{"title":"区分聚合注视分布","authors":"Thomas Grindinger, A. Duchowski, P. Orero","doi":"10.1145/2077451.2077473","DOIUrl":null,"url":null,"abstract":"A machine learning approach used to classify aggregate gaze distributions recorded by an eye tracker and visualized as heatmaps is demonstrated to successfully discriminate between free and task-driven exploration of video clips.","PeriodicalId":89458,"journal":{"name":"Proceedings APGV : ... Symposium on Applied Perception in Graphics and Visualization. Symposium on Applied Perception in Graphics and Visualization","volume":"47 1","pages":"110"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differentiating aggregate gaze distributions\",\"authors\":\"Thomas Grindinger, A. Duchowski, P. Orero\",\"doi\":\"10.1145/2077451.2077473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A machine learning approach used to classify aggregate gaze distributions recorded by an eye tracker and visualized as heatmaps is demonstrated to successfully discriminate between free and task-driven exploration of video clips.\",\"PeriodicalId\":89458,\"journal\":{\"name\":\"Proceedings APGV : ... Symposium on Applied Perception in Graphics and Visualization. Symposium on Applied Perception in Graphics and Visualization\",\"volume\":\"47 1\",\"pages\":\"110\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings APGV : ... Symposium on Applied Perception in Graphics and Visualization. Symposium on Applied Perception in Graphics and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2077451.2077473\",\"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 APGV : ... Symposium on Applied Perception in Graphics and Visualization. Symposium on Applied Perception in Graphics and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2077451.2077473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A machine learning approach used to classify aggregate gaze distributions recorded by an eye tracker and visualized as heatmaps is demonstrated to successfully discriminate between free and task-driven exploration of video clips.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
