Title :
Research on the Emotion Recognition Based on the Fuzzy Neural Network in the Intelligence Education System
Author_Institution :
Guangxi Econ. Manage. Cadre Coll., Nanning, China
Abstract :
With the network education becomes more and more popular, people pay more attention to the intelLigence of the education system. This paper put out focus on the fuzzy neural network (FNN) applying to the emotion recognition. The method works by doing emotional features extraction first, then training the FNN using lots of the features data, third using the FNN to recognize emotion. Finally the paper proposes a structure of the intelLigence education system which includes an emotion module. This module can recognize the students´ emotion by analyzing their expression, which can help the system to make an appropriate choice of teaching strategy. The combination of the emotion module with the intelLigence education can serve the purpose of improving the quaLity of teaching and studying.
Keywords :
computer aided instruction; emotion recognition; feature extraction; fuzzy neural nets; teaching; emotion module; emotional feature extraction; fuzzy neural network; intelligence education system; network education; student emotion recognition; teaching strategy; Education; Emotion recognition; Feature extraction; Fuzzy neural networks; Fuzzy reasoning; Mouth; FNN; emotion recognition; intelLigence education system;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.255
