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A non-contact human sleeping posture safety detection method and system

A security detection, non-contact technology, applied in the field of non-contact human sleeping posture security detection, can solve the problems of inconvenience and privacy leakage of the monitored person

Inactive Publication Date: 2019-01-29
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the traditional methods of monitoring the sleeping position of the human body need to install sensors on relevant parts of the human body, such as the wrist, throat or chest breathing area, which is invasive monitoring and will cause inconvenience to the monitored person
Non-invasive sleep posture monitoring often uses infrared cameras, causing hidden dangers of privacy leakage

Method used

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  • A non-contact human sleeping posture safety detection method and system
  • A non-contact human sleeping posture safety detection method and system

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Embodiment approach

[0041] The preferred embodiment of the periodic extraction of the present invention specifically includes the following steps:

[0042] (1) Remove the noise of multiple CSI subcarrier signals

[0043] Use filters such as wavelet filters and Chebyshev filters to remove high-frequency noise contained in the CSI signal, and wavelet filters are preferred in the present invention.

[0044] (2) Process the multiple CSI sub-carrier signals to obtain the center frequency ω of the multiple CSI sub-carrier signals. In this step, Fourier transform, recursive graph method and the like can be used.

[0045] (3) Establish a harmonic model y(t)=Asin(ωt+τ) for each CSI subcarrier signal based on the center frequency ω and each collected CSI subcarrier signal, where y(t) is the CSI subcarrier signal, t is a time variable; estimated by the least square method, the best estimated value of phase τ and amplitude A is obtained; the best estimated value of phase τ and amplitude A is substituted in...

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Abstract

The invention discloses a non-contact human body sleeping posture safety detection method and system, and belongs to the technical field of computer vision. The method comprises the following steps of signal collecting, wherein Wi-Fi signals are generated around a human body, and channel condition signals CSI in the Wi-Fi signals are collected; signal processing, wherein the period of the channel condition signals CSI is extracted and input into a classifier which is trained in advance, and the classifier outputs the sleeping posture type. The invention further provides a system used for achieving the method. According to the method and system, an invasive sensor does not need to be installed on the body of a measured person, body privacy of the measured person cannot be exposed, and therefore the measured person feels natural and comfortable in the measuring process.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and more specifically relates to a non-contact method and system for detecting the safety of human sleeping posture. Background technique [0002] With the continuous progress of society and the development of computer technology, it has always been the goal of artificial intelligence researchers to make machines have a human way of thinking. At present, the recognition of human gestures, actions and behavior understanding has gradually become a research hotspot in the field of computer vision. These studies can help people understand some characteristics, such as the behavior and posture of the other party, through which the attitude and emotion of the target can be reflected. Human sleeping posture recognition is one of the posture recognition and behavior understanding of many people, and it is an important part of computer vision research. [0003] Human sleeping posture detection r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/11A61B5/113
CPCA61B5/1116A61B5/113
Inventor 刘雪峰郭鹏
Owner HUAZHONG UNIV OF SCI & TECH
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