Prototype-Based Methodology for the Statistical Analysis of Local Features in Stereotypical Handwriting Tasks

A three steps methodology is proposed to derive consistent sets of local features which may be easily compared between the different samples of a stereotypical human handwriting movement, allowing the statistical analysis its local variability. This technique is illustrated using the Sigma-Lognormal modeling of on-line triangular trajectory patterns obtained from a standardized neuromuscular task. The overall approach can be adapted and generalized to the analysis of the end-effector kinematics of many planar upper limb movements.