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

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.

[1]  E. Donchin,et al.  The contingent negative variation and the late positive wave of the average evoked potential. , 1970, Electroencephalography and clinical neurophysiology.

[2]  Takanori Shibata,et al.  Emergence of Affective Behaviors through Physical Interaction between Human and Mental Commit Robot , 2001, J. Robotics Mechatronics.

[3]  Iñaki Iturrate,et al.  A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation , 2009, IEEE Transactions on Robotics.

[4]  P. Cheung,et al.  Self- Esteem , 1985 .

[5]  E Donchin,et al.  Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[6]  Michael Bensch,et al.  Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  John Dixon,et al.  The Design of Future Things , 2010 .

[8]  N.S. Dias,et al.  Subject Age in P300 BCI , 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005..

[9]  A Kübler,et al.  A P 300-based brain-computer interface for people with amyotrophic lateral sclerosis , 2010 .

[10]  J. Wolpaw,et al.  A P300-based brain–computer interface for people with amyotrophic lateral sclerosis , 2008, Clinical Neurophysiology.

[11]  Rebeca Corralejo,et al.  A Domotic Control System Using Brain-Computer Interface (BCI) , 2011, IWANN.

[12]  W. Banks,et al.  Animal-assisted therapy and loneliness in nursing homes: use of robotic versus living dogs. , 2008, Journal of the American Medical Directors Association.

[13]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[14]  Abdulmotaleb El-Saddik,et al.  Serious games , 2011, ACM Multimedia.

[15]  J R Wolpaw,et al.  Spatial filter selection for EEG-based communication. , 1997, Electroencephalography and clinical neurophysiology.

[16]  M.Q.-H. Meng,et al.  Development of a robotic device for facilitating learning by children who have severe disabilities , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[18]  Javier Minguez,et al.  Human brain-teleoperated robot between remote places , 2009, 2009 IEEE International Conference on Robotics and Automation.

[19]  E. Donchin,et al.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.

[20]  E Donchin,et al.  The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[21]  R.Y. Lee,et al.  Using a robotic arm system to facilitate learning in very young disabled children , 1988, IEEE Transactions on Biomedical Engineering.

[22]  Jasmin Christian Blanchette,et al.  C++ GUI programming with Qt 4 , 2004 .

[23]  T. Tamura,et al.  Is an entertainment robot useful in the care of elderly people with severe dementia? , 2004, The journals of gerontology. Series A, Biological sciences and medical sciences.

[24]  Touradj Ebrahimi,et al.  An efficient P300-based brain–computer interface for disabled subjects , 2008, Journal of Neuroscience Methods.

[25]  F. Rösler,et al.  Event-related potentials during auditory and somatosensory discrimination in sighted and blind human subjects. , 1996, Brain research. Cognitive brain research.

[26]  Andrew Ortony,et al.  The Cognitive Structure of Emotions , 1988 .

[27]  A. Cook,et al.  School-based use of a robotic arm system by children with disabilities , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.