Artículo
Robust human machine interface based on head movements applied to assistive robotics
Perez, Elisa; López Celani, Natalia Martina
; Orosco, Eugenio Conrado
; Soria, Carlos Miguel
; Mut, Vicente Antonio
; Freire Bastos, Teodiano
Fecha de publicación:
10/2013
Editorial:
Hindawi Publishing Corporation
Revista:
The Scientific World Journal
ISSN:
2356-6140
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This paper presents an interface that uses two different sensing techniques and combines both results through a fusion process to obtain the minimum-variance estimator of the orientation of the user’s head. Sensing techniques of the interface are based on an inertial sensor and artificial vision. The orientation of the user’s head is used to steer the navigation of a robotic wheelchair. Also, a control algorithm for assistive technology system is presented. The system is evaluated by four individuals with severe motors disability and a quantitative index was developed, in order to objectively evaluate the performance. The results obtained are promising since most users could perform the proposed tasks with the robotic wheelchair.
Palabras clave:
Robotic Wheelchair
,
Sensor Fusion
,
Vision Based Interface
,
Inertial Sensor
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Identificadores
Colecciones
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Perez, Elisa; López Celani, Natalia Martina; Orosco, Eugenio Conrado; Soria, Carlos Miguel; Mut, Vicente Antonio; et al.; Robust human machine interface based on head movements applied to assistive robotics; Hindawi Publishing Corporation; The Scientific World Journal; 2013; 10-2013; 1-11; 589636
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