Assessment of daily-life dynamic interactions between human body and environment using movement and force sensing on the interface

This study describes a method to estimate load dynamics during the execution of daily life tasks. In many motor tasks, the central nervous system (CNS) applies feed-forward control, using learned patterns. The contribution of state feedback (visual/proprioceptive/reflexive) is significantly less when a certain task has been performed multiple times. We hypothesize that force and movement measured at the interface provide information about load dynamics for this class of tasks, since the load is effectively moved under open-loop conditions.