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Human motion detection method based on continuous wavelet transform

A wavelet transform, human motion technology, applied in radio wave measurement systems, radio wave reflection/re-radiation, measurement devices, etc., can solve the problems of high transmission power, large antenna array, low transmission power, etc., and achieve high accuracy , the effect of high detection accuracy and low false positive rate

Active Publication Date: 2018-04-27
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 continuous wavelet transform
  • Human motion detection method based on continuous wavelet transform
  • Human motion detection method based on continuous wavelet transform

Examples

Experimental program
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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 map for a period of time when the partition wall is still and there is human movement on the partition wall. It can be seen from the figure that the variance fluctuation is small when the partition is stationary, and its maximum value is v max It i...

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PUM

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Abstract

The invention discloses a partition human body motion detection method based on continuous wavelet transformation. The partition human body motion detection method is characterized in that a receiver is used to receive a signal waveform after precoding of a transmitter; the received signal can be segmented into signal segments, and the continuous wavelet transformation of each signal segment can be carried out to acquire a transformation matrix, and then the variance vectors of the transformation matrix can be calculated; and at last, by calculating the maximum value of the variance vectors, and the maximum value can be compared with the threshold value to detect whether the human body motion occurs behind the wall. By adopting the continuous wavelet transformation, the weak target detection problem in the strong noise environment can be solved, and whether the human body motion occurs behind the wall can be effectively detected, and therefore the accuracy of the partition human body motion detection can be greatly improved.

Description

technical field [0001] The invention relates to a method for detecting human motion on a partition wall, more specifically to a method for detecting human motion on a partition wall based on continuous wavelet 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 penetr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/88
CPCG01S13/888
Inventor 陈积明张志浩史治国程鹏孙优贤
Owner ZHEJIANG UNIV
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