Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement.

ABSTRACT: A central task in the analysis of human movement behavior is to determine systematic patterns and differences across experimental conditions, participants and repetitions. This is possible because human movement is highly regular, being constrained by invariance principles. Movement timing and movement path, in particular, are linked through scaling laws. Separating variations of movement timing from the spatial variations of movements is a well-known challenge that is addressed in current approaches only through forms of preprocessing that bias analysis. Here we propose a novel nonlinear mixed-effects model for analyzing temporally continuous signals that contain systematic effects in both timing and path. Identifiability issues of path relative to timing are overcome by using maximum lik

SUBMITTER: Raket LL 

PROVIDER: S-EPMC5033575 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature