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

Personnel unconventional behavior rapid identification method based on inertial sensor

An inertial sensor and identification method technology, which is applied in the field of rapid identification of unconventional behavior of people based on inertial sensors, and can solve the problems of complex behavior pattern identification methods and low identification accuracy.

Active Publication Date: 2020-06-09
CHONGQING UNIV OF POSTS & TELECOMM
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problems of complex behavior pattern recognition methods and low recognition accuracy in the prior art

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
  • Personnel unconventional behavior rapid identification method based on inertial sensor
  • Personnel unconventional behavior rapid identification method based on inertial sensor
  • Personnel unconventional behavior rapid identification method based on inertial sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0075] The technical scheme that the present invention solves the problems of the technologies described above is:

[0076] The method of the present invention comprises the following steps: 1. according to emergency rescue and several unconventional behavior characteristics of personnel commonly existing in industrial sites, determine 6 kinds of most important motion states (forward, backward, left lateral movement, right lateral movement, 2. Collect the acceleration information of the human body through the individual positioning module with a built-in acceleration sensor fixed at the waist and perform mean filtering data preprocessing; 3. Calculate and extract various acceleration times based on the acc...

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 personnel unconventional behavior rapid identification method based on inertial sensor, and belongs to the field of mode identification. According to the method, an individual soldier positioning module is installed on the waist of a pedestrian, a gyroscope, an accelerometer and other sensing devices are arranged in the individual soldier positioning module, and the accelerometer is used for measuring real-time X-axis, Y-axis and Z-axis acceleration information of the waist of the pedestrian. After acceleration time domain characteristic parameters are calculated, dimensionality reduction is performed on a time domain characteristic matrix by adopting PCA (Principal Component Analysis); and finally, the time domain feature matrix obtained through dimension reduction compression is input into a K nearest neighbor (KNN: k-NetworstNetwork) classifier, so that an effect of behavior pattern recognition is achieved. According to the method, measurement and calculation can be carried out in real time for unconventional behaviors in a special application scene, the calculation efficiency can be improved, and a mode recognition result can be quickly obtained.

Description

technical field [0001] The invention belongs to the field of pattern recognition, in particular to a method for quickly recognizing unconventional behaviors of people based on inertial sensors. Background technique [0002] With the continuous development and maturity of MEMS (Micro-Electro-Mechanical Systems) technology, MEMS sensors with low cost, small size and high sensitivity have been widely used in competitive sports, health detection, medical research and pedestrian navigation. , is also used in some fire emergency rescue work. The acceleration sensor can obtain the raw acceleration data of the three axes through measurement, and can infer the behavior pattern of the human body according to the acceleration sensor signal and the classification algorithm. Using acceleration sensor to realize behavior recognition is an emerging research direction in the field of pattern recognition, which has broad application prospects. [0003] Acceleration time domain feature is a...

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
IPC IPC(8): G06K9/62G01P15/02
CPCG01P15/02G06F18/22G06F18/2135G06F18/2413
Inventor 刘宇曹原路永乐邹新海邸克顾洪洋付乐乐方针孙勇
Owner CHONGQING UNIV OF POSTS & TELECOMM
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