Method for Prediction Frailty Using Triple Axis Motion Meter, Prediction Frailty System using Triple Axis Motion Meter and Wearable Prediction Frailty Device

摘要

The present invention relates to a senility prediction method using an axial accelerometer, a senility prediction system using a 3-axis motion measuring device, and a wearable senility prediction device, wherein the senility prediction method using a 3-axis motion measuring device according to an embodiment of the present invention includes 3-axis motion Collecting acceleration data and angular velocity data for a pedestrian's gait pattern from a measuring device; Extracting gait feature data by analyzing data on the pedestrian's gait pattern; Classifying the extracted gait feature elements according to each predetermined reference value; And applying the classified gait feature element data as an input feature element to perform machine learning to provide pedestrian senility information; and the gait feature element data includes a step time variation coefficient ( Coefficient of variance step time, CV step time, acceleration and step speed.