Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

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

López Celani, Natalia MartinaIcon ; Orosco, Eugenio ConradoIcon ; Pérez Berenguer, María ElisaIcon ; Bajinay, Sergio; Zanetti, Roberto; Valentinuzzi, MaximoIcon
Fecha de publicación: 05/2015
Editorial: International Journal of engineering
Revista: International Journal of Engineering and Innovative Technology
ISSN: 2277-3754
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ingeniería Médica

Resumen

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.
Palabras clave: Assitive Device , Human-Computer Interface , Electro-Oculogram , Electromyographic Signal
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 698.0Kb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/101743
URL: http://www.ijeit.com/archive/48/volume-4-issue-11-may-2015.html
URL: http://www.ijeit.com/Vol%204/Issue%2011/IJEIT1412201505_27.pdf
Colecciones
Articulos(CCT - SAN JUAN)
Articulos de CENTRO CIENTIFICO TECNOLOGICO CONICET - SAN JUAN
Articulos(INAUT)
Articulos de INSTITUTO DE AUTOMATICA
Citación
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
Compartir

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES