Title :
The Application Study of Learner´s Face Detection and Location in the Teaching Network System Based on Emotion Recognition
Author :
Liu, Shuai ; Wang, Wansen
Author_Institution :
Dept. of Inf. Eng., Capital Normal Univ., Beijing, China
Abstract :
The traditional E-learning System is to achieve self-learning function of distance. But in the learning process, the learner´s emotional information can not be extracted effectively use that the study results is not ideal. Teaching system in the network to increase emotional recognition, it is a personalized Web-based Education is an important direction for the development. This paper using Adaboost algorithm that based on SVM classifier to locate human faces, experiments have achieved good results. The study provides an important scientific basis to study the expression analysis of learners.
Keywords :
computer aided instruction; emotion recognition; face recognition; teaching; unsupervised learning; Adaboost algorithm; SVM classifier; e-learning system; emotion recognition; expression analysis; learner emotional information; learner face detection; personalized Web-based education; self learning function; teaching network system; Data mining; Education; Electronic learning; Emotion recognition; Face detection; Face recognition; Humans; Information analysis; Support vector machine classification; Support vector machines; Adaboost; SVM(Support Vector Machine); face detection;
Conference_Titel :
Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-4011-5
Electronic_ISBN :
978-1-4244-6598-9
DOI :
10.1109/NSWCTC.2010.97
