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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Affective Tutoring System for Android Mobiles
verfasst von : Ramón Zatarain-Cabada, M. L. Barrón-Estrada, José Luis Olivares Camacho, Carlos A. Reyes-García
Erschienen in: Intelligent Computing Methodologies
Verlag: Springer International Publishing
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Detecting and responding to affective states may be more influential than intelligence for tutoring success. This paper presents a software system that recognizes emotions of users using Android Cell Phones. The system software consists of a feature extractor, a neural network, and an intelligent tutoring system. The tutoring system, the neural network, and the emotion recognizer were implemented for running in Android devices. We also incorporate a novel fuzzy system, which is part of the intelligent tutoring system that takes actions depending of pedagogical and emotional states. The recognition rate of the emotion classifier was 96 %.