Skip to main content

Proposal and Demonstration of Equipment Operated by Blinking

  • Conference paper
Ambient Intelligence (AmI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7683))

Included in the following conference series:

Abstract

This paper describes a new input method that makes use of eyelid blinking. We found that the electromyographic (EMG) signal generated by blinking can be detected using a commercially available brain sensor. Since it is impossible to distinguish between voluntary and involuntary blinks, we propose setting a specific time duration between eyelid closing and opening. This duration can be used as a trigger for signal generation and at the same time for selection of a particular operation. The blink pattern is interpreted as a signal pattern for operation and corresponding commands are assigned for the operation selected. We built a demonstration system to evaluate the proposed method. The validity of the method and the effectiveness of the system were confirmed by the experiment using the system.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Tanaka, H., Kimura, R., Ioroi, S.: Equipment Operation by Motion Recognition with Wearable Wireless Acceleration Sensor. In: Int. Conf. on Next Generation Mobile Applications, Services and Technologies, pp. 111–118 (2009)

    Google Scholar 

  2. Siri : http://www.apple.com/iphone/features/siri.html

  3. Chau, M., Betke, M.: Real Time Eye Tracking and Blink Detection with USB Cameras. Boston University Computer Science Technical Report, No.12, pp. 1–10 (2005)

    Google Scholar 

  4. Hori, J., Sakano, K., Saitph, Y.: Development of a Communication Support Device Controlled by Eye Movement and Voluntary Eye Blink. IEICE Trans. Inf. & Syst. E89-D(6), 1790–1797 (2006)

    Article  Google Scholar 

  5. Infrared Sensor : http://www.words-plus.com/website/products/input/istswtch.htm

  6. Brain Sensor : http://www.neurosky.com/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kato, M., Kobori, T., Suzuki, T., Ioroi, S., Tanaka, H. (2012). Proposal and Demonstration of Equipment Operated by Blinking. In: Paternò, F., de Ruyter, B., Markopoulos, P., Santoro, C., van Loenen, E., Luyten, K. (eds) Ambient Intelligence. AmI 2012. Lecture Notes in Computer Science, vol 7683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34898-3_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34898-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34897-6

  • Online ISBN: 978-3-642-34898-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics