Behind-the-wall human movement orientation detection method based on dynamic time warping

Abstract

The invention discloses a behind-the-wall human movement orientation detection method based on dynamic time warping. The method comprises the following steps: first, receiving a pre-coded signal waveform from a transmitter through a receiver; second, dividing received signals into signal segments, performing short-time Fourier transform on each signal segment to get a transformation matrix, and calculating the variance vector of the transformation matrix; third, segmenting the variance vector to isolate useful signals; and finally, using a dynamic time warping algorithm to calculate the similarity between the isolated signals and different movement orientation standard signal waveforms, and judging the current behind-the-wall human movement orientation. According to the invention, through the dynamic time warping algorithm, identification and detection of behind-the-wall human movement orientation is realized, and a variety of different movement orientations can be identified.

Description

technical field [0001] The invention relates to a method for detecting the direction of movement of a human body at a partition, more specifically to a method for detecting the direction of movement of a human body at a partition based on dynamic time warping. 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 hi...

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 detection method of human body motion on the partition wall and the detection technology of human motion orientation on the partition wall realized by this portable device need to be further studied and discussed.

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