SYSTEM AND METHOD FOR GAIT TYPE CLASSIFICATION USING MACHINE LEARNING AND GAIT PRESSURE DATA

摘要

The present invention relates to a method for acquiring gait data using an insole including a pressure sensor array, normalizing the acquired gait data, and automatically classifying gait patterns using machine learning. A gait data collection unit that acquires gait data from a plurality of pressure sensors, a section of a unit step is defined in the gait data acquired by the gait data collection unit, and the data for each unit step is divided, and the divided data lengths are all the same. a preprocessor that normalizes , and a gait pattern classifier that classifies the final gait pattern using a fully connected network that receives gait data normalized from the preprocessor as an input.