Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People

Autores
López Celani, Natalia Martina; Orosco, Eugenio Conrado; Pérez Berenguer, María Elisa; Bajinay, Sergio; Zanetti, Roberto; Valentinuzzi, Maximo
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper describes a hybrid human-machine interface, based on electro-oculogram (EOG) and electromyogram (EMG), which allows the mouse control of a personal computer using eye movement and the voluntary contraction of any facial muscle. The bioelectrical signals are sensed through adhesives electrodes, and acquired by a custom designed portable and wireless system. The mouse can be moved in any direction, vertical, horizontal and diagonal, by two EOG channels and the EMG signal is used to perform the mouse click action. Blinks are avoided by a decision algorithm and the natural reading of the screen is possible with a specially designed software. A virtual keyboard was used for the experiments with healthy people and with a severely disabled patient. The results demonstrate an intuitive and accessible control, evaluated in terms of performance, time for task execution and user´s acceptance. Besides, a quantitative index to estimate the training impact was computed with good results.
Fil: López Celani, Natalia Martina. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Orosco, Eugenio Conrado. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Pérez Berenguer, María Elisa. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Bajinay, Sergio. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Zanetti, Roberto. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Valentinuzzi, Maximo. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Materia
Assitive Device
Human-Computer Interface
Electro-Oculogram
Electromyographic Signal
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/101743
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Hybrid Human-Machine Interface to Mouse Control for Severely Disabled PeopleLópez Celani, Natalia MartinaOrosco, Eugenio ConradoPérez Berenguer, María ElisaBajinay, SergioZanetti, RobertoValentinuzzi, MaximoAssitive DeviceHuman-Computer InterfaceElectro-OculogramElectromyographic Signalhttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2This paper describes a hybrid human-machine interface, based on electro-oculogram (EOG) and electromyogram (EMG), which allows the mouse control of a personal computer using eye movement and the voluntary contraction of any facial muscle. The bioelectrical signals are sensed through adhesives electrodes, and acquired by a custom designed portable and wireless system. The mouse can be moved in any direction, vertical, horizontal and diagonal, by two EOG channels and the EMG signal is used to perform the mouse click action. Blinks are avoided by a decision algorithm and the natural reading of the screen is possible with a specially designed software. A virtual keyboard was used for the experiments with healthy people and with a severely disabled patient. The results demonstrate an intuitive and accessible control, evaluated in terms of performance, time for task execution and user´s acceptance. Besides, a quantitative index to estimate the training impact was computed with good results.Fil: López Celani, Natalia Martina. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; ArgentinaFil: Orosco, Eugenio Conrado. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Pérez Berenguer, María Elisa. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; ArgentinaFil: Bajinay, Sergio. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; ArgentinaFil: Zanetti, Roberto. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; ArgentinaFil: Valentinuzzi, Maximo. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; ArgentinaInternational Journal of engineering2015-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/101743López Celani, Natalia Martina; Orosco, Eugenio Conrado; Pérez Berenguer, María Elisa; Bajinay, Sergio; Zanetti, Roberto; et al.; Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People; International Journal of engineering ; International Journal of Engineering and Innovative Technology; 4; 11; 5-2015; 164-1712277-3754CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.ijeit.com/archive/48/volume-4-issue-11-may-2015.htmlinfo:eu-repo/semantics/altIdentifier/url/http://www.ijeit.com/Vol%204/Issue%2011/IJEIT1412201505_27.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:04:05Zoai:ri.conicet.gov.ar:11336/101743instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 10:04:06.109CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
title Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
spellingShingle Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
López Celani, Natalia Martina
Assitive Device
Human-Computer Interface
Electro-Oculogram
Electromyographic Signal
title_short Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
title_full Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
title_fullStr Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
title_full_unstemmed Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
title_sort Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
dc.creator.none.fl_str_mv López Celani, Natalia Martina
Orosco, Eugenio Conrado
Pérez Berenguer, María Elisa
Bajinay, Sergio
Zanetti, Roberto
Valentinuzzi, Maximo
author López Celani, Natalia Martina
author_facet López Celani, Natalia Martina
Orosco, Eugenio Conrado
Pérez Berenguer, María Elisa
Bajinay, Sergio
Zanetti, Roberto
Valentinuzzi, Maximo
author_role author
author2 Orosco, Eugenio Conrado
Pérez Berenguer, María Elisa
Bajinay, Sergio
Zanetti, Roberto
Valentinuzzi, Maximo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Assitive Device
Human-Computer Interface
Electro-Oculogram
Electromyographic Signal
topic Assitive Device
Human-Computer Interface
Electro-Oculogram
Electromyographic Signal
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper describes a hybrid human-machine interface, based on electro-oculogram (EOG) and electromyogram (EMG), which allows the mouse control of a personal computer using eye movement and the voluntary contraction of any facial muscle. The bioelectrical signals are sensed through adhesives electrodes, and acquired by a custom designed portable and wireless system. The mouse can be moved in any direction, vertical, horizontal and diagonal, by two EOG channels and the EMG signal is used to perform the mouse click action. Blinks are avoided by a decision algorithm and the natural reading of the screen is possible with a specially designed software. A virtual keyboard was used for the experiments with healthy people and with a severely disabled patient. The results demonstrate an intuitive and accessible control, evaluated in terms of performance, time for task execution and user´s acceptance. Besides, a quantitative index to estimate the training impact was computed with good results.
Fil: López Celani, Natalia Martina. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Orosco, Eugenio Conrado. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Pérez Berenguer, María Elisa. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Bajinay, Sergio. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Zanetti, Roberto. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
Fil: Valentinuzzi, Maximo. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
description This paper describes a hybrid human-machine interface, based on electro-oculogram (EOG) and electromyogram (EMG), which allows the mouse control of a personal computer using eye movement and the voluntary contraction of any facial muscle. The bioelectrical signals are sensed through adhesives electrodes, and acquired by a custom designed portable and wireless system. The mouse can be moved in any direction, vertical, horizontal and diagonal, by two EOG channels and the EMG signal is used to perform the mouse click action. Blinks are avoided by a decision algorithm and the natural reading of the screen is possible with a specially designed software. A virtual keyboard was used for the experiments with healthy people and with a severely disabled patient. The results demonstrate an intuitive and accessible control, evaluated in terms of performance, time for task execution and user´s acceptance. Besides, a quantitative index to estimate the training impact was computed with good results.
publishDate 2015
dc.date.none.fl_str_mv 2015-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/101743
López Celani, Natalia Martina; Orosco, Eugenio Conrado; Pérez Berenguer, María Elisa; Bajinay, Sergio; Zanetti, Roberto; et al.; Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People; International Journal of engineering ; International Journal of Engineering and Innovative Technology; 4; 11; 5-2015; 164-171
2277-3754
CONICET Digital
CONICET
url http://hdl.handle.net/11336/101743
identifier_str_mv López Celani, Natalia Martina; Orosco, Eugenio Conrado; Pérez Berenguer, María Elisa; Bajinay, Sergio; Zanetti, Roberto; et al.; Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People; International Journal of engineering ; International Journal of Engineering and Innovative Technology; 4; 11; 5-2015; 164-171
2277-3754
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ijeit.com/archive/48/volume-4-issue-11-may-2015.html
info:eu-repo/semantics/altIdentifier/url/http://www.ijeit.com/Vol%204/Issue%2011/IJEIT1412201505_27.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv International Journal of engineering
publisher.none.fl_str_mv International Journal of engineering
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.082534

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