Your browser doesn't support javascript.
loading
Compensation for loads during arm movements using equilibrium-point control.
Gribble, P L; Ostry, D J.
Afiliação
  • Gribble PL; Department of Psychology, The University of Western Ontrario, London, Canada. pgribble@spindle.ssc.uwo.ca
Exp Brain Res ; 135(4): 474-82, 2000 Dec.
Article em En | MEDLINE | ID: mdl-11156311
A significant problem in motor control is how information about movement error is used to modify control signals to achieve desired performance. A potential source of movement error and one that is readily controllable experimentally relates to limb dynamics and associated movement-dependent loads. In this paper, we have used a position control model to examine changes to control signals for arm movements in the context of movement-dependent loads. In the model, based on the equilibrium-point hypothesis, equilibrium shifts are adjusted directly in proportion to the positional error between desired and actual movements. The model is used to simulate multi-joint movements in the presence of both "internal" loads due to joint interaction torques, and externally applied loads resulting from velocity-dependent force fields. In both cases it is shown that the model can achieve close correspondence to empirical data using a simple linear adaptation procedure. An important feature of the model is that it achieves compensation for loads during movement without the need for either coordinate transformations between positional error and associated corrective forces, or inverse dynamics calculations.
Assuntos
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Braço / Equilíbrio Postural / Modelos Neurológicos / Movimento Limite: Humans Idioma: En Revista: Exp Brain Res Ano de publicação: 2000 Tipo de documento: Article País de afiliação: Canadá
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Braço / Equilíbrio Postural / Modelos Neurológicos / Movimento Limite: Humans Idioma: En Revista: Exp Brain Res Ano de publicação: 2000 Tipo de documento: Article País de afiliação: Canadá