Title :
Towards a control theory model of human target-directed movements
Author :
Mahoney, Richard M.
Author_Institution :
Appl. Sci. & Eng. Lab., Delaware Univ., Newark, DE, USA
Abstract :
A stochastic multivariable closed-loop control model is presented to account for trends in the response trajectories of human target-directed movements. The stochastic model described is based on the optimal control model, which has been used successfully in modeling human tracking performance. Trends in the response trajectories of human movements are determined by a model representing the human´s internal estimate of the target location. This representation is modeled as a Kalman estimator in which the target width and target distance determine the variances of the state and observation noise terms. Through model-matching exercises, agreement was found between the trends exhibited by subjects in mouse-positioning experiments and those produced by the model
Keywords :
Kalman filters; behavioural sciences; closed loop systems; human factors; optimal control; physiological models; stochastic systems; tracking; Kalman estimator; closed-loop control model; control theory model; human target-directed movements; model-matching; observation noise; optimal control model; stochastic multivariable model; target location; Biological system modeling; Control systems; Control theory; Humans; Optimal control; Regulators; State estimation; Stochastic processes; Target tracking; Trajectory;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.399807
