The Study of Learners' Emotional Features in the E-learning System

It is an important direction increasing emotional recognition in the network system. This paper uses the improved Adaboost algorithm based on front-end color optimization to detect face and locate eye and mouth positions, adopts the deformable template matching method to extract eye spacing and uses...

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Hauptverfasser:	Yin Liu, Wansen Wang, Dian Liu, Shuai Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data mining Deformable models E-learning Education Educational institutions Electronic learning Emotion recognition face area Face detection Image color analysis Mouth mouth radian Optimization methods the improved adaboost
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Beschreibung
Zusammenfassung:	It is an important direction increasing emotional recognition in the network system. This paper uses the improved Adaboost algorithm based on front-end color optimization to detect face and locate eye and mouth positions, adopts the deformable template matching method to extract eye spacing and uses the method based on lip color model to extract mouth radian. These methods have good test results. They are provided important parameters to analyze the emotion of learners.
DOI:	10.1109/NSWCTC.2010.105