Spectral analysis of bio-feedback movement using autoregressive modeling

This paper presents a useful analyzer system of human movement stability. The setup, which is personal computer-assisted, employs two CCD digital video cameras and a force-plate sensor system. The feedback control movement in maintenance of standing balance and walking sequence, was selected as the subject for analysis of human movement stability. The serial measurement data, i.e., the location of each knee while walking, and each foot pressure while standing, were measured. However, it was difficult to analyze directly the characteristics of movement stability in the time series data, because of the complex fluctuations in the feedback control loop. Utilizing autoregressive modeling, the power spectrum of movement factors enables analysis of their dynamical relations. This study provides a new medical evaluation in rehabilitation and physical fitness in daily movement