Pattern Recognition Technology About Attention Determination Method Study

Along with the networking mature, the distance learning system also gradually becomes the research day by day the hot spot. The distance learning system's goal realizes the highly effective teaching way which the personalization, teaches students in accordance with their aptitude, is expands to the tradition educational model one kind and extends, the distance learning system broke through to the seek knowledge time, the region, the resource sharing limit. However, how do the majority researchers concentrate at present pay attention design personalized the study resources, diagnoses aspects and so on learner's knowledge skill, formulation effective study plan. In fact, they neglect considered that this kind of question, namely all research are alternately as well as reflected based on the learner and the distance learning system in the system the data carries on inference and determination. If the learner has the straight study manner in the learning process, and the attention is centralized, then these data are can reflect fully learner own situation, the system the judgment which obtains based on this is also real and reliable. Otherwise, obtains the data is incredible, useless. Therefore in the distance learning system design's process must consider whether learner's to concentrate in learning process attention question.This article mainly proposed the pattern recognition technology in the multimedia teaching systems one kind of new application pattern. Through to the pattern recognition engineering research present situation's analysis, proposed the attention analysis system feasibility technically. Through carries on the analysis to learner's person face image, the track assesses learner's attention situation, and gives the corresponding prompt. This article has given this system's architecture as well as the detailed flow, introduced the imagery processing module, the pattern recognition module, the attention analysis module three big module principles of work separately. Gains the person face image through the camera, is smooth based on Gauss. Distinguishes the human eye position using the pattern recognition technology, finally the Susan operator to distinguishes pupil's in eye position, then analyzes the attention. This article gave the system core algorithm to realize the process finally.