Gait analysis for detecting a leg accident with an accelerometer

Abstract

We analyzed an acceleration pattern during natural walking and walking hampered by wearing weights to predict falls. These two types of walking could be distinguished with a peak at the half of the principal frequency of the gait in anterior movement We measured walking while wearing each individual hampering weight and then analyzed. The peak was bigger when a subject wore the hampering weight that was restrictive and made the body unbalanced. As leg accidents are considered to occur with a change of the body balance, our system may be used to detect a leg accident by checking the peak at the half of the principal frequency of the gait in anterior movement © 2006 IEEE.