Skip to main content

Assessment of Biosignals for Managing a Virtual Keyboard

  • Conference paper
Computers Helping People with Special Needs (ICCHP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7383))

Included in the following conference series:

Abstract

In this paper we propose an assessment of biosignals for handling an application based on virtual keyboard and automatic scanning. The aim of this work is to measure the effect of using such application, through different interfaces based on electromyography and electrooculography, on cardiac and electrodermal activities. Five people without disabilities have been tested. Each subject wrote twice the same text using an electromyography interface in first test and electrooculography in the second one. Each test was divided into four parts: instruction, initial relax, writing and final relax. The results of the tests show important differences in the electrocardiogram and electrodermal activity among the parts of tests.

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. Eurostat. Heath Statistics. Luxembrourg: Office for Official Publications of the European communuties (2002), http://epp.eurostat.ec.europa.eu ISBN: 92-894-3730-8 (retrieved on January 2012)

  2. Simpson, R.C., Koester, H.H.: Adaptive One-Switch Row-Column Scanning. IEEE Transactions on Rehabilitation Engineering 7(4), 464–473 (1999)

    Google Scholar 

  3. Fairclough, S.H.: Fundamentals of Physiological Computing. Interacting with computers 21(1-2), 133–145 (2009)

    Google Scholar 

  4. Gómez, I., Anaya, P., Cabrera, R., Molina, A.J., Rivera, O., Merino, M.: Augmented and Alternative Communication System Based on Dasher Application and an Accelerometer. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010. LNCS, vol. 6180, pp. 98–103. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  5. Dhillon, H.S., Singla, R., Rekhi, N.S., Rameshwar, J.: EOG and EMG Based Virtual Keyboard: A Brain-Computer Interface. In: 2nd IEEE International Conference on Computer Science and Information Technology (2009)

    Google Scholar 

  6. Merino, M., Gómez, I., Rivera, O., Molina, A.J.: Customizable Software Interface for Monitoring Applications. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010, Part I. LNCS, vol. 6179, pp. 147–153. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Schalk, G., McFarland, D.J., Hinterberger, T., Birbaumer, N., Wolpaw, J.R.: BCI 2000: A General-Purpose Brain-Computer Interface (BCI) System. IEEE Transactions on Biomedical Engineering 51(6), 1034–1043 (2004)

    Article  Google Scholar 

  8. Boucsein, W.: Electrodermal Activity, 1st edn. Springer (1992)

    Google Scholar 

  9. Setz, C., Arnrich, B., Schumm, J., La Marca, R.: Discriminating Stress from Cognitive Load Using a Wareable EDA Device. IEEE Transactions on Information Technology in Biomedicine 14(2), 410–417 (2010)

    Article  Google Scholar 

  10. Mandryk, R.L., Inkpen, K.M., Calvert, T.W.: Using Psychophysiological Technique to Measure User Experience with Entertainment Technologies. Behavior & Information Technology 25(2), 141–158 (2006)

    Article  Google Scholar 

  11. Simpson, R., Koester, H.H., Lopresti, E.F.: Selecting an appropriate scan rate: the rule. 65. Assistive Technology 19(2), 51–58 (2007)

    Article  Google Scholar 

  12. Poh, M.-Z., Swenson, N.C., Picard, R.W.: A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity. IEEE Transactions on Biomedical Engineering 57(5), 1243–1251

    Google Scholar 

  13. Merino, M., Rivera, O., Gómez, I., Molina, A., Dorronzoro, E.: A Method of EOG Signal Processing to Detect the Direction of Eye Movements. In: SensorDevices 2010, pp. 100–105 (2010)

    Google Scholar 

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

Merino, M., Gómez, I., Molina, A.J., Guzman, K. (2012). Assessment of Biosignals for Managing a Virtual Keyboard. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2012. Lecture Notes in Computer Science, vol 7383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31534-3_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31534-3_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31533-6

  • Online ISBN: 978-3-642-31534-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics