Skip to main content
SpringerLink
Log in

An Assistive VLC Technology for Smart Home Devices Using EOG

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In recent years, assistive technology has been an emerging area of research to improve the quality of life, especially for the disabled and elderly people. In this paper, a novel electro-oculogram (EOG) signal based assistive visible light communication (VLC) in a smart home environment is presented. The eye movement is captured using silver chloride (AgCl) surface electrodes placed around eyes. The captured signal is further processed and transmitted using a VLC link to control smart home devices. To validate the proposed EOG-VLC based smart device control scheme, experiments were conducted. For the ease of the experiments, instead of an actual smart home device, we employed a digital door lock to verify its accurate control operation. Experiment results demonstrate that the proposed smart device control scheme operates accurately and reliably. Therefore, since the proposed scheme is based on a less hazardous VLC link, it is envisioned that the scheme can pave the way for greener and safer smart homes, particularly benefiting disabled and elderly people.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Ghazal, B., & Al-Khatib, K. (2015). Smart home automation system for elderly, and handicapped people using XBee. International Journal of Smart Home, 9(4), 203–210.

    Article  Google Scholar 

  2. Robles, R. J., & Kim, T. H. (2010). Applications, systems and methods in smart home technology: A review. International Journal of Advanced Science and Technology, 15, 37–48.

    Google Scholar 

  3. Wijesoma, W. S., Wee, K. S., Wee, O. C., Balasuriya, A. P., San, K. T., & Soon L. K. (2005). EOG based control of mobile assistive platforms for the severely disabled. In Proceedings of international conference on robotics and biomimetics (pp. 490–494).

  4. Barea, R., Boquete, L., Mazo, M., & Lopez, E. (2002). Wheelchair guidance strategies using EOG. Journal of Intelligent and Robotic Systems, 34(3), 279–299.

    Article  MATH  Google Scholar 

  5. Aungsakul, S., Phinyomark, A., Phukpattaranont, P., & Limsakul, C. (2012). Evaluating feature extraction methods of EOG Signal for human-computer interface. Procedia Engineering, 32, 246–252.

    Article  Google Scholar 

  6. Venkataramanan, S., Prabhat, P., Choudhury, S.R., Nemade, H. B., & Sahambi, J. S. (2005). Biomedical instrumentation based on EOG signal processing and application to a hospital alarm system. In Proceedings of international conference on intelligent sensing and information processing (pp. 535–540).

  7. Aggarwal, A., & Gupta, A. (2011). Effect of electromagnetic radiations on humans: A study. In IEEE students’ technology symposium (pp. 75–80).

  8. Sewaiwar, A., Tiwari, S. V., & Chung, Y. H. (2015). Novel user allocation scheme for full duplex multiuser bidirectional LiFi network. Optics Communications, 339, 153–156.

    Article  Google Scholar 

  9. Dhatchayeny, D. R., Sewaiwar, A., Tiwari, S. V., & Chung, Y. H. (2015). Experimental biomedical EEG signal transmission using VLC. IEEE Sensors Journal, 15(10), 5386–5387.

    Article  Google Scholar 

  10. Tiwari, S. V., Sewaiwar, A., & Chung, Y. H. (2015). Optical bidirectional beacon based visible light communications. Optics Express, 23, 26551–26564.

    Article  Google Scholar 

  11. Rajagopal, S., Roberts, R. D., & Lim, S. K. (2012). IEEE 802.15.7 visible light communication: Modulation schemes and dimming support. IEEE Communication Magazine, 50(3), 72–82.

    Article  Google Scholar 

  12. Feng, Z., Papageorgiou, G., Gao, Q., Atya, A. F., Krishnamurthy, V., & Chen, G. (2014). Performance of visible light communications with dimming controls. In IEEE wireless communications and networking conference, WCNC (pp. 1756–1761).

Download references

Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2015R1D1A3A01017713).

Author information

Authors and Affiliations

  1. Department of Information and Communications Engineering, Pukyong National University, Busan, Republic of Korea

    Durai Rajan Dhatchayeny, Willy Anugrah Cahyadi & Yeon-Ho Chung

Authors
  1. Durai Rajan Dhatchayeny
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Willy Anugrah Cahyadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yeon-Ho Chung
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yeon-Ho Chung.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dhatchayeny, D.R., Cahyadi, W.A. & Chung, YH. An Assistive VLC Technology for Smart Home Devices Using EOG. Wireless Pers Commun 98, 81–89 (2018). https://doi.org/10.1007/s11277-017-4856-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4856-1

Keywords

Search

Navigation