Modeling and experimental validation of walking processes.

The so-called intermediate model (IM) was applied in the paper to quantitatively describe complex trajectories. Using this model it was possible to find the proper fitting function for describing random trajectories that were recorded during the walking process performed by a volunteer. Experimental data were acquired using a three-dimensional Motion Capture system during normal gait of a healthy person on an automatic treadmill. The major aim of this research was to find if the IM is applicable to fit typical biomechanical measurement data. Motion Capture data collection is very time-consuming and requires a lot of memory, so storing movement trajectories in a parametric form helps to increase the data processing efficiency and mathematical analysis. As a result of the original treatment procedure described in this paper, we obtained a very accurate fit of the measured data. The results of this research can be used to model the movement of mechanical devices and for diagnostic purposes. [ABSTRACT FROM AUTHOR]