A Human-Robot Interface Using Eye-Gaze Tracking System for People with Motor Disabilities

  • Kim, Do-Hyoung (Department of Electrical Engineering and Computer Science, KAIST) ;
  • Kim, Jae-Hean (Department of Electrical Engineering and Computer Science, KAIST) ;
  • Yoo, Dong-Hyun (Department of Electrical Engineering and Computer Science, KAIST) ;
  • Lee, Young-Jin (Department of Electrical Engineering and Computer Science, KAIST) ;
  • Chung, Myung-Jin (Department of Electrical Engineering and Computer Science, KAIST)
  • Published : 2001.12.01

Abstract

Recently, service area has been emerging field f robotic applications. Even though assistant robots play an important role for the disabled and the elderly, they still suffer from operating the robots using conventional interface devices such as joysticks or keyboards. In this paper we propose an efficient computer interface using real-time eye-gaze tracking system. The inputs to the proposed system are images taken by a camera and data from a magnetic sensor. The measured data is sufficient to describe the eye and head movement because the camera and the receiver of a magnetic sensor are stationary with respect to the head. So the proposed system can obtain the eye-gaze direction in spite of head movement as long as the distance between the system and the transmitter of a magnetic position sensor is within 2m. Experimental results show the validity of the proposed system in practical aspect and also verify the feasibility of the system as a new computer interface for the disabled.

Keywords

References

  1. An InfoUse Report Chart-book on work and disability in the united states S. Stoddard;L. Jans;J. M. Ripple;L. Kraus
  2. B. S. Dissertation, Copenhagen University Eye controlled media: present and future state A. J. Glenstrup;T. Engell-Nielsen
  3. Viewpoint eye tracker K. F. Arrington
  4. Flock of Birds: Installation and Operations Guide Ascension Technology
  5. IEEE Trans. on Biomed. Eng. v.42 no.11 A theoretical analysis of three-dimensional eye position measurement using polar cross- correlation T. Haslwanter;S. T. Moore
  6. Ph. D. Dissertation, Korea Advanced Institute of Science and Technology Eye-controlled human/ computer interface using the line-of-sight and the intentional blink K. T. Lee
  7. M. S. Dissertation, Korea Advanced Institute of Science and Technology Development of an eye-gaze tracking system using video image sequence and magnetic sensory Information D. H. Kim
  8. Int. J. Comp. Vision v.8 no.2 Feature extraction from faces using deformable templates A. L. Yuille;P. W. Hallinan;D. S. Cohen
  9. Pattern Recogn. v.27 no.6 On improving eye facture extraction using deformable templates X. Xie;R. Sudhakar;H. Zhuang
  10. IEEE Trans. on Biomedical Engineering v.43 no.11 Combined head and eye tracking system for dynamic testing of the Vvstibular system R. S. Allison;M. Eizenman;B. S. K. Cheung
  11. IEEE Trans. on Systems, Man and Cybernetics v.25 no.12 Real-time eye feature tracking from a video image sequence using kalman filter X. Xie;R. Sudhakar;H. Zhuang
  12. Annul Report for people with Disability in Korea
  13. Machine vision R. Jain;R. Kasturi;B. G. Schunck
  14. Applied Science Laboratories
  15. The eagleeyes project