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- W2372239166 abstract "This paper explored an emotional state classification algorithm through detecting the learner's blink frequency during a learning process.This algorithm could classify the learner's emotional states into positive emotional state and negative emotional state.And the negative emotional categories could be inferred by a Bayesian network using the parameters about the student's personal information and the learning context information.An e-learning system using instructional videos as the core learning material was developed to validate this classification algorithm." @default.
- W2372239166 created "2016-06-24" @default.
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- W2372239166 date "2013-01-01" @default.
- W2372239166 modified "2023-09-26" @default.
- W2372239166 title "Emotion Classification Algorithm Based on Blink Frequency Detection and Bayesian Network in Affective Learning" @default.
- W2372239166 hasPublicationYear "2013" @default.
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