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Doppler radar based human arm motion sensing method

A Doppler radar and arm technology, which is applied in the field of micro-Doppler radar to perceive and recognize the user's arm movements, can solve the problems of unstable distribution of Wi-Fi wireless signals, affecting experience, and being susceptible to interference.

Inactive Publication Date: 2018-08-07
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

However, in the existing methods, Wi-Fi wireless signal distribution is unstable and susceptible to interference, which makes it difficult to apply to actual situations. RFID identification technology requires users to wear additional equipment, which affects the user experience.

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  • Doppler radar based human arm motion sensing method
  • Doppler radar based human arm motion sensing method
  • Doppler radar based human arm motion sensing method

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Embodiment Construction

[0028] The above and other technical features and advantages of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0029] Experiment preparation: place the 24GHz K-LC2 Doppler radar sensor at a height of 1.4 meters from the ground, and connect it to the computer through a USB data cable; the user stands at a distance of 1.5 meters directly in front of the radar, facing the radar and executing Some gestures. The radar sensor senses the environment and outputs dual-channel I, Q time-domain signals at a sampling rate of 44100Hz. The computer collects these data in real time for further processing.

[0030] The overall processing flow is as figure 1 As shown, the specific steps are as follows:

[0031] Step 1: Filter the collected radar signal to reduce the interference of noise on the experimental results. Because of the need to filter high-frequency noise to the maximum extent, an I-type Chebyshev low-pass filter is used....

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Abstract

The invention provides a doppler radar based human arm motion sensing method. The method includes: subjecting collected radar signals to filter processing, and adopting a double-threshold algorithm todetect and extract fluctuating signal fragments in signals; downsampling through discrete wavelet transformation; analyzing phase difference of two-channel I and Q signals according to a phase discrimination method, and subjecting the signals to primary classification into actions of moving close and far away; subjecting to dynamic time warping distance calculation with constraint path limitationalong with known signals in a sample library; performing secondary classification through kNN according to a nearest algorithm to recognize specific motions of human arms. The doppler radar based human arm motion sensing method has advantages that according to relative positions and speed of arms in motion to radar, single motion is detected according to doppler signal variation conditions, twiceclassification is performed according to signal characteristics, and practical motion sensing is realized.

Description

technical field [0001] The invention relates to the field of human body behavior perception based on wireless electromagnetic wave signals, in particular to a method for sensing and identifying user's arm movements by a micro-Doppler radar. Background technique [0002] With the increasing demand for human-computer interaction and the development of technology, people are increasingly using wireless devices for motion recognition. Action recognition methods different from computer vision have additional requirements for lighting, and the action recognition method using acceleration sensor perception has difficulties in human action recognition as a whole. Action recognition of wireless devices has the advantages of universality and easy operation. . At the same time, with the development of smart devices such as smart phones, wireless devices have penetrated into every aspect of life, and their popularity has increased significantly. There are already many wireless-based s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11G01S13/88
CPCA61B5/11A61B5/7235G01S13/88
Inventor 於志文楼昕烨张凯杰王柱郭斌
Owner NORTHWESTERN POLYTECHNICAL UNIV
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