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Sleep disorder detection method and device, electronic equipment and readable storage medium

An anomaly detection and storage medium technology, applied in the field of image processing, can solve problems such as poor application effect, inability to realize active marking and reminder, and inability to realize active recognition of abnormal state

Active Publication Date: 2021-03-23
创新奇智(北京)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For the monitoring of sleep status by means of a close-fitting sensor device, since the sensor device still needs to be carried close to the body during sleep, it often affects the user's sleep experience
For the way of installing a camera, since the camera only realizes the function of data recording, it cannot realize the active identification of abnormal states during sleep, so it cannot realize the functions of actively marking and reminding whether abnormal states occur during sleep. There is a problem that the actual application effect is not good

Method used

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  • Sleep disorder detection method and device, electronic equipment and readable storage medium
  • Sleep disorder detection method and device, electronic equipment and readable storage medium
  • Sleep disorder detection method and device, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] see figure 1 as shown, figure 1 A method for detecting abnormal sleep provided in the embodiments of the present application, including:

[0034] S101: Acquiring a currently captured image.

[0035] In the embodiment of the present application, an image capturing device may be installed in a sleeping space such as a bedroom, so that the image capturing device may be used to capture images of the user during sleep.

[0036] Exemplarily, in the embodiment of the present application, the image capturing device may be aimed at the bed used by the user for sleeping. At the same time, the image capturing device can be connected in communication with the back-end processing device, so as to send the captured image to the back-end processing device, so that the back-end processing device can process it according to the solution in the embodiment of the present application.

[0037] It should be understood that, in this embodiment of the present application, the image capture d...

Embodiment 2

[0082] In this embodiment, on the basis of Embodiment 1, a specific anomaly detection process is taken as an example to illustrate the solution of the present application.

[0083] The installation orientation of the image capture device is as follows: figure 2 as shown,

[0084] Step 0, the image capturing device acquires the currently captured image.

[0085] Step 1. Use the key point detection model based on deep learning to detect the key points of the human body in the currently captured image.

[0086] Step 2. When the key points of the human body are not detected, jump to step 0 and re-acquire the currently captured image. When the key points of the human body are detected, go to step 3.

[0087] Step 3. Determine whether the overall deviation between the key points of the human body in the currently captured image and the key points of the human body in the last captured image is greater than a preset first deviation threshold. If yes, go to step 4. If not, skip ...

Embodiment 3

[0093] Based on the same inventive concept, an embodiment of the present application also provides a device for detecting abnormal sleep. see image 3 as shown, image 3 A sleep abnormality detection device 100 corresponding to the method shown in the first embodiment is shown. It should be understood that the specific functions of the abnormal sleep detection device 100 may refer to the above description, and to avoid repetition, the detailed description is appropriately omitted here. The abnormal sleep detection device 100 includes at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the operating system of the abnormal sleep detection device 100 . specifically:

[0094] see image 3 As shown, the abnormal sleep detection device 100 includes: an acquisition module 101 and a processing module 102 . in:

[0095] The acquiring module 101 is configured to acquire the currently captured image;

[0096] Th...

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Abstract

The invention provides a sleep disorder detection method and device, electronic equipment and a readable storage medium. The method comprises the steps of obtaining a current shot image; and determining whether a target object is in a sleep disorder state or not according to the position change condition of the target object in the current shot image and a historical shot image. According to the invention, through the position change condition of the target object in the current shot image and the historical shot image, whether the sleep disorder state occurs or not when the human body falls in sleep can be effectively judged, and therefore active recognition of the sleep disorder state occurring in the sleep process can be effectively achieved. Furthermore, based on the identified sleep disorder state, the operation of marking the occurrence time of the sleep disorder state in monitoring and actively reminding disorder can be performed, so that a user can conveniently know possible problems in the sleep process of the target object, and the user is helped to conveniently master the possible disorder state in the sleep process without depending on a close-fitting sensor device.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to a method, device, electronic equipment, and readable storage medium for detecting abnormal sleep. Background technique [0002] With the development of smart home, people pay more and more attention to their quality of life. At present, people often monitor their sleep conditions by means of personal sensor devices, or by installing cameras and checking monitoring records. [0003] For the monitoring of sleep conditions by means of a close-fitting sensor device, since the sensor device still needs to be carried close to the body during sleep, the sleeping experience of the user is often affected. For the way of installing a camera, since the camera only realizes the function of data recording, it cannot realize the active identification of abnormal states during sleep, so it cannot realize the functions of actively marking and reminding whether abnormal s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00G06K9/32G06K9/00G08B21/06
CPCA61B5/4809A61B5/4806G08B21/06G06V40/20G06V40/10G06V10/25Y02D10/00
Inventor 张发恩林国森
Owner 创新奇智(北京)科技有限公司
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