F. Putze, Dennis Küster, Sonja Annerer-Walcher, M. Benedek
{"title":"打瞌睡还是努力思考?:从视频中对课堂多维注意力状态进行分类","authors":"F. Putze, Dennis Küster, Sonja Annerer-Walcher, M. Benedek","doi":"10.1145/3242969.3243000","DOIUrl":null,"url":null,"abstract":"In this paper, we extract features of head pose, eye gaze, and facial expressions from video to estimate individual learners' attentional states in a classroom setting. We concentrate on the analysis of different definitions for a student's attention and show that available generic video processing components and a single video camera are sufficient to estimate the attentional state.","PeriodicalId":308751,"journal":{"name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","volume":"44 13","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dozing Off or Thinking Hard?: Classifying Multi-dimensional Attentional States in the Classroom from Video\",\"authors\":\"F. Putze, Dennis Küster, Sonja Annerer-Walcher, M. Benedek\",\"doi\":\"10.1145/3242969.3243000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we extract features of head pose, eye gaze, and facial expressions from video to estimate individual learners' attentional states in a classroom setting. We concentrate on the analysis of different definitions for a student's attention and show that available generic video processing components and a single video camera are sufficient to estimate the attentional state.\",\"PeriodicalId\":308751,\"journal\":{\"name\":\"Proceedings of the 20th ACM International Conference on Multimodal Interaction\",\"volume\":\"44 13\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th ACM International Conference on Multimodal Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3242969.3243000\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3242969.3243000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dozing Off or Thinking Hard?: Classifying Multi-dimensional Attentional States in the Classroom from Video
In this paper, we extract features of head pose, eye gaze, and facial expressions from video to estimate individual learners' attentional states in a classroom setting. We concentrate on the analysis of different definitions for a student's attention and show that available generic video processing components and a single video camera are sufficient to estimate the attentional state.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
