doi: 10.7763/IJCTE.2017.V9.1109
Human Interface Based on Eyelid Shape Approximation
Nobuaki Nakazawa1
,
Shinnosuke Segawa1 ,
Nao Ozawa1 ,
Yuki Haruyama1 ,
Ilhwan Kim2 ,
Yusaku Fujii1
- 1Division of Mechanical Science and Technology, Faculty of Science and Technology, Gunma University, Gunma, Japan.
- 2Department of Electrical and Electronic Engineering, Kangwon National University, Chuncheon, Korea.
Abstract
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.
Keywords
- Gazing
- eyelid shape
- bezier curve
- human interface
- image processing
How to 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. https://doi.org/10.7763/IJCTE.2017.V9.1109
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).