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Title:
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Towards a lightweight adaptative multicomponential affective recognition system
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Author:
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Navarro García, Andrés
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Other authors:
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Gil Iranzo, Rosa María; Universitat de Lleida. Escola Politècnica Superior |
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Notes:
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As 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. |
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Subject(s):
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-Emociones
-Reconocimiento
-Affective computing
-Facial expression recognition
-Computational model of emotion
-Interacció home-ordinador
-Emocions i cognició
-Emocions -- Simulació per ordinador
-Reconeixement facial (Informàtica) |
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Rights:
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cc-by-nc-nd
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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Document type:
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masterThesis |
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