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dc.contributor.author
López Celani, Natalia Martina  
dc.contributor.author
Orosco, Eugenio Conrado  
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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  
dc.subject
Human-Computer Interface  
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Electro-Oculogram  
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Electromyographic Signal  
dc.subject.classification
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