• DocumentCode
    658849
  • Title

    Real Time Eye Blinking Detection Using Local Ternary Pattern and SVM

  • Author

    Jong Bin Ryu ; Yang, Hyung Suk ; Yong-Ho Seo

  • Author_Institution
    Dept. Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2013
  • fDate
    28-30 Oct. 2013
  • Firstpage
    598
  • Lastpage
    601
  • 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.
  • Keywords
    keyboards; man-machine systems; mouse controllers (computers); support vector machines; user interfaces; SVM; keyboard; local ternary pattern; mouse; portability; real time eye blinking detection; smart devices; user interface peripherals; Broadband communication; Wireless communication; Eye blinking detection; HCI; Local Ternary Pattern; Real time image processing; SVM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on
  • Conference_Location
    Compiegne
  • Type

    conf

  • DOI
    10.1109/BWCCA.2013.105
  • Filename
    6690955