title: Biodynamic modeling, system identification, and variability of multi-finger movements.
abstract: A forward dynamic model of human multi-fingered hand movement is proposed. The model represents digits 2-5 in manipulative acts as a 12-degrees-of-freedom (DOF) system, driven by torque actuators at individual joints and controlled using a parsimonious proportional-derivative (PD) scheme. The control parameters as feedback gains along with an auxiliary parameter to modulate the joint torque magnitudes and cross-coupling can be empirically identified in an iterative procedure minimizing the discrepancy between the model-prediction and measurement. The procedure is guided and computationally accelerated by pre-knowledge of relations between the parameters and kinematic responses. An empirical test based on real grasping movement data showed that the model simulated the multi-finger movements with varied inter-joint temporal coordination accurately: the grand mean of the root-mean-square-errors (RMSE) across trials performed by 28 subjects was 3.25 degrees . Analyses of the model parameters yielded new insights into intra- and inter-person variability in multi-finger movement performance, and distinguished the less variable motor control strategy from much more variable anthropometric and physiological factors.
authors.affiliation: Department of Mechanical Science and Engineering, University of Illinois at Urbana Champaign, 1206 West Green Street, Urbana, IL 61801, USA.
authors.forename: Sang-Wook
authors.initials: SW
authors.lastname: Lee
authors.forename: Xudong
authors.initials: X
authors.lastname: Zhang
mesh_terms: D001696:Biomechanical Phenomena; D003198:Computer Simulation; D005385:Fingers / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D009068:Movement / Q000502:physiology*