{"title":"一种新的多模态技术增强的社交学习环境中的面部特征检测和跟踪","authors":"Jingying Chen, Oliver Lemon","doi":"10.1109/ICSIPA.2009.5478661","DOIUrl":null,"url":null,"abstract":"In this paper, a robust and efficient facial feature detection and tracking approach for head pose estimation and a reliable smile detector are presented. The new feature of integrating head pose estimation with smile detection is introduced to support learning of social communication skills in a new multimodal technology-enhanced learning environment where appropriate gaze and smiling behaviours are crucial.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication\",\"authors\":\"Jingying Chen, Oliver Lemon\",\"doi\":\"10.1109/ICSIPA.2009.5478661\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a robust and efficient facial feature detection and tracking approach for head pose estimation and a reliable smile detector are presented. The new feature of integrating head pose estimation with smile detection is introduced to support learning of social communication skills in a new multimodal technology-enhanced learning environment where appropriate gaze and smiling behaviours are crucial.\",\"PeriodicalId\":400165,\"journal\":{\"name\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2009.5478661\",\"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 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2009.5478661","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Facial feature detection and tracking in a new multimodal technology-enhanced learning environment for social communication
In this paper, a robust and efficient facial feature detection and tracking approach for head pose estimation and a reliable smile detector are presented. The new feature of integrating head pose estimation with smile detection is introduced to support learning of social communication skills in a new multimodal technology-enhanced learning environment where appropriate gaze and smiling behaviours are crucial.
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