A 6DOF gravity compensation scheme for a phantom premium using a neural network.
Stud Health Technol Inform
; 125: 43-8, 2007.
Article
en En
| MEDLINE
| ID: mdl-17377231
ABSTRACT
Current uses of haptic hardware such as the Phantom Premium 6DOF for surgical simulators lack the desired interface transparency and could cause artefacts in the training regime of a student training on a simulator. This problem is addressed and two neural networks are used to find a mapping between handle coordinates and orientation and force output required to counteract gravitational forces. A close fit to the data is achieved for both networks (errors of 0.00149 and 0.0157 between training and predicted forces) and 3DOF gravity compensation is achieved. A 6DOF simulator is created but requires further work to improve it accuracy.
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Base de datos:
MEDLINE
Asunto principal:
Simulación por Computador
/
Programas Informáticos
/
Redes Neurales de la Computación
/
Gravitación
Tipo de estudio:
Prognostic_studies
País/Región como asunto:
Europa
Idioma:
En
Revista:
Stud Health Technol Inform
Asunto de la revista:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Año:
2007
Tipo del documento:
Article