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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...
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...
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