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CSI-based indoor human body motion speed judgment model

A technology of human motion and speed models, applied in the field of wireless perception, to achieve high precision, expand application fields, and strong scalability

Inactive Publication Date: 2017-04-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

[0006] [Purpose of the invention]: The purpose of the present invention is to provide a speed model that utilizes Wi-Fi signals to obtain angle and cycle time information when people walk, which is used to solve indoor human body positioning and tracking, especially for human body under WiFi environment Locating and Tracking Issues
The present invention first collects a series of time-series CSI data and performs denoising processing, then extracts features from the CSI data, detects the beginning of people walking, and obtains the speed and direction of people walking, and its ultimate goal is to achieve A velocity model implemented using WiFi signals, and using this system to solve the problem of indoor human body positioning and tracking in the WiFi environment

Method used

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  • CSI-based indoor human body motion speed judgment model
  • CSI-based indoor human body motion speed judgment model
  • CSI-based indoor human body motion speed judgment model

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Embodiment Construction

[0026] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0027] The invention mainly consists of a wireless signal transmitter and two wireless signal receivers. The wireless signal transmitter is an existing commercial WiFi device, and the wireless signal receiver is a device (notebook computer) equipped with Intel5300. The wireless signal receiver continuously receives the wireless signal sent by the transmitter and extracts CSI data reflecting the characteristics of the surrounding environment, with a sampling rate of 2500 per second. Two wireless signal receivers are used to determine the speed direction of human body movement, and at the same time reduce the error in measuring the speed of human body. The experimental environment diagram is attached figure 1 As shown, the CSI data is processed after the data is collected, and the overall process is shown in the attached figure 2 As shown, the ...

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Abstract

The invention provides a CSI-based indoor human body motion speed judgment model. The model comprises velocity magnitude and velocity direction, and is a solution to indoor positioning and tracking. The method mainly utilizes the characteristic of wireless signal multipath propagation and is characterized by obtaining a CSI ( channel state information) data, wherein the CSI data carries information reflecting external environmental characteristics, comprising actions produced when a person walks; according to the obtained CSI data, through related algorithms, removing noise and extracting walking information; obtaining velocity magnitude information through short-time Fourier transform, and obtaining velocity direction through a music algorithm; and determining walking direction information of the person through multiple-AP joint deployment, and thus complete speed information in the walking process of the person can be obtained. The speed model can realize high-precision indoor positioning and tracking.

Description

technical field [0001] The invention discloses a human body motion speed model realized by acquiring angle and cycle time information of people walking by using WiFi signals, which is mainly used to solve indoor human body positioning and tracking, especially for human body positioning and tracking problems in a WiFi environment. The invention belongs to the technical field of wireless sensing. Background technique [0002] In an indoor environment, the radio waves generated by the signal transmitter propagate through multiple paths such as direct radiation, reflection, and scattering, and form a multipath superimposed signal at the signal receiver. The multipath superimposed signal is affected by the physical space of its propagation, and carries information reflecting the characteristics of the environment. [0003] Traditional recognition systems are mainly divided into three types: recognition systems based on vision technology, recognition systems based on sensors, and...

Claims

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Application Information

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IPC IPC(8): H04W64/00
CPCH04W64/006
Inventor 赵彦超刘尚清陈兵
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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