{"title":"模式识别技术在远程教育系统中的应用研究","authors":"Tianyang Zheng, Wei Pan, B. Jia","doi":"10.1109/ICCEE.2009.92","DOIUrl":null,"url":null,"abstract":"In light of the present situation research on distance learning system at home and abroad, this paper has put forward a new application mode of pattern recognition technology in distance learning system. It can track and judge the learner’s attention by analyzing learner’s face image based on the pattern recognition technology to give the prompt or the warning. This study includes three categories, such as image acquisition, imagery processing and attention analysis. We respectively introduce the implementation method and corresponding algorithm of the three categories in detail. Experimental results show that this study is effective and practical in the application. To a certain extent, it has solved the problem that the learner is scatterbrained and cooperate less positively in distance learning.","PeriodicalId":343870,"journal":{"name":"2009 Second International Conference on Computer and Electrical Engineering","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Study on the Application of Pattern Recognition Technology in Distance Education System\",\"authors\":\"Tianyang Zheng, Wei Pan, B. Jia\",\"doi\":\"10.1109/ICCEE.2009.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In light of the present situation research on distance learning system at home and abroad, this paper has put forward a new application mode of pattern recognition technology in distance learning system. It can track and judge the learner’s attention by analyzing learner’s face image based on the pattern recognition technology to give the prompt or the warning. This study includes three categories, such as image acquisition, imagery processing and attention analysis. We respectively introduce the implementation method and corresponding algorithm of the three categories in detail. Experimental results show that this study is effective and practical in the application. To a certain extent, it has solved the problem that the learner is scatterbrained and cooperate less positively in distance learning.\",\"PeriodicalId\":343870,\"journal\":{\"name\":\"2009 Second International Conference on Computer and Electrical Engineering\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Conference on Computer and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEE.2009.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Conference on Computer and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEE.2009.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on the Application of Pattern Recognition Technology in Distance Education System
In light of the present situation research on distance learning system at home and abroad, this paper has put forward a new application mode of pattern recognition technology in distance learning system. It can track and judge the learner’s attention by analyzing learner’s face image based on the pattern recognition technology to give the prompt or the warning. This study includes three categories, such as image acquisition, imagery processing and attention analysis. We respectively introduce the implementation method and corresponding algorithm of the three categories in detail. Experimental results show that this study is effective and practical in the application. To a certain extent, it has solved the problem that the learner is scatterbrained and cooperate less positively in distance learning.