Method and system for classification of walking and standing still based on micro-inertia technology

Abstract

The invention belongs to the technical field of motion classification, and specifically relates to a walking and standing still motion classification method and system based on micro-inertia technology, aiming to solve the problem of accurate recognition of walking and standing still. The method of the present invention includes S1, obtaining a Sampling data of the step action, the data including the acceleration and angular velocity data of the step action; S2, unifying the sampling data into gait data of the same size; S3, calculating the acceleration and angular velocity of the step action based on the gait data The modulus value of angular velocity, and obtain step data matrix; S4, described step data matrix is ​​spliced ​​into vector by row as the characteristic vector of this step; S5, described step characteristic vector input pre-built gait classification model carries out this step Classification of action sports. The invention can effectively identify walking motion and stepping motion, effectively avoid track estimation error, and reduce calculation amount and algorithm complexity at the same time, so that the algorithm is simple and effective.

Description

technical field [0001] The invention belongs to the technical field of motion classification, and in particular relates to a walking and standing motion classification method and system based on micro-inertia technology. Background technique [0002] With the development of micro-electro-mechanical systems (MEMS), especially the development of micro-inertial technology, the use of micro-inertial sensors for pedestrian trajectory deduction and motion analysis has broad application prospects. At present, quite a few pedestrian trajectory deduction systems based on micro-inertial technology have been designed at home and abroad, and many of them have classified various types of motion in the trajectory deduction system. Motion classification can provide more motion information for the trajectory derivation system, and plays an important role in improving the accuracy of the trajectory. [0003] At present, the motion types of motion classification based on micro-inertia techno...

AI Technical Summary

Problems solved by technology

[0003] At present, the motion types of motion classification based on micro-inertia technology mainly include: walking, running, climbing stairs, descending stairs, forward / backward / sideways walking and running, standing, etc. Classification and Classification Methods Proposed

However, in the pedestrian track deduction system based on micro-inertia technology, if the standing still movement is regarded as normal walking, it may cause relatively large errors

Images