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dc.contributor.authorVelasco-Álvarez, Francisco Javier 
dc.contributor.authorFernández-Rodríguez, Álvaro 
dc.contributor.authorRon-Angevin, Ricardo 
dc.date.accessioned2022-09-09T12:42:34Z
dc.date.available2022-09-09T12:42:34Z
dc.date.issued2022-10-14
dc.identifier.citationFrancisco Velasco-Álvarez, Álvaro Fernández-Rodríguez, Ricardo Ron-Angevin, Brain-computer interface (BCI)-generated speech to control domotic devices, Neurocomputing, Volume 509, 2022, Pages 121-136, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2022.08.068es_ES
dc.identifier.urihttps://hdl.handle.net/10630/24934
dc.description.abstractA brain-computer interface (BCI) is a type of technology that establishes a communication channel between a user and certain devices in the environment via the brain signals of the user. The UMA-BCI Speller tool allows for easy configuration of a BCI, permitting it to be manipulated without the need for much technical knowledge. However, adapting a BCI system so that it can communicate with devices is a challenging task. A simpler technology that is increasingly used to enable communication with devices in the environment is based on voice commands. The aim of the present work is therefore to create a system to facilitate communication between a BCI and devices in the environment using voice commands. Twelve healthy participants and three amyotrophic lateral sclerosis (ALS) patients were asked to control a BCI home automation system. The devices to be controlled were a television, an air conditioner, a smart light bulb, a smart plug, and the WhatsApp and Spotify apps. Performance measures were recorded, and subjective measures were collected based on the System usability scale, NASA-TLX and ad hoc questionnaires. The results of this study validate the proposed system as a suitable option to facilitate communication between a BCI and commercial devices that have been previously adapted to operate based on voice commands.es_ES
dc.description.sponsorshipThis work is part of the SICCAU project (RTI2018-100912-BI00), which has been jointly funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), the Spanish State Investigation Agency (AEI) and the European Regional Development Fund (ERDF). Moreover, the authors would like to thank all participants for their cooperation. Funding for open access charge: Universidad de Málaga / CBUA.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherBrain-computer interface (BCI)es_ES
dc.subject.otherEvent-related potential (ERP)es_ES
dc.subject.otherAssistive technologyes_ES
dc.subject.otherDomotic Speech generationes_ES
dc.subject.otherVirtual assistanes_ES
dc.titleBrain-computer interface (BCI)-generated speech to control domotic deviceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2022.08.068
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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