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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 easy leakage, narrow scope of application, and inability to change room semantic identification in real time, so as to ensure privacy, realize real-time changes, and reduce infrastructure layout and resource consumption Effect

Inactive Publication Date: 2018-04-20
TAIYUAN UNIV OF TECH
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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

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  • 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

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Embodiment

[0040] First, arrange the transmitting and receiving signal devices in the room where the semantic identification is required, and start collecting CSI data. The collected data calculates the PEM value per second through formula (1). At this time, a threshold value 1 is set to filter out data with a PEM value less than one person. These data are recorded but not processed. Data greater than threshold 1 continues to determine whether it exceeds threshold 2. Threshold 2 is set to the upper bound of the PEM value when two people are active at the same time.

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

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

[0043] The PEM algorithm can realize real-time perception of the number of people active in the indoor environment, and perceive the state of the environment to obtain some useful information. In the behavior perception stage, experiments in the actual...

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Abstract

The invention provides an indoor map semantic identification method based on WiFi channel state information and belongs to the technical field of internet of things. The method comprises the steps that a signal transmitting device and a signal receiving device are arranged in a room needing semantic identification; CSI (channel state information) data are collected; the collected data are processed and collected through a PEM algorithm, and the data are recorded; the number of people in the indoor environment can be sensed in real time, the data are recorded, and the size of a time block is calculated; an attribute learning type decision tree classification is carried out, and a decision tree classifier is generated; a decision tree classification result is used as a room identification result to achieve a room semantic identifier. The method in the invention can effectively solve the problems that in the prior art, the application range is narrow, a room semantic identifier cannot bechanged in real time, the equipment energy consumption is high, and secrets are easy to be 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, magnetometers, GPS, WIFI, etc. The earlier proposed method is the Surroundsense method proposed by Martin Azizyan and others (Azizyan M, Constandache I, Choudhury R R. SurroundSense: mobile phone localization via ambience fingerprinting, MOBICOM 2009) for bookstores, bars and clothing stores near schools. In order to perceive the environment, the room is recognized by collecting data such as the camera, microphone, and acceleration from the user's mobile phone, and the brightness, chroma and saturation of the picture ar...

Claims

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Application Information

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IPC IPC(8): H04B17/309H04W4/33G06K9/00G06K9/62G06F17/30
CPCH04B17/309G06F16/29G06F2218/02G06F18/24323Y02D10/00Y02D30/70
Inventor 陈永乐于丹王会青姚青桦
Owner TAIYUAN UNIV OF TECH
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