A 3D Motion Prediction Model for Arm Movement

Abstract

A mathematic prediction model based on numerical method is investigated for human arm-reaching movement. Unlike the previous solutions that optimized certain cost functions with global nonlinear multi-constraints of the kinematics and kinetics, the model applies Listing's Law to reduce the degrees of freedom. The rotation vectors, which describe arm positions as a rotation relative to given reference positions, are confined to a flat range called Listing's plane. The major benefit of this model is that it is biologically plausible and supported by other experimental results and the model requires little computation aim to find a feasible, not necessarily optimal path; therefore, make it more applicable for biomechanical simulation. The anatomical assumptions and the model development are detailed and a validating experiment was conducted. The result of experiment shows that the proposed method generated the motion trajectory with reduced calculation complexity.