{"title":"Real Time Eye Blinking Detection Using Local Ternary Pattern and SVM","authors":"J. Ryu, H. Yang, Yongho Seo","doi":"10.1109/BWCCA.2013.105","DOIUrl":null,"url":null,"abstract":"As smart devices become popular among people, there are many demands for handling these devices. Smart devices are different from desktop and laptop in that the smart devices cannot be used with user interface peripherals such as mouse and keyboard due to the nature of itself, portability. So here is our proposal, eye blinking detection algorithm for interacting with smart devices. This algorithm that we are going to suggest can replace the most important functions of mouse, \"clicking\". This is possible because \"Mouse Clicking\" can be easily replaced by \"Eye Blinking\". We focus on the fast detection algorithm for the real time performance. Current existing studies of eye blinking detection have not concerned about the detection speed while they have quite clear detection accuracy. In this paper, our algorithm is designed to achieve not only the detection accuracy but the rapid speed as well.","PeriodicalId":227978,"journal":{"name":"2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BWCCA.2013.105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
As smart devices become popular among people, there are many demands for handling these devices. Smart devices are different from desktop and laptop in that the smart devices cannot be used with user interface peripherals such as mouse and keyboard due to the nature of itself, portability. So here is our proposal, eye blinking detection algorithm for interacting with smart devices. This algorithm that we are going to suggest can replace the most important functions of mouse, "clicking". This is possible because "Mouse Clicking" can be easily replaced by "Eye Blinking". We focus on the fast detection algorithm for the real time performance. Current existing studies of eye blinking detection have not concerned about the detection speed while they have quite clear detection accuracy. In this paper, our algorithm is designed to achieve not only the detection accuracy but the rapid speed as well.