Loading…
Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications
Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable tool to restore communication skills in severely motor-disabled patients, as BCI...
Saved in:
Published in: | Sensors (Basel, Switzerland) Switzerland), 2021-05, Vol.21 (11), p.3716 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c446t-8f6b81b137d50a9a253b55f3beb92893216ceb744a87e4703666c4bd2ae74033 |
---|---|
cites | cdi_FETCH-LOGICAL-c446t-8f6b81b137d50a9a253b55f3beb92893216ceb744a87e4703666c4bd2ae74033 |
container_end_page | |
container_issue | 11 |
container_start_page | 3716 |
container_title | Sensors (Basel, Switzerland) |
container_volume | 21 |
creator | Velasco-Álvarez, Francisco Fernández-Rodríguez, Álvaro Vizcaíno-Martín, Francisco-Javier Díaz-Estrella, Antonio Ron-Angevin, Ricardo |
description | Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable tool to restore communication skills in severely motor-disabled patients, as BCI do not rely on muscular control. The loss of communication is one of the most negative consequences reported by such patients. This paper presents a BCI system focused on the control of four mainstream messaging applications running in a smartphone: WhatsApp, Telegram, e-mail and short message service (SMS). The control of the BCI is achieved through the well-known visual P300 row-column paradigm (RCP), allowing the user to select control commands as well as spelling characters. For the control of the smartphone, the system sends synthesized voice commands that are interpreted by a virtual assistant running in the smartphone. Four tasks related to the four mentioned messaging services were tested with 15 healthy volunteers, most of whom were able to accomplish the tasks, which included sending free text e-mails to an address proposed by the subjects themselves. The online performance results obtained, as well as the results of subjective questionnaires, support the viability of the proposed system. |
doi_str_mv | 10.3390/s21113716 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_7b989846a928411c8fdbcc5480c15093</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_7b989846a928411c8fdbcc5480c15093</doaj_id><sourcerecordid>2536495097</sourcerecordid><originalsourceid>FETCH-LOGICAL-c446t-8f6b81b137d50a9a253b55f3beb92893216ceb744a87e4703666c4bd2ae74033</originalsourceid><addsrcrecordid>eNpdkktuFDEQhlsIREJgwQ0ssUkWA361294gTVo8RkrEgoitVXa7Jx712I3tjsSOO3BDToKHiSLCplwq__rqr1I1zWuC3zKm8LtMCSGsI-JJc0o45StJKX76T37SvMh5hzFljMnnzQnjuGMC09Nmvkzgw--fv_q4n5fiEtqEGkewDp1f9psL1MdQUpxQHBGgbz6VBSa0ztnnAqEgH2r56x5SmW9jcKhEdA0Btg5du5xh68MWred58haKjyG_bJ6NMGX36v49a24-frjpP6-uvnza9OurleVclJUchZHE1KmGFoMC2jLTtiMzzigqFaNEWGc6zkF2jneYCSEsNwMF13HM2FmzOWKHCDs9J18d_tARvP5biGmrq2VvJ6c7o6SSXEAFc0KsHAdjbcsltqTF6sB6f2TNi9m7wbq6EJgeQR__BH-rt_FOS6IUF7gCzu8BKX5fXC5677N10wTBxSXrOpzgqvbqqvTNf9JdXFKomzqolJKEiYPq4qiyKeac3PhghmB9OAn9cBLsD8CsprA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2539981367</pqid></control><display><type>article</type><title>Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications</title><source>Publicly Available Content (ProQuest)</source><source>PubMed Central</source><creator>Velasco-Álvarez, Francisco ; Fernández-Rodríguez, Álvaro ; Vizcaíno-Martín, Francisco-Javier ; Díaz-Estrella, Antonio ; Ron-Angevin, Ricardo</creator><creatorcontrib>Velasco-Álvarez, Francisco ; Fernández-Rodríguez, Álvaro ; Vizcaíno-Martín, Francisco-Javier ; Díaz-Estrella, Antonio ; Ron-Angevin, Ricardo</creatorcontrib><description>Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable tool to restore communication skills in severely motor-disabled patients, as BCI do not rely on muscular control. The loss of communication is one of the most negative consequences reported by such patients. This paper presents a BCI system focused on the control of four mainstream messaging applications running in a smartphone: WhatsApp, Telegram, e-mail and short message service (SMS). The control of the BCI is achieved through the well-known visual P300 row-column paradigm (RCP), allowing the user to select control commands as well as spelling characters. For the control of the smartphone, the system sends synthesized voice commands that are interpreted by a virtual assistant running in the smartphone. Four tasks related to the four mentioned messaging services were tested with 15 healthy volunteers, most of whom were able to accomplish the tasks, which included sending free text e-mails to an address proposed by the subjects themselves. The online performance results obtained, as well as the results of subjective questionnaires, support the viability of the proposed system.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s21113716</identifier><identifier>PMID: 34073602</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Amyotrophic lateral sclerosis ; Application programming interface ; assistive technology ; brain–computer interface (BCI) ; Communication channels ; Communication skills ; Control systems ; Electroencephalography ; Electromyography ; Human-computer interface ; messaging applications ; P300 ; Patients ; Running ; Sensors ; Short message service ; Smartphones ; Telegram ; Web browsers ; WhatsApp ; Wheelchairs</subject><ispartof>Sensors (Basel, Switzerland), 2021-05, Vol.21 (11), p.3716</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-8f6b81b137d50a9a253b55f3beb92893216ceb744a87e4703666c4bd2ae74033</citedby><cites>FETCH-LOGICAL-c446t-8f6b81b137d50a9a253b55f3beb92893216ceb744a87e4703666c4bd2ae74033</cites><orcidid>0000-0001-8721-0585 ; 0000-0002-5235-5597 ; 0000-0002-3421-976X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2539981367/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2539981367?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><creatorcontrib>Velasco-Álvarez, Francisco</creatorcontrib><creatorcontrib>Fernández-Rodríguez, Álvaro</creatorcontrib><creatorcontrib>Vizcaíno-Martín, Francisco-Javier</creatorcontrib><creatorcontrib>Díaz-Estrella, Antonio</creatorcontrib><creatorcontrib>Ron-Angevin, Ricardo</creatorcontrib><title>Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications</title><title>Sensors (Basel, Switzerland)</title><description>Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable tool to restore communication skills in severely motor-disabled patients, as BCI do not rely on muscular control. The loss of communication is one of the most negative consequences reported by such patients. This paper presents a BCI system focused on the control of four mainstream messaging applications running in a smartphone: WhatsApp, Telegram, e-mail and short message service (SMS). The control of the BCI is achieved through the well-known visual P300 row-column paradigm (RCP), allowing the user to select control commands as well as spelling characters. For the control of the smartphone, the system sends synthesized voice commands that are interpreted by a virtual assistant running in the smartphone. Four tasks related to the four mentioned messaging services were tested with 15 healthy volunteers, most of whom were able to accomplish the tasks, which included sending free text e-mails to an address proposed by the subjects themselves. The online performance results obtained, as well as the results of subjective questionnaires, support the viability of the proposed system.</description><subject>Amyotrophic lateral sclerosis</subject><subject>Application programming interface</subject><subject>assistive technology</subject><subject>brain–computer interface (BCI)</subject><subject>Communication channels</subject><subject>Communication skills</subject><subject>Control systems</subject><subject>Electroencephalography</subject><subject>Electromyography</subject><subject>Human-computer interface</subject><subject>messaging applications</subject><subject>P300</subject><subject>Patients</subject><subject>Running</subject><subject>Sensors</subject><subject>Short message service</subject><subject>Smartphones</subject><subject>Telegram</subject><subject>Web browsers</subject><subject>WhatsApp</subject><subject>Wheelchairs</subject><issn>1424-8220</issn><issn>1424-8220</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkktuFDEQhlsIREJgwQ0ssUkWA361294gTVo8RkrEgoitVXa7Jx712I3tjsSOO3BDToKHiSLCplwq__rqr1I1zWuC3zKm8LtMCSGsI-JJc0o45StJKX76T37SvMh5hzFljMnnzQnjuGMC09Nmvkzgw--fv_q4n5fiEtqEGkewDp1f9psL1MdQUpxQHBGgbz6VBSa0ztnnAqEgH2r56x5SmW9jcKhEdA0Btg5du5xh68MWred58haKjyG_bJ6NMGX36v49a24-frjpP6-uvnza9OurleVclJUchZHE1KmGFoMC2jLTtiMzzigqFaNEWGc6zkF2jneYCSEsNwMF13HM2FmzOWKHCDs9J18d_tARvP5biGmrq2VvJ6c7o6SSXEAFc0KsHAdjbcsltqTF6sB6f2TNi9m7wbq6EJgeQR__BH-rt_FOS6IUF7gCzu8BKX5fXC5677N10wTBxSXrOpzgqvbqqvTNf9JdXFKomzqolJKEiYPq4qiyKeac3PhghmB9OAn9cBLsD8CsprA</recordid><startdate>20210526</startdate><enddate>20210526</enddate><creator>Velasco-Álvarez, Francisco</creator><creator>Fernández-Rodríguez, Álvaro</creator><creator>Vizcaíno-Martín, Francisco-Javier</creator><creator>Díaz-Estrella, Antonio</creator><creator>Ron-Angevin, Ricardo</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8721-0585</orcidid><orcidid>https://orcid.org/0000-0002-5235-5597</orcidid><orcidid>https://orcid.org/0000-0002-3421-976X</orcidid></search><sort><creationdate>20210526</creationdate><title>Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications</title><author>Velasco-Álvarez, Francisco ; Fernández-Rodríguez, Álvaro ; Vizcaíno-Martín, Francisco-Javier ; Díaz-Estrella, Antonio ; Ron-Angevin, Ricardo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-8f6b81b137d50a9a253b55f3beb92893216ceb744a87e4703666c4bd2ae74033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Amyotrophic lateral sclerosis</topic><topic>Application programming interface</topic><topic>assistive technology</topic><topic>brain–computer interface (BCI)</topic><topic>Communication channels</topic><topic>Communication skills</topic><topic>Control systems</topic><topic>Electroencephalography</topic><topic>Electromyography</topic><topic>Human-computer interface</topic><topic>messaging applications</topic><topic>P300</topic><topic>Patients</topic><topic>Running</topic><topic>Sensors</topic><topic>Short message service</topic><topic>Smartphones</topic><topic>Telegram</topic><topic>Web browsers</topic><topic>WhatsApp</topic><topic>Wheelchairs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Velasco-Álvarez, Francisco</creatorcontrib><creatorcontrib>Fernández-Rodríguez, Álvaro</creatorcontrib><creatorcontrib>Vizcaíno-Martín, Francisco-Javier</creatorcontrib><creatorcontrib>Díaz-Estrella, Antonio</creatorcontrib><creatorcontrib>Ron-Angevin, Ricardo</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Velasco-Álvarez, Francisco</au><au>Fernández-Rodríguez, Álvaro</au><au>Vizcaíno-Martín, Francisco-Javier</au><au>Díaz-Estrella, Antonio</au><au>Ron-Angevin, Ricardo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><date>2021-05-26</date><risdate>2021</risdate><volume>21</volume><issue>11</issue><spage>3716</spage><pages>3716-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable tool to restore communication skills in severely motor-disabled patients, as BCI do not rely on muscular control. The loss of communication is one of the most negative consequences reported by such patients. This paper presents a BCI system focused on the control of four mainstream messaging applications running in a smartphone: WhatsApp, Telegram, e-mail and short message service (SMS). The control of the BCI is achieved through the well-known visual P300 row-column paradigm (RCP), allowing the user to select control commands as well as spelling characters. For the control of the smartphone, the system sends synthesized voice commands that are interpreted by a virtual assistant running in the smartphone. Four tasks related to the four mentioned messaging services were tested with 15 healthy volunteers, most of whom were able to accomplish the tasks, which included sending free text e-mails to an address proposed by the subjects themselves. The online performance results obtained, as well as the results of subjective questionnaires, support the viability of the proposed system.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>34073602</pmid><doi>10.3390/s21113716</doi><orcidid>https://orcid.org/0000-0001-8721-0585</orcidid><orcidid>https://orcid.org/0000-0002-5235-5597</orcidid><orcidid>https://orcid.org/0000-0002-3421-976X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1424-8220 |
ispartof | Sensors (Basel, Switzerland), 2021-05, Vol.21 (11), p.3716 |
issn | 1424-8220 1424-8220 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_7b989846a928411c8fdbcc5480c15093 |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Amyotrophic lateral sclerosis Application programming interface assistive technology brain–computer interface (BCI) Communication channels Communication skills Control systems Electroencephalography Electromyography Human-computer interface messaging applications P300 Patients Running Sensors Short message service Smartphones Telegram Web browsers Wheelchairs |
title | Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T18%3A01%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Brain%E2%80%93Computer%20Interface%20(BCI)%20Control%20of%20a%20Virtual%20Assistant%20in%20a%20Smartphone%20to%20Manage%20Messaging%20Applications&rft.jtitle=Sensors%20(Basel,%20Switzerland)&rft.au=Velasco-%C3%81lvarez,%20Francisco&rft.date=2021-05-26&rft.volume=21&rft.issue=11&rft.spage=3716&rft.pages=3716-&rft.issn=1424-8220&rft.eissn=1424-8220&rft_id=info:doi/10.3390/s21113716&rft_dat=%3Cproquest_doaj_%3E2536495097%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c446t-8f6b81b137d50a9a253b55f3beb92893216ceb744a87e4703666c4bd2ae74033%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2539981367&rft_id=info:pmid/34073602&rfr_iscdi=true |