The Application Study of Learner's Face Detection and Location in the Teaching Network System Based on Emotion Recognition

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.