative multicomponential affective recognition systemca_ES

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