Title :
The Application of Facial Characteristics Extraction in the Intelligent Network Teaching System
Author :
Liu, Yin ; Wang, Wansen
Author_Institution :
Inf. Eng. Coll., Capital Normal Univ., Beijing, China
Abstract :
The traditional teaching of intelligent network system does not have the function of emotion teaching, so the paper has put forward an idea to obtain the chief facial features to analyze learners´ emotion. This paper bases the color front-optimized improved Adaboost face detection algorithm to detect human face, uses the best segmentation threshold value to obtain the eyelid spacing and the difference between the mouth color and other skin to detect the mouth. These methods have achieved good results. At the same time, the study provides the necessary premise to the realization of intelligent network teaching system emotional education.
Keywords :
emotion recognition; face recognition; feature extraction; image colour analysis; image segmentation; intelligent tutoring systems; learning (artificial intelligence); object detection; teaching; color front-optimized Adaboost face detection algorithm; computer aided learning; eyelid spacing; facial characteristics extraction; intelligent network teaching system emotional education; mouth color; mouth detection; segmentation threshold value; skin color; Data mining; Education; Educational institutions; Eyelids; Face detection; Humans; Image color analysis; Intelligent networks; Mouth; Skin; face detection; mouth characteristic extraction; the best segmentation threshold value; the eyelid spacing;
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
DOI :
10.1109/ITCS.2009.35
