Abstract
People with severe speech or language problems rely on augmentative and alternative communication (AAC) to supplement existing speech or replace speech that is not functional. However, many people with severely motor disabilities are limited to use AAC, because most of AAC use the mechanical input devices. In this paper, to solve the limitations and offer a practical solution to disabled person, a virtual keyboard system using a bio-signal interface is developed. The developed system consists of bio-signal interface, training and feedback program, connecting module and virtual keyboard. In addition, we evaluate how well do subjects control the system. From results of preliminary usability test, the usefulness of the system is verified.
Chapter PDF
Similar content being viewed by others
Keywords
References
Cook, A.M., Hussey, S.M.: Assistive Technologies: principles and practices, 3rd edn. Mosby (2008)
Tai, K., Blain, S., Chau, T.: A review of emerging access technologies for individuals with severe motor impairments. Assit. Technol., 204–209 (2008)
Schalk, G., et al.: BCI 2000: A general-purpose brain-computer interface (BCI) system. IEEE Trans. Biomed. Eng. 51, 1034–1043 (2004)
Lin, C.-T., et al.: Development of wireless brain computer interface with embedded multitask scheduling and its application on real-time driver’s drowsiness detection and warning. IEEE Trans. Biomed. Eng. 55, 1034–1043 (2008)
Kauhanen, L., Jylanki, P., et al.: EEG-based brain-computer interface for tetraplegics. Comput. Intell. Neurosci., 1–11 (2007)
Barreto, A.B., et al.: A practical EMG-based human-computer interface for users with motor disabilities. Journal of Rehabilitation Research and Development 37, 53–64 (2000)
Lturrate, I., et al.: A noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation. IEEE Trans. Robot. 25, 614–627 (2009)
Muller-Putz, G.R., Pfurtscheller, G.: Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Trans. Biomed. Eng. 55, 361–364 (2008)
Graimann, B., et al.: Brain-Computer Interfaces, ch. 8. Springer, Heidelberg (2010)
Wolpaw, J.R., et al.: Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113, 767–791 (2002)
Emotiv. EPOC neuroheadset, emotiv.com http://www.emotiv.com/apps/epoc/299
OCZ Technology. NIA game controller, ocztechnology.com http://www.ocztechnology.com/nia-game-controller.html
Neurosky, mindset, neurosky.com , http://neurosky.com/Products/MindSet.aspx
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
An, KO., Kim, DH., Kim, J. (2013). Development of a Virtual Keyboard System Using a Bio-signal Interface and Preliminary Usability Test. In: Kurosu, M. (eds) Human-Computer Interaction. Towards Intelligent and Implicit Interaction. HCI 2013. Lecture Notes in Computer Science, vol 8008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39342-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-39342-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39341-9
Online ISBN: 978-3-642-39342-6
eBook Packages: Computer ScienceComputer Science (R0)