Skip to main content
SpringerLink
Log in

Real-time estimation system of the gaze position based on an electrooculogram

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

This article describes an online eye-tracking method based on an electrooculogram (EOG) to estimate gaze position. The objective is to use a biomedical signal EOG as the input of a human-machine interface for both disabled and healthy people. In this study, features of horizontal and vertical EOG signals were extracted to estimate the gaze position. Compensation for time-shift and nonlinearity were applied to improve the performance of the estimation. The estimated locus of the moving eye was compared with the locus of the target, and the deviation was about 3 cm. The results can be applied in some raw tracking fields, such as online communication, EOG-based pointers, and so on.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Hutchinson TE, White KP Jr, Martin WN (1989) Human-computer interaction using eye-gaze input. IEEE Trans Syst Man Cybern 19:1527–1533

    Article  Google Scholar 

  2. Du Bois-Reymond EH (1848) Untersuchungen Ueber Thierische Elektricitat. G Reimer, Germany, pp 56–74

    Google Scholar 

  3. Barea R, Boquete L, Mazo M, et al (2002) System for assisted mobility using eye movements based on electrooculography. IEEE Trans Neural Syst Rehab Eng 10(4):209–218

    Article  Google Scholar 

  4. Wijesoma WS, Wee KS, Wee OC, et al (2005) EOG-based control of mobile assistive platforms for the severely disabled. 2005 IEEE International Conference on Robotics and Biomimetics, Hong Kong, China, June 29–July 03, 2005, Inst of Elec and Elec Eng Computer Society, USA, pp 490–493

  5. Tecce J, Gips J, Olivieri CP, et al (1998) Eye movement control of computer functions. Int J Psychophysiol 29:319–325

    Article  Google Scholar 

  6. Yamagishi K, Hori J, Miyakawa M (2006) Development of EOGbased communication system controlled by eight-directional eye movements. Proceedings of the 28th. IEEE EMBS Annual International Conference, New York City, August 30–September 3, 2006, Inst of Electrical and Electronic Engineers, USA, pp 2574–2577

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Automation, East China University of Science and Technology, 130 St. Meilong, Shanghai, China

    Xiu Zhang & Xingyu Wang

  2. Department of Electrical and Electronic Engineering, Saga University, Saga, Japan

    Takenao Sugi

  3. Research Institute of Systems Control, Institute for Advanced Research and Education, Saga University, Saga, Japan

    Xiu Zhang & Masatoshi Nakamura

Authors
  1. Xiu Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Takenao Sugi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xingyu Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Masatoshi Nakamura
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiu Zhang.

Additional information

This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009

About this article

Cite this article

Zhang, X., Sugi, T., Wang, X. et al. Real-time estimation system of the gaze position based on an electrooculogram. Artif Life Robotics 14, 182–185 (2009). https://doi.org/10.1007/s10015-009-0649-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-009-0649-2

Key words

Search

Navigation