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

Passive type two-person behavior recognizing method based on WIFI background noise

A recognition method and background noise technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficult recognition, large confusion of behavior combinations, and easy overlapping of motion features

Inactive Publication Date: 2014-08-27
HEFEI UNIV OF TECH
View PDF1 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Existing human behavior recognition is almost only for a single person, but in real life scenes, only a single person is rarely included, and there are more cases where two people exist at the same time
When the behaviors of two people are different, the confusion of the behavior combination is large, the motion features are easy to overlap, and the recognition is more difficult

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
  • Passive type two-person behavior recognizing method based on WIFI background noise
  • Passive type two-person behavior recognizing method based on WIFI background noise
  • Passive type two-person behavior recognizing method based on WIFI background noise

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In this embodiment, a passive two-person behavior recognition method based on WiFi background noise is applied to a two-person behavior combination in an indoor environment. Combination of six behavior combinations, the six behavior combinations are: sit-sit behavior combination, sit-stand behavior combination, stand-stand behavior combination, walk-sit behavior combination, walk-stand behavior combination and walk-walk behavior combination; such as figure 1 As shown, the passive two-person behavior recognition method is carried out as follows:

[0054] Step 1. Collect the RSS data of six behavior combinations through the wireless network card. Each behavior combination collects G groups of data, and each group has W signal samples, so as to obtain G×6 groups of wireless signal sample data R (s,g) ;s represents the sequence number of any one of the six behavior combinations, 1≤s≤6; g represents the group number of each behavior combination, 1≤g≤G; in the specific colle...

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 passive type two-person behavior recognizing method based on WIFI background noise. The method is characterized by comprising the following steps that firstly, RSS data of combinations of six behaviors are collected through a WLAN card, secondly, wireless signal sample data are preprocessed to obtain denoised sample data, thirdly, a classification system model of the combinations of two-person behaviors is established according to the denoised sample data, and fourthly, data to be classified are recognized through the classification system model of the combinations of the two-person behaviors. According to the method, single person behavior recognition can be expanded to two-person behavior combined recognition, and a tested person can freely move indoors without carrying devices.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, in particular to a passive two-person behavior recognition method based on WIFI background noise. Background technique [0002] Human behavior recognition is currently a hot topic in the field of artificial intelligence research, and it has important research significance and application prospects in various aspects such as medical care, safety, and teaching. In daily life, indoor human behavior recognition can help monitor the elderly or patients and detect abnormalities in time; indoor human behavior recognition combined with smart home can bring more convenience to life. [0003] At present, human behavior recognition research mostly relies on visual analysis or acceleration analysis. Visual analysis is to use camera equipment to collect images or existing original images, extract eigenvalues, calculate and analyze them, so as to recognize human behavior. This method requires additiona...

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): G06F19/00
Inventor 谷雨任福继权良虎陈孟妮
Owner HEFEI UNIV OF TECH
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