{"title":"基于音频和视频的驾驶员状态评估系统可行性研究","authors":"Hye-jin Kim, WooYoung Han","doi":"10.1109/ICCVE.2012.79","DOIUrl":null,"url":null,"abstract":"This paper presents a method to estimate a driver's drowsiness and distraction using audio and video information. Drowsiness can be detected by eye movement and mouth movement. A driver's distraction can be estimated by a driver's voice detection using beamforming method and mouth movement.","PeriodicalId":182453,"journal":{"name":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Feasibility Study of Driver's State Assessment System Using Audio and Video\",\"authors\":\"Hye-jin Kim, WooYoung Han\",\"doi\":\"10.1109/ICCVE.2012.79\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method to estimate a driver's drowsiness and distraction using audio and video information. Drowsiness can be detected by eye movement and mouth movement. A driver's distraction can be estimated by a driver's voice detection using beamforming method and mouth movement.\",\"PeriodicalId\":182453,\"journal\":{\"name\":\"2012 International Conference on Connected Vehicles and Expo (ICCVE)\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Connected Vehicles and Expo (ICCVE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCVE.2012.79\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE.2012.79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Feasibility Study of Driver's State Assessment System Using Audio and Video
This paper presents a method to estimate a driver's drowsiness and distraction using audio and video information. Drowsiness can be detected by eye movement and mouth movement. A driver's distraction can be estimated by a driver's voice detection using beamforming method and mouth movement.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
