Clustering-algorithm-based human motion state judgment method

A clustering algorithm, a technology of human movement, applied in the direction of diagnosis, diagnostic recording/measurement, medical science, etc., to achieve high accuracy results

Inactive Publication Date: 2015-03-25
HEILONGJIANG UNIV
View PDF7 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that there will be a large error when the existing method distinguishes the motion states with large similarities, and provides a method for judging the motion state of the human body based on a clustering algorithm

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Clustering-algorithm-based human motion state judgment method
  • Clustering-algorithm-based human motion state judgment method
  • Clustering-algorithm-based human motion state judgment method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033]The human foot is a complex structure composed of 26 bones, 33 joints and 126 ligaments, muscles and nerves. The basic function of the foot is mainly to support the weight of the human body, buffer and absorb impact, generate forward thrust, and maintain and adjust the balance of the human body. Plantar pressure means that when a person stands still or walks dynamically, under the action of his own gravity, the sole of the foot will receive the reaction force from the ground in the vertical direction. Every step the human body takes, the pressure received by the human body is very large, and this pressure probably exceeds 50% of the body weight. The plantar pressure of the human body will change with the movement state of the human body. The pressure value data measured by the plantar pressure sensor itself includes different physiological parameters (such as body weight) of different experimenters, and the respective physiological parameters of different experimenters ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a clustering-algorithm-based human motion state judgment method, belongs to the field of pedometers and aims to solve the problem of great error when the motion state with great similarity is distinguished by the existing method. The method comprises the following steps: collecting pressure in a cycle T when double feet of people sit, stand, walk, run and jump by a pressure sensor, determining the judgment range of motion frequency of each state according to the pressure, and obtaining a left foot dissimilarity degree judgment range and a right foot dissimilarity degree judgment range of each state by using the clustering algorithm; collecting pressure values of the double feet in the period of time by using the pressure sensor when needing to judge the human motion state in one period of time, processing the pressure values to obtain the motion frequency, the left foot dissimilarity degree and the right foot dissimilarity degree in the period of time; judging the motion state of the human body in the period of time by combining the judgment ranges of the motion states according to the motion frequency, the left foot dissimilarity degree and the right foot dissimilarity degree in the period of time. The clustering-algorithm-based human motion state judgment method is applied to the pedometers.

Description

technical field [0001] The invention belongs to the field of pedometers. Background technique [0002] The pedometer is mainly used to measure people's daily walking status, count the number of walking steps, and analyze the body movement. [0003] Existing pedometers are pedometers with acceleration sensors, vibration sensors and pressure sensors as basic parameters. The pressure on the soles of the feet collected by the pressure sensors is used to judge the state of motion according to the frequency of change of the pressure on the soles of the feet, and to perform corresponding counting according to the state of motion. There are many ways to distinguish human motion states, such as distinguishing by frequency, pace, etc., which are used to distinguish states with little similarity, such as walking and jumping, but when distinguishing motion states with large similarities There will be large errors. Contents of the invention [0004] The purpose of the present inventi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11
CPCA61B5/1123
Inventor 马宏斌马楠李晓刘昱
Owner HEILONGJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap