Measurements and analysis of upperlimb motion parameters based on motion capture

WANG Yinjie, SHEN Linyong, ZHANG Yanan
(School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China)

Abstract: Due to the complexity of modeling and the huge amount of calculation, a new method was presented to measure and analysis upperlimb motion parameters. The modeling of upperlimb motion was reanalyzed and simplified. Series of experiments were designed based on the characteristics of upperlimb motion, which included simplejoint motion experiment, multijoint motion experiment and task experiment. The datas of upperlimb motion from experiment objects were collected by NDI motion capture. The discrete points in datas were fitted by polynomials, and the results were expansioned to get periodic functions. ADAMS was used to model and simulate in order to verify the validity of the fitting trajectory functions. The research results indicate that the new method is effective in measuring the parameters of upper limb motion, and the results can be used as reference trajectories in control with upper limb rehabilitative robots and evalution of upperlimb movement function.
Key words: upperlimbmotion;rehabilitation training;motion parameters;motion capture