Modelling of human motor control in an unstable task through operational space formulation

Abstract

Human motor control computational model is an important component in the study and the successful realisation of human-robot interaction. In this paper, the Operational Space Formulation is presented as a suitable framework of human motor control computational model based on the Equilibrium Point Hypothesis (EPH) approach. The iterative adaptive control strategy was incorporated to simulate human motor adaptation to different tasks. The strategy involves the use of an Equilibrium Model which represents the ideal human motor response to a given task. The combined strategy was simulated to match a set of data gathered experimentally from several human subjects. The results were observed to explain many of the features found in the recorded behaviours in the EPH-based approach of human motor modelling.