Result: Transferring brain―computer interfaces beyond the laboratory: Successful application control for motor-disabled users

Title:
Transferring brain―computer interfaces beyond the laboratory: Successful application control for motor-disabled users
Source:
Brain - computer interfacingArtificial intelligence in medicine (Print). 59(2):121-132
Publisher Information:
Amsterdam: Elsevier, 2013.
Publication Year:
2013
Physical Description:
print, 44 ref
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Psychologie. Psychophysiologie, Psychology. Psychophysiology, Cognition. Intelligence, Imagerie mentale. Représentation mentale, Mental imagery. Mental representation, Sciences medicales, Medical sciences, Techniques d'exploration et de diagnostic (generalites), Investigative techniques, diagnostic techniques (general aspects), Electrodiagnostic. Enregistrement des activités électriques, Electrodiagnosis. Electric activity recording, Système nerveux, Nervous system, Psychologie. Psychanalyse. Psychiatrie, Psychology. Psychoanalysis. Psychiatry, A domicile, At home, A domicilio, Aide handicapé, Handicapped aid, Ayuda minusválido, Cerveau, Brain, Cerebro, Electroencéphalographie, Electroencephalography, Electroencefalografía, Expert, Experto, Handicap moteur, Motor handicap, Deficiencia motora, Imagerie motrice, Motor imagery, Imaginería motriz, Interface utilisateur, User interface, Interfase usuario, Maturité, Maturity, Madurez, Mobilité, Mobility, Movilidad, Prototype, Prototipo, Réadaptation physique, Physical rehabilitation, Readaptación física, Télémédecine, Telemedicine, Telemedicina, Application control, Brain―computer interface (BCI), Electroencephalogram (EEG), End-user, Technology transfer
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, École Poly technique Fédérale de Lausanne, Station 11, 1015 Lausanne, Switzerland
Clinique Romande de Réadaptation-Suvacare, Avenue du Grand-Champsec 90, 1950 Sion, Switzerland
ISSN:
0933-3657
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Psychology. Ethology

Scanning and diagnostic techniques (generalities)

FRANCIS
Accession Number:
edscal.27953669
Database:
PASCAL Archive

Further Information

Objectives: Brain―computer interfaces (BCIs) are no longer only used by healthy participants under controlled conditions in laboratory environments, but also by patients and end-users, controlling applications in their homes or clinics, without the BCI experts around. But are the technology and the field mature enough for this? Especially the successful operation of applications ― like text entry systems or assistive mobility devices such as tele-presence robots ― requires a good level of BCI control. How much training is needed to achieve such a level? Is it possible to train naïve end-users in 10 days to successfully control such applications? Materials and methods: In this work, we report our experiences of training 24 motor-disabled participants at rehabilitation clinics or at the end-users' homes, without BCI experts present. We also share the lessons that we have learned through transferring BCI technologies from the lab to the user's home or clinics. Results: The most important outcome is that 50% of the participants achieved good BCI performance and could successfully control the applications (tele-presence robot and text-entry system). In the case of the tele-presence robot the participants achieved an average performance ratio of 0.87 (max. 0.97) and for the text entry application a mean of 0.93 (max. 1.0). The lessons learned and the gathered user feedback range from pure BCI problems (technical and handling), to common communication issues among the different people involved, and issues encountered while controlling the applications. Conclusion: The points raised in this paper are very widely applicable and we anticipate that they might be faced similarly by other groups, if they move on to bringing the BCI technology to the end-user, to home environments and towards application prototype control.