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dc.contributor.authorGarcía, Liliana
dc.contributor.authorRon-Angevin, Ricardo 
dc.contributor.authorLoubière, Bertrand
dc.contributor.authorRenault, Loic
dc.contributor.authorLe Masson, Gwendal
dc.contributor.authorLespinet-Najib, Véronique
dc.contributor.authorAndré, Jean-Marc
dc.date.accessioned2017-06-28T07:24:43Z
dc.date.available2017-06-28T07:24:43Z
dc.date.created2017
dc.date.issued2017
dc.identifier.citationGarcía L. et al. (2017) A Comparison of a Brain-Computer Interface and an Eye Tracker: Is There a More Appropriate Technology for Controlling a Virtual Keyboard in an ALS Patient?. In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science, vol 10306. Springer, Chames_ES
dc.identifier.urihttp://hdl.handle.net/10630/14021
dc.description.abstractThe ability of people affected by amyotrophic lateral sclerosis (ALS), muscular dystrophy or spinal cord injuries to physically interact with the environment, is usually reduced. In some cases, these patients suffer from a syndrome known as locked-in syndrome (LIS), defined by the patient’s inability to make any move-ment but blinks and eye movements. Tech communication systems available for people in LIS are very limited, being those based on eye-tracking and brain-computer interface (BCI) the most useful for these patients. A comparative study between both technologies in an ALS patient is carried out: an eye tracker and a visual P300-based BCI. The purpose of the study presented in this paper is to show that the choice of the technology could depend on user´s preference. The evaluation of performance, workload and other subjective measures will allow us to determine the usability of the systems. The obtained results suggest that, even if for this patient the BCI technology is more appropriate, the technology should be always tested and adapted for each user.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectEsclerosis lateral amiotróficaes_ES
dc.subject.otherBrain-Computer Interface (BCI)es_ES
dc.subject.otherEye trackeres_ES
dc.subject.otherALSes_ES
dc.subject.otherUsabilityes_ES
dc.titleA Comparison of a Brain-Computer Interface and an Eye Tracker: Is There a More Appropriate Technology for Controlling a Virtual Keyboard in an ALS Patient?es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.relation.eventtitleInternational Conference on Artificial Neural Networks (IWANN) 2017es_ES
dc.relation.eventplaceCádiz (España)es_ES
dc.relation.eventdatejunio 2017es_ES
dc.identifier.orcidhttps://orcid.org/0000-0001-8721-0585es_ES
dc.cclicenseby-nc-ndes_ES


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