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- W2907305864 abstract "In traditional e-learning system, the separation of time and space between students and teachers brings about the lack of emotion in students' learning process, and the students' learning effect and teachers' teaching quality have been affected to varying degrees. This paper focuses on this problem, and proposes a learner's emotion recognition model in the online learning scene, then builds a intelligent education system called Smart- E based on the model. This model uses deep neural network and support vector machine. It will identify and analyze the learners' facial images in real time, and the direction and size of the learners' emotional vector will be calculated from the expression classification and the blink frequency so as to understand the emotional state of the learners." @default.
- W2907305864 created "2019-01-11" @default.
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- W2907305864 date "2018-10-01" @default.
- W2907305864 modified "2023-10-16" @default.
- W2907305864 title "Research on leamer's emotion recognition for intelligent education system" @default.
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- W2907305864 doi "https://doi.org/10.1109/iaeac.2018.8577590" @default.
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