—This paper describes a man machine interface based on gazing input without user’s body restrictions. Gazing points forward to the side directions were estimated by the relative distance of an iris and the outer corner of left and right eyes. Whether or not the user gazes the camera was recognized by the intersection of the two perpendicular bisectors derived by the position of a cornea and the eyelid edges. The suggested recognition system was applied to the operations of the page turner machine. It could judge the user’s states of both reading a book and operating the machine by the special feature points on an eye.
—Gazing, eyelid shape, bezier curve, human interface, image processing.
Nobuaki Nakazawa, Shinnosuke Segawa, Nao Ozawa, Yuki Haruyama, and Yusaku Fujii are with Division of Mechanical Science and Technology, Faculty of Science and Technology, Gunma University, Gunma, Japan (e-mail: email@example.com, firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com).
Ilhwan Kim is with Department of Electrical and Electronic Engineering, Kangwon National University, Chuncheon, Korea (e-mail: firstname.lastname@example.org).
Cite:Nobuaki Nakazawa, Shinnosuke Segawa, Nao Ozawa, Yuki Haruyama, Ilhwan Kim, and Yusaku Fujii, "Human Interface Based on Eyelid Shape Approximation," International Journal of Computer Theory and Engineering vol. 9, no. 1, pp. 48-52, 2017.