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Fuzzy rough set-based sleeping posture pressure image recognition method

A fuzzy rough set and image recognition technology, applied in the field of monitoring systems, can solve problems such as unfavorable hospital patient health treatment, imaging noise, video privacy issues, etc., to achieve the effect of overcoming protection problems, fast image acquisition, and eliminating psychological burden

Inactive Publication Date: 2016-10-26
HEBEI UNIV OF TECH
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Nakajima Shuki and others proposed a system based on visual signals to analyze sleep respiration and posture changes, but the low light at night brings a lot of noise to the imaging, and the video will bring serious privacy issues, which is very detrimental to the health of hospital patients treat

Method used

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  • Fuzzy rough set-based sleeping posture pressure image recognition method
  • Fuzzy rough set-based sleeping posture pressure image recognition method
  • Fuzzy rough set-based sleeping posture pressure image recognition method

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Experimental program
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Embodiment

[0031] A method for recognizing images of sleeping posture pressure based on fuzzy rough sets, comprising the following steps

[0032] The first step of data collection

[0033] Collect real-time pressure data detected by force-sensitive sensor array located under the sleeping position

[0034] The flexible force-sensitive sensor array (hereinafter referred to as the sensor array) is a 64×128 rectangular array, the data collection frequency is 10 Hz, and the value range of each flexible force-sensitive sensor is 0-512.

[0035] The distribution of the flexible force-sensitive sensor array can just cover the largest projected area of ​​the sleeper, ensuring the integrity of the pressure data of the whole body to the greatest extent. The collected real-time pressure data includes the real-time body pressure.

[0036] The second step image conversion

[0037] Convert the real-time pressure data collected in the first step into a pressure image, specifically: establish an image...

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Abstract

The invention discloses a fuzzy rough set-based sleeping posture pressure image recognition method. The method is characterized by comprising the following steps: 1, data acquisition is carried out, and real-time pressure data detected by a pressure sensitivity sensor array located below a sleeping position are acquired; 2, image conversion is carried out and the real-time pressure data acquired in the first step are converted into a pressure image; 3, image pretreatment is carried out on the pressure image obtained in the second step; 4, image feature extraction is carried out, that is, feature extraction is carried out on the pressure image through image pretreatment, and the extracted feature values form a feature set for single pressure images; and 5, a fuzzy rough set method is adopted to process the image features extracted in the fourth step for realizing sleeping posture recognition.

Description

technical field [0001] The present invention relates to a monitoring system, in particular to a method and system for automatically recognizing sleeping postures, in particular to a method and system for recognizing sleeping posture pressure images based on fuzzy rough sets. Background technique [0002] One-third of a person's life is spent in sleep. The quality of sleep is usually more important than the length of sleep. It is related to people's mental and physical health. People with poor sleep quality are prone to tension, fatigue, and attention. Poor concentration, or eating disorders. Diagnosis of conditions such as cardiovascular disease, diabetes and obesity can be justified by sleep stages. Sleep stages, as well as sleep disturbances, can produce psychiatric disorders such as depression, alcoholism and bipolar disorder. Determining indicators of sleep quality, such as sleep stages, sleep difficulties, and sleep positions, are critical for medical diagnosis. The ...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/52G06K9/62A61B5/00
CPCA61B5/4809A61B5/4815G06V10/24G06V10/42G06F18/24G06F18/214
Inventor 郭士杰任志斌郭志红刘佳斌任东城刘秀丽
Owner HEBEI UNIV OF TECH
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