Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for dynamically monitoring abnormal states of users of treadmill

An abnormal state and treadmill technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of limited application value, lack of in-depth and detailed analysis of the swing characteristics of balance obstacles, and subjectivity

Inactive Publication Date: 2014-03-05
HANGZHOU DIANZI UNIV
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these detection methods are quantitative in nature, they are still comprehensive evaluations of functions, which are subjective and lack in-depth and detailed analysis of the swing characteristics of balance disorders, so their application value is limited

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
  • Method for dynamically monitoring abnormal states of users of treadmill
  • Method for dynamically monitoring abnormal states of users of treadmill
  • Method for dynamically monitoring abnormal states of users of treadmill

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0115] The implementation flow chart of the present invention is as figure 1 and figure 2 As shown, the specific implementation steps are as follows:

[0116] Step 1: The user completes various types of running actions through the treadmill. Since the four bearings of the electric treadmill are equipped with flexible array pressure sensors, people will generate various pressures after exercising on the running belt. The pressure of the four bearings The sensor feels the effect of pressure and generates eight voltage signals. After calculating these eight voltage signals, the projected position of the user's pressure center of gravity on the treadmill can be obtained, and then the sensor's position coordinates A(x 1 ,y 1 ), B(x 2 ,y 2 ), C(x 3 ,y 3 ),D(x 4 ,y 4 ),E(x 5 ,y 5 ), F(x 6 ,y 6 ),G(x 7 ,y 7 ), H(x 8 ,y 8 ), and the data D obtained from the difference between adjacent positions ab (Δx 12 ,Δy 12 ),D bc (Δx 23 ,Δy 23 ),D cd (Δx 34 ,Δy 34 ),D ad...

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 method for dynamically monitoring abnormal states of users of a treadmill. The method includes firstly, acquiring training data of the users of the treadmill; secondly, preprocessing the data; thirdly, extracting semantic features of the processed data by means of LDA (linear discrimination analysis); fourthly, accumulating knowledge of normal states by using the semantic features as observed quantities, in other words, training an HMM (hidden Markov model); fifthly, judging the abnormal states by the aid of the acquired model and the semantic features. The method has the advantages that the method is based on an algorithm for dynamically monitoring the abnormal states of the users of the treadmill, so that the abnormal states can be quickly and accurately monitored, purposes of training, monitoring and accumulating the knowledge of the normal states can be achieved, and the abnormal states of the users can be effectively monitored under the condition that health states of the users are unknown, and can be monitored intelligently.

Description

technical field [0001] The invention specifically relates to a dynamic monitoring method based on the abnormal state of treadmill users. According to the International Patent Classification (IPC), it belongs to the Department of Physics, Instrument Division, Calculation; Calculation, Counting, and Electronic Digital Data Processing, especially The technical field of a large group of digital computing or data processing devices or data processing methods for specific applications. Background technique [0002] Scholars at home and abroad have been exploring the detection methods for human balance dysfunction, and invented many detection methods. The traditional balance function testing method is subjective observation: Romberg’s test, also known as standing test with eyes closed, is the earliest clinically established test. Body shaking situation. In 1966, Graybie improved the simple upright test with the feet close together in the Romberg test. He began to use the single-l...

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): G06F19/00
Inventor 郭春生沈佳徐俊
Owner HANGZHOU DIANZI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com