Abstract
In comparison to all types of injury, those to the brain are among the most likely to result in death or permanent disability. A certain percentage of these brain-injured people cannot communicate, recreate, or control their environment due to severe motor impairment. This group of individuals with severe head injury has received little from assistive technology. Brain computer interfaces have opened up a spectrum of assistive technologies, which are particularly appropriate for people with traumatic brain-injury, especially those who suffer from “locked-in” syndrome. Previous research in this area developed brain body interfaces so that this group of brain-injured people can communicate, recreate and launch applications communicate using computers despite the severity of their brain injury, except for visually impaired and comatose participants. This paper reports on an exploratory investigation carried out with visually impaired using facial muscles or electromyography (EMG) to communicate using brain body interfaces.
Chapter PDF
Similar content being viewed by others
Keywords
References
World Health Organization, Disability, Including Prevention, Management and rehabilitation, Report by the Secretariat document A58/17, World Health Organization Publications (April 2005)
Council of Europe, Towards full social inclusion of persons with disabilities, Report Social, Health and Family Affairs Committee, Doc. 9632, Communication Unit of the Assembly (December 2002)
Sears, A., Young, M.: Physical Disabilities and Computing Technologies: An Analysis of Impairments. In: Jacko, J.A., Sears, A. (eds.) The Human-Computer Interaction Handbook, pp. 482–503. Lawrence Erlbaum Associates, Mahwah (2003)
Roy, E. A.: The anatomy of a head injury (2004) (accessed 1st May 2005), http://www.ahs.uwaterloo.ca/~cahr/headfall.html
Kozelka, J., Pedley, T.: Beta and MU Rhythms. Journal of Clinical Neurophysiology 7(2), 191–207 (1990)
Vaughan et al.: Brain-Computer Interface Technology: A Review of the Second International Meeting. IEEE Transactions on Neural Systems and Rehabilitation Engineering 11(2), 94–109 (2003)
Wolpaw, J., Birbaumer, N., Heetderks, W.J., McFarland, D.J., Peckham, P.H., Schalk, G., Donchin, E., Quatrano, L.A., Robinson, C.J.: IEEE Transactions on Rehabilitation Engineering. In: Wolpaw, J., Vaughan, T. (eds.) Brain-Computer Interface technology: A review of the First International Meeting, vol. 8(2), pp. 164–173 (2000)
Pregenzer, M., Pfurtscheller, G., Flotzinger, D.: Selection of electrode positions for an EEG-based Brain Computer Interface (BCI). Biomedizinische Technik 39, 264–269 (1994)
Berg, C., Junker, A., Rothman, A., Leininger, R.: The Cyberlink Interface: Development of A Hands-Free Continuous/Discrete Multi-Channel Computer Input Device, Small Business Innovation Research Program (SBIR) Phase II Final Report, Brain Actuated Technologies, Ohio, USA ( 1998)
Jasper, H.: The Ten-Twenty Electrode System of the International Federation in Electroencephalography and Clinical Neurophysiology. Electroencephalographic Clinical Neurophysiology 10, 371–375 (1958)
Siuru, B.: A brain /Computer Interface. Electronics Now. 70(3), 55–56 (1999)
Spiers, A., Warwick, K., Mark Gasson, M.: Assessment of Invasive Neural Implant Technology. In: HCI International 2005 (CD-ROM), Lawrence Erlbaum Associates, Las Vegas (2005)
Sanchez, J.C., Principe, J.C., Carne, P.R.: Is Neuron Discrimination Preprocessing Necessary for Linear and Nonlinear Brain Machine Interface Models? In: HCI International 2005 (CD-ROM), Lawrence Erlbaum Associates, Las Vegas (2005)
Gnanayutham, P.: Assistive Technologies for Traumatic Brain injury. ACM SIGACCESS Newsletter (80), 18–21 (2004)
Gnanayutham, P.: The State of Brain Body Interface Devices, UsabilityNews (October 2006), http://www.usabilitynews.com/
Gnanayutham, P., Bloor, C., Cockton, G.: Robotics for the brain injured: An interface for the brain injured person to operate a robotic arm. In: Antoniou, G., Deremer, D. (eds.) ICCIT 2001, pp. 93–98. New York (October 2001)
Gnanayutham, P., Bloor, C., Cockton, G.: AI to enhance a brain computer interface. In: Stephanidis, C. (ed.) HCI International 2003, pp. 1397–1401. Lawrence Erlbaum Associates, Mahwah, Crete (2003)
Gnanayutham, P., Bloor, C., Cockton, G.: Discrete Acceleration and Personalised, Tiling as Brain Body Interface Paradigms for Neurorehabilitation. In: CHI 2005, pp. 261–270. ACM Press, Portland, Oregon (2005)
Gnanayutham, P.: Personalised Tiling Paradigm for Motor Impaired Users. In: HCI International 2005 (CD-ROM), Lawrence Erlbaum Associates, Las Vegas (2005)
Preece, J., Rogers, Y., Sharp, H.: Interaction Design. Wiley, USA (2002)
Munhall, P.L.: Philosophical ponderings on qualitative research methods in nursing. Nursing Science Quarterly 2(1), 20–28 (1989)
Abowd, G., Bowen, J., Dix, A., Harrison, M., Took, R.: User Interface Languages: a survey of existing methods, Oxford University Computing Laboratory, Programming Research Group, UK (October 1989)
Williams, D.D.: When is Naturalistic Evaluation Appropriate? In: Williams, D, D. (ed.) Naturalistic Evaluation. New Directions for Program Evaluation, vol. 30, Jossey-Bass, San Francisco (1986)
Nogueira, J.L., Garcia, A.C.B.: Understanding the Tradeoffs of Interface Evaluation Methods. In: Jacko, J., Stephanidis, C. (eds.) HCI International 2003, pp. 676–680, Crete (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gnanayutham, P., George, J. (2007). Inclusive Design for Brain Body Interfaces. In: Schmorrow, D.D., Reeves, L.M. (eds) Foundations of Augmented Cognition. FAC 2007. Lecture Notes in Computer Science(), vol 4565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73216-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-73216-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73215-0
Online ISBN: 978-3-540-73216-7
eBook Packages: Computer ScienceComputer Science (R0)