Improving the accessibility at home: implementation of a domotic application using a p300-based brain computer interface system

  1. Rebeca, Corralejo, Palacios
  2. Roberto Hornero Sánchez
  3. Daniel, Álvarez, González
  4. Laura Martín G González
Revista:
Journal of accessibility and design for all: JACCES

ISSN: 2013-7087

Año de publicación: 2012

Volumen: 2

Número: 1

Páginas: 1-14

Tipo: Artículo

Otras publicaciones en: Journal of accessibility and design for all: JACCES

Resumen

The aim of this study was to develop a Brain Computer Interface (BCI) application to control domotic devices usually present at home. Previous studies have shown that people with severe disabilities, both physical and cognitive ones, do not achieve high accuracy results using motor imagery-based BCIs. To overcome this limitation, we propose the implementation of a BCI application using P300 evoked potentials, because neither extensive training nor extremely high concentration level are required for this kind of BCIs. The implemented BCI application allows to control several devices as TV, DVD player, mini Hi-Fi system, multimedia hard drive, telephone, heater, fan and lights. Our aim is that potential users, i.e. people with severe disabilities, are able to achieve high accuracy. Therefore, this domotic BCI application is useful to increase their personal autonomy and independence, improving their quality of life.

Referencias bibliográficas

  • J.R. Wolpaw, N. Birbaumer, W.J. Heetderks, D.J. McFarland, P.H. [1] Peckham, G. Schalk, E. Donchin, L.A. Quatrano, C.J. Robinson, and T.M. Vaughan, “Brain-Computer Interface Technology: A Review of the First International Meeting”, IEEE Transactions on Rehabilitation Engineering, 2000, vol. 8, pp. 164–173.
  • J.R. Wolpaw, N. Birbaumer, D.J. McFarland, G. Pfurtscheller, and T.M. [2] Vaughan, “Brain–Computer Interfaces for Communication and Control”, Clinical Neurophysiology, 2002, vol. 113, pp. 767–791.
  • R. Corralejo, D. Álvarez, and R. Hornero, “Brain Computer Interface [3] Aplicado al Control de una Aplicación Domótica”, Actas del Simposio CEA de Bioingeniería, 2010, pp. 28–36.
  • R. Corralejo, R. Hornero, and D. Álvarez, “A Domotic Control System Using [4] Brain-Computer Interface”, International Work Conference on Artificial Neural Networks (IWANN), 2011, Accepted.
  • F. Nijboer, E.W. Sellers, J. Mellinger, M.A. Jordan, T. Matuz, A. Furdea, S. [5] Halder, U. Mochty, D.J. Krusienski, T.M. Vaughan, J.R. Wolpaw, N. Birbaumer, and A. Kübler, “A P300-based Brain–Computer Interface for People with Amyotrophic Lateral Sclerosis”, Clinical Neurophysiology, 2008, vol. 119, pp. 1909–1916.
  • U. Hoffmann, J.M. Vesin, T. Ebrahimi, and K. Diserens, “An Efficient P300-[6] based Brain–Computer Interface for Disabled Subjects”, Journal of Neuroscience Methods, 2008, vol. 167, pp. 115–125.
  • E.M. Mugler, C.A. Ruf, S. Halder, M. Bensch, and A. Kübler, “Design and [7] Implementation of a P300-based Brain-Computer Interface for Controlling an Internet Browser”, IEEE Transactions on Neural Systems and Rehabilitation Engineer, 2010, vol. 18, no. 6, pp. 599–609.
  • I. Iturrate, J.M. Antelis, A. Kübler, and J. Mínguez, “A Noninvasive Brain-[8] Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation”, IEEE Transactions on Robotics, 2009, vol. 25, pp. 614–627.
  • C. Escolano, J. Antelis, and J. Mínguez, “Human Brain-Teleoperated Robot [9] between Remote Places”, Proceedings of the IEEE International Conference on Robotics and Automation, 2009, pp. 4430–4437.
  • B. Roder, F. Rosler, E. Hennighausen, and F. Nacker, “Event-related [10] Potentials during Auditory and Somatosensory Discrimination in Sighted and Blind Human Subjects”, Cognitive Brain Research, 1996, vol. 4, pp. 77–93.
  • N.S. Dias, P.M. Mendes, and J.H. Correia, “Subject Age in BCI2000”, [11] Proceedings of the 2nd International IEEE EMBS Conference on Neural Engineering, 2005, pp. 579–582.
  • E. Donchin, and D.B. Smith, “The Contingent Negative Variation and the [12] Late Positive Wave of the Average Evoked Potential”, Electroencephalography and Clinical Neurophysiology, 1970, vol. 29, pp. 201–203.
  • E. Donchin, K.M. Spencer, and R. Wijesinghe, “The Mental Prosthesis: [13] Assessing the Speed of a P300-based Brain–Computer Interface”, IEEE Transactions on Rehabilitation Engineering, 2000, vol. 8, pp. 174–179.
  • L.A. Farwell, and E. Donchin, “Talking Off the Top of Your Head: Toward a [14] Mental Prothesis Utilizing Event-related Brain Potentials”, Electroencephalography and Clinical Neurophysiology, 1988, vol. 70, pp. 510–523.
  • H.H. Jasper, “The Ten Twenty Electrode System of the International [15] Federation”, Electroencephalography and Clinical Neurophysiology, 1958, vol. 10, pp. 371–375.
  • G. Schalk, and J. Melliger, “BCI2000 Bulletin Board: Channels for P300 [16] Experiments”, available in: http://www.bci2000.org/phpbb/viewtopic.php?f=2&t=918&p=3263, 2011.
  • D.J. McFarland, L.M. McCane, S.V. David, and J.R. Wolpaw, “Spatial Filter [17] Selection for EEG-based Communication”, Electroencephalography and Clinical Neurophysiology, 1997, vol. 103, pp. 386–394.
  • Schalk, G., and J. Mellinger, A Practical Guide to Brain-Computer [18] Interfacing with BCI2000, Springer-Verlag London, 2010.