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

Indoor map semantic identification method based on wifi channel state information

A technology of channel state information and semantic identification, applied in the field of Internet of Things, can solve the problems of inability to change room semantic identification in real time, narrow scope of application, and high energy consumption of equipment.

Inactive Publication Date: 2020-10-30
TAIYUAN UNIV OF TECH
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an indoor map semantic identification method based on WiFi channel state information, which solves the problems in the prior art that the scope of application is narrow, room semantic identification cannot be changed in real time, equipment consumes a lot of energy, and is easy to leak

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
  • Indoor map semantic identification method based on wifi channel state information
  • Indoor map semantic identification method based on wifi channel state information
  • Indoor map semantic identification method based on wifi channel state information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0040] Firstly, arrange the transmitting and receiving signal devices in the room to be semantically identified, and start collecting CSI data. The collected data is calculated by the formula (1) to calculate the PEM value per second. At this time, a threshold value of 1 is set to filter out the data with a PEM value less than one person. These data are recorded but not processed. The data greater than threshold 1 continues to judge whether it exceeds threshold 2, and threshold 2 is set as the upper limit of the PEM value when two people are active at the same time.

[0041] PEM(i)=Num(1) / P*P(1)

[0042] Among them, P*P is the total number of all elements of the matrix, and the obtained result is the PEM value of each subcarrier, which is averaged.

[0043] Through the PEM algorithm, real-time perception of the number of indoor environmental activities can be realized, and some useful information can be obtained by sensing the state of the environment. In the behavior percep...

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 provides an indoor map semantic identification method based on WiFi channel state information, which belongs to the technical field of the Internet of Things. By arranging the transmitting signal and receiving signal devices in the room with the required semantic identification, collecting CSI (channel state information) data, and then processing the collected data through the PEM algorithm to collect and record the data, to realize real-time perception of the number of indoor environmental activities and record them The size of the data and computational time chunks, as an attribute-learned decision tree classifier, generates a decision tree classifier. Use the decision tree classification result as the room identification result to realize room semantic identification. The invention can effectively solve the problems in the prior art that the scope of application is narrow, the semantic mark of the room cannot be changed in real time, the energy consumption of the equipment is large, and secrets are easily leaked.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things and relates to an indoor map semantic identification method based on WiFi channel state information. Background technique [0002] At present, the method of realizing indoor map semantic identification is mainly to use crowdsourcing to collect and process user sensor data to realize indoor map identification. The sensors used include cameras, microphones, accelerometers, magnetic induction meters, GPS, WIFI, etc. The method proposed earlier is the Surroundsense method proposed by Martin Azizyan et al. (Azizyan M, Constandache I, Choudhury R R. SurroundSense: mobile phone localization via ambience fingerprinting, MOBICOM 2009) for bookstores, bars and clothing stores near the school. In addition to environmental perception, the room is identified by collecting data from the camera, microphone, and acceleration from the user's mobile phone, and the brightness, chroma, and saturation o...

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 Patents(China)
IPC IPC(8): H04B17/309H04W4/33G06K9/00G06K9/62
CPCH04B17/309G06F16/29G06F2218/02G06F18/24323Y02D10/00Y02D30/70
Inventor 陈永乐于丹王会青姚青桦
Owner TAIYUAN 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