Recently, a quantitative understanding of patient movement in 3-D space has become more important in medical rehabilitation science. In this study, a new personal computeraided system is developed for acquiring digital data of human movement from two CCD video cameras and a foot-force-plate sensor, which are configured to start and stop simultaneously. One problematic body joint will influence other body parts in daily movement. Medical therapy using taping and dynamic shoe insoles improves the alignment of all joints in movement and causes a natural recovery. Also, the feedback control in maintenance of standing balance is improved. This is an important index of recovery in medical rehabilitation.
Using this system, timeseries digital data from 3-D image processing and photogrammetry provide effective information for biomechanical and spectrum analysis of human movement. After therapy, the fluctuation of COG (Center of Gravity) and COP (Center of Pressure), which was not even, instable in patients having lower limb disorders, were improved.
