A Gait Analysis Subsystem for Smoothing and Differentiation of Human Motion Data

Abstract

A computer-based subsystem has been implemented for the smoothing and differentiation of human motion data. Nonrecursive finite impulse response digital filtering has been employed for this purpose. Filter cutoff frequency was determined using a statistical error analysis. The method of data differentiation used here is compared to other methods presented in the literature.