Characterizing gait asymmetry via frequency sub-band components of the ground reaction force
We develop ground reaction force (GRF) based asymmetry measure for human gait. Features extracted from GRF can characterize different gait patterns. The measure is derived from the frequency sub-band components of the GRF. The proposed asymmetry measure can be used to detect Parkinson's disease.
gait asymmetry ground reaction force gait analysis wavelet transform