The invention discloses a left and right foot dynamic recognition method based on
plantar pressure distribution information. The method includes the steps of
plantar pressure data filtering,
plantar pressure data clustering, single-step
footprint image processing and left and right foot dynamic recognizing. An improved type IMF filtering
algorithm is adopted for the plantar
pressure data filtering. A K-means clustering
algorithm is adopted for the analysis on the plantar
pressure data clustering. The single-step
footprint image processing includes the substeps of
footprint image bilinear interpolation amplification, median filtering,
morphological processing and the like. The left and right foot dynamic recognizing is achieved by conducting judgment on the basis of the extreme value distribution situations of fitted footprint profile curves and footprint width curves. By means of the method, plantar
pressure data can be processed and analyzed in real time, and
gait feature parameters in the walking process are calculated according to the starting and stopping time of each step of a footprint sequence. The method is simple, the recognition speed is high, the recognition accuracy is high, high robustness is achieved, and the method can be applied and popularized in hospitals,
rehabilitation organizations and colleges, universities and research institutions working on related
gait research.