Vision-based Eye Gaze Estimation System using Robust Pupil Detection and Corneal Reflections

• 영문명: Vision-based Eye Gaze Estimation System using Robust Pupil Detection and Corneal Reflections
• 발행기관: 한국과학기술원 인간친화 복지 로봇 시스템 연구센터
• 저자명: Dong Hyun Yoo Myung Jin Chung
• 간행물 정보: 『International Journal of Assistive Robotics and Mechatronics』International Journal of Human-friendly Welfare Robotic Systems Vol.3 No.4, 2~8쪽, 전체 7쪽
• 주제분류: 공학 > 제어계측공학
• 파일형태: PDF
• 발행일자: 2002.12.01

영문 초록

  In this paper, an eye gaze estimation system is proposed. The eye gaze estimation system is a system to estimate the eye-gaze direction of a user. The proposed system consists of five IR LEDs and a CCD camera. The direction of the user"s eye gaze can be computed without computing the geometrical relation among the eye, the camera, and the monitor in 3D space. Our method is comparatively simple and fast. The disabled who cannot use their arms can manipulate a computer using this system. We will introduce our method and show experimental results. The experimental results will verify the feasibility of the proposed system as an interface for the disabled.

목차

Abstract
Ⅰ. INTRODUCTION
Ⅱ. PREVIOUS WORK
Ⅲ. SYSTEM DESCRIPTION
Ⅳ. ESTIMATION
Ⅴ. EXPERIMENTS
Ⅵ. CONCLUSIONS
REFERENCES

키워드

Eye gaze estimation corneal reflection pupil detection cross ratio