Impedance Knowledge and Reliability of Internal Model in Motor Learning

Abstract

This study focuses on a type of perceptual-motor learning called tracing motion, a form of learning to trace a figure's contour and create a tracing motion experiment. First, the Kalman filter is applied to calculate the confidence level of the internal model. To achieve optimal motion, one can control the impedance, which is possible by setting appropriate parameters.