Human motion detection method based on short-time Fourier transform

A technology of short-time Fourier transform and human motion, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of small occupied bandwidth, low transmission power, large antenna array, etc., and achieve low misjudgment rate and blind area Small size and high detection accuracy

Active Publication Date: 2018-07-17
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the traditional wall-penetrating ultra-wideband radar can detect human movement in the partition wall, it occupies a large amount of bandwidth, has a large transmission power, and has a very large antenna array.
However, it is very challenging to use wireless communication devices with small bandwidth, low transmission power, and small size to detect human motion in partition walls. It is necessary to detect weak targets under strong noise.
At present, the technology of the detection method of human body movement on the partition wall realized by this portable device needs to be further studied and discussed.

Method used

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  • Human motion detection method based on short-time Fourier transform
  • Human motion detection method based on short-time Fourier transform
  • Human motion detection method based on short-time Fourier transform

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Embodiment

[0037]Arrange two transmitters and one receiver on one side of the wall, and the moving body walks randomly on the other side of the wall. The two transmitters and receivers are arranged equidistantly on the same horizontal plane and at the same distance from the wall. The wall body of the experiment is a 25cm thick concrete wall, and its attenuation is 20dB. The bandwidth of the transmitter is 1MHz, the transmission power is 100mW, the transmission frequency is 2.4GHz, and it contains 3 directional antennas. In order to make the movement pattern simpler and more regular, two movement patterns are defined, 1) walking parallel to the wall and 2) walking perpendicular to the wall.

[0038] image 3 and Figure 4 Show the variance diagram for a period of time when the partition wall is stationary and the partition wall has human movement. It can be seen from the figure that the variance fluctuation is small when the partition is stationary, and its extreme difference is relati...

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Abstract

The invention discloses a wall-across human body motion detection method based on short-time Fourier transform. The method comprises the following steps: firstly, receiving a signal waveform, which is pre-coded by virtue of a transmitter, by virtue of a receiver; then, segmenting the received signal into various sections of signals, and conducting short-time Fourier transform on each section of the signal so as to obtain a transformation matrix; then, computing a variance vector of the transformation matrix; and finally, by computing the range of the variance vector and comparing the computed range with a threshold, detecting whether human body motion occurs behind a wall or not. The detection method disclosed by the invention can solve the problem on weak target detection in a strong noise environment through the short-time Fourier transform, and the detection method can effectively detect whether the human body motion occurs behind the wall or not, so that the accuracy of detecting the human body motion is greatly improved.

Description

technical field [0001] The invention relates to a method for detecting human motion on a partition wall, in particular to a method for detecting human motion on a partition wall based on short-time Fourier transform. Background technique [0002] Human body detection within the general line of sight can be detected using optoelectronic devices such as infrared cameras and cameras. These techniques are commonly used in intrusion detection in art galleries and banks. However, these technologies have great limitations and cannot be used to detect objects behind non-transparent walls (or shelters) such as stone, wood, concrete, etc., so the detection technology used must have a perspective effect. At present, detection technologies with perspective effects are commonly based on X-rays and ultrasonic echoes, but none of these perspective technologies can well meet the current needs for human body detection through walls. X-rays are high-energy rays. Although they can penetrate ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/11
CPCA61B5/1123A61B5/6889
Inventor 张志浩史治国陈积明程鹏王琦孙优贤
Owner ZHEJIANG UNIV
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