Foot-to-ground acting force-based gait feature extraction method and gait identification system

The invention discloses a foot-to-ground acting force-based gait feature extraction method and a foot-to-ground acting force-based gait identification system. The system comprises a gait data acquisition module and a gait data processing and identification module, wherein the gait data acquisition module acquires the foot-to-ground acting force during walking in a hidden and non-intrusive way; and the gait data processing and identification module extracts gait features and performs gait identification from the foot-to-ground acting force. The gait feature extraction method comprises the following steps of: denoising the foot-to-ground acting force by a wavelet transform hard threshold method; detecting a key point and calculating gait time-domain features by a first-order difference algorithm; and representing the gait frequency-domain features by adopting a wavelet decomposition coefficient after performing waveform alignment on the foot-to-ground acting force. When the system is used for identifying, an optimal gait feature set is selected by a fuzzy C-means algorithm; and the classification or the identification can be performed on the gait based on a support vector machine. The gait information acquired by the method and the system is natural, true and not easy to simulate; the extracted gait features are full and accurate; and the requirements on gait analysis, classification and long-distance gait identification can be met better.