INERTIAL SENSOR-BASED GAIT FEATURE EXTRACTION AND GAIT RECOGNITION METHOD

摘要

An inertial sensor-based gait feature extraction and gait recognition method. The method specifically comprises the following steps: step 1, preprocessing a gait signal; step 2, performing gait key point detection on the gait signal that is processed in step 1; step 3, extracting a gait cycle feature vector according to a detection result in step 2; step 4, performing PCA-CCA feature fusion on the gait cycle feature vector that is extracted in step 3; and step 5, performing gait recognition and classification modeling on the feature vector that is fused in step 4. According to the method, inertial sensors are placed in the middle parts of the left and right shanks of the lower limbs of a human body so as to better capture gait information, a gain cycle is accurately divided by means of a gait key point detection method based on an observation window, so that corresponding acceleration and angular velocity gait features are extracted, and an angular velocity feature and an acceleration feature are fused by means of a PCA-CCA feature fusion method, thereby improving the accuracy of gait recognition.