6533b7ddfe1ef96bd1274014

RESEARCH PRODUCT

Modeling of Human Posturokinetic Movements by a Linear Feedback System: Relations among Feedback Coefficients

Karen RouxChristian GentilAlexander M. Grishin

subject

AdultMale0209 industrial biotechnologyState variableMovementPostureLinear systemExperimental and Cognitive Psychology02 engineering and technologyKinematicsModels TheoreticalSensory SystemsFeedbackKinesisInverse dynamicsMatrix (mathematics)020901 industrial engineering & automationControl theoryControl system0202 electrical engineering electronic engineering information engineeringHumansTorque020201 artificial intelligence & image processingRepresentation (mathematics)Mathematics

description

This study describes a method of modeling human trunk and whole body backward bending and suggests a possible neural control strategy. The hypothesis was that the control system can be modeled as a linear feedback system, in which the torque acting at a given joint is a function of the state variables (angular positions and angular velocities). The linear system enabled representation of the feedback system by a gain matrix. The matrix was computed from the kinematics recorded by a movement analysis system and from the joint torques calculated by inverse dynamics. To validate the control model, a comparison was made between the angular kinematics yielded by the model and the experimental data. Moreover, for all subjects, the same relationships between feedback coefficients were found although gain values were different. The study showed that the feedback system is an appropriate model of the strategy from performing an accurate controlled trunk or whole body backward bending in the sagittal plane.

https://doi.org/10.2466/pms.2002.95.1.308