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dc.contributor.author
López Celani, Natalia Martina
dc.contributor.author
Orosco, Eugenio Conrado
dc.contributor.author
Pérez Berenguer, María Elisa
dc.contributor.author
Bajinay, Sergio
dc.contributor.author
Zanetti, Roberto
dc.contributor.author
Valentinuzzi, Maximo
dc.date.available
2020-04-02T20:25:33Z
dc.date.issued
2015-05
dc.identifier.citation
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
dc.identifier.issn
2277-3754
dc.identifier.uri
http://hdl.handle.net/11336/101743
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
International Journal of engineering
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Assitive Device
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Human-Computer Interface
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Electro-Oculogram
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Electromyographic Signal
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Otras Ingeniería Médica
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Ingeniería Médica
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Hybrid Human-Machine Interface to Mouse Control for Severely Disabled People
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-04-01T16:02:36Z
dc.journal.volume
4
dc.journal.number
11
dc.journal.pagination
164-171
dc.journal.pais
India
dc.description.fil
Fil: López Celani, Natalia Martina. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
dc.description.fil
Fil: Orosco, Eugenio Conrado. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
dc.description.fil
Fil: Pérez Berenguer, María Elisa. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
dc.description.fil
Fil: Bajinay, Sergio. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
dc.description.fil
Fil: Zanetti, Roberto. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
dc.description.fil
Fil: Valentinuzzi, Maximo. Universidad Nacional de San Juan. Facultad de Ingeniería. Departamento de Electrónica y Automática. Gabinete de Tecnología Médica; Argentina
dc.journal.title
International Journal of Engineering and Innovative Technology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ijeit.com/archive/48/volume-4-issue-11-may-2015.html
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ijeit.com/Vol%204/Issue%2011/IJEIT1412201505_27.pdf
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