CN110942824A - Sleep quality evaluation system based on artificial intelligence - Google Patents
Sleep quality evaluation system based on artificial intelligence Download PDFInfo
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- CN110942824A CN110942824A CN201911144052.5A CN201911144052A CN110942824A CN 110942824 A CN110942824 A CN 110942824A CN 201911144052 A CN201911144052 A CN 201911144052A CN 110942824 A CN110942824 A CN 110942824A
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- artificial intelligence
- acquisition device
- image acquisition
- far infrared
- sensor array
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4815—Sleep quality
Abstract
The invention discloses a sleep quality evaluation system based on artificial intelligence, which comprises an image acquisition device and a computer running an artificial intelligence program; the image acquisition device comprises a camera, a far infrared thermal sensor array, a controller and a memory; the controller controls the camera, the far infrared heat sensor array and the memory; the memory is used for storing image data shot by the camera and far infrared data obtained by the far infrared thermal sensor array; the computer running the artificial intelligence program contains a USB interface. The image acquisition device is provided with a USB interface, and data information stored in the memory can be read through the USB interface. The problem that the existing covering when people sleep affects video monitoring sleep quality equipment is solved.
Description
Technical Field
The invention relates to a sleep monitoring system, in particular to a sleep quality evaluation system based on artificial intelligence.
Background
At present, with the improvement of living standard of people, residents begin to concern about their living environments, and people pay attention to the living environments from air, drinking water to daily life states, so that people can see the concern about sleep quality from the monitoring of the heart rate and the sleep quality of the bracelet, and the sleep with the bracelet is interfered.
After that, some people propose to use video monitoring to realize the analysis of the sleep quality, and people mostly cover quilts when sleeping, so that the sleep is not obvious in posture of people, and the analysis of the sleep quality of people is influenced.
Therefore, a new design is needed to solve the problem of the influence of the coverage of people during sleeping on the video monitoring sleep quality equipment.
Disclosure of Invention
The invention aims to provide a sleep quality evaluation system based on artificial intelligence, which is used for solving the problem that the coverage of the existing person during sleep affects video monitoring sleep quality equipment.
In order to achieve the purpose, the invention adopts the following technical scheme:
an artificial intelligence based sleep quality evaluation system comprises an image acquisition device and a computer running an artificial intelligence program;
the image acquisition device comprises a camera, a far infrared heat sensor array, a controller and a memory; the controller controls the camera, the far infrared heat sensor array and the memory; the memory is used for storing image data shot by the camera and far infrared data obtained by the far infrared thermal sensor array;
the computer running the artificial intelligence program comprises a USB interface.
Preferably, the image capturing device is provided with a USB interface, and data information stored in the memory can be read through the USB interface.
A sleep quality evaluation system based on artificial intelligence comprises the working processes of:
step 1: before sleeping, a user presses a power switch of the image acquisition device and starts the image acquisition device;
step 2: the image acquisition device synchronously records and stores the image and the far infrared heat sensor array data in real time;
step 3: after waking up, a user is connected with a USB interface of the image acquisition device through a USB disk or other storage media, data information recorded and stored in the image acquisition device is read, and the data information is imported into a computer running the artificial intelligence program through the USB interface of the computer running the artificial intelligence program;
step 4: the computer running the artificial intelligence program fuses the data of the far infrared thermal sensor array into the image, and the posture of the user when the user is asleep is fitted by analyzing the distribution condition of the temperature in the view field of the image acquisition device, so that the complete process of the sleep posture of the user is acquired;
step 5: and operating an artificial intelligence program according to the sleeping posture of the user, measuring the sleeping quality of the user according to the information of turning over, posture and activity frequency of the user during sleeping, and giving a score of the sleeping quality.
Preferably, the artificial intelligence algorithm running in the computer running the artificial intelligence program is based on an openposition framework, and by learning the information of turning-over, posture and activity frequency of the person during sleep, the posture of the person during sleep is recognized, so that the sleep quality of the person is evaluated.
Preferably, the far infrared thermal sensor array employs MLX90641 having a michael core.
The invention has the following advantages:
by adopting the sleep quality evaluation system based on artificial intelligence, the influence of the covering on a video monitoring device when people sleep is eliminated by utilizing the far infrared heat sensor array, the posture of the people during sleep is obtained more clearly and reliably, the human posture is identified by adopting the artificial intelligence openfuse framework, the automatic evaluation of the sleep quality is further realized, the score is given, and the control of a user on the sleep quality condition is assisted. Meanwhile, the privacy leakage problem of the camera is avoided by adopting a storage medium mode, and the reliability and the practicability of the equipment for simply recording the video are improved.
Drawings
Fig. 1 is a system composition schematic diagram of a sleep quality evaluation system based on artificial intelligence of the present invention.
Fig. 2 is a schematic diagram of a working process of the sleep quality evaluation system based on artificial intelligence.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms such as "upper", "lower", "left", "right" and "middle" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and changes or modifications of the relative relationship may be made without substantial changes in the technical contents.
Example 1
Referring to fig. 1, an artificial intelligence based sleep quality evaluation system includes an image acquisition device and a computer running an artificial intelligence program;
the image acquisition device comprises a camera, a far infrared heat sensor array, a controller and a memory; the controller controls the camera, the far infrared heat sensor array and the memory; the memory is used for storing image data shot by the camera and far infrared data obtained by the far infrared thermal sensor array;
the computer running the artificial intelligence program comprises a USB interface.
In specific implementation, the image acquisition device is provided with a USB interface, and data information stored in the memory can be read through the USB interface.
During the concrete implementation, camera and far infrared heat sensor array are with the optical axis to in the image information that the information fusion that the far infrared heat sensor array acquireed was acquireed into the camera, the far infrared heat sensor array uses STM32 as core control chip, transmits the memory of image acquisition device after reading the data of far infrared sensor array through the IIC agreement.
Referring to fig. 2, a sleep quality evaluation system based on artificial intelligence, the working process is:
step 1: before sleeping, a user presses a power switch of the image acquisition device and starts the image acquisition device;
step 2: the image acquisition device synchronously records and stores the image and the far infrared heat sensor array data in real time;
step 3: after waking up, a user is connected with a USB interface of the image acquisition device through a USB disk or other storage media, data information recorded and stored in the image acquisition device is read, and the data information is imported into a computer running the artificial intelligence program through the USB interface of the computer running the artificial intelligence program;
step 4: the computer running the artificial intelligence program fuses the data of the far infrared thermal sensor array into the image, and the posture of the user when the user is asleep is fitted by analyzing the distribution condition of the temperature in the view field of the image acquisition device, so that the complete process of the sleep posture of the user is acquired;
step 5: and operating an artificial intelligence program according to the sleeping posture of the user, measuring the sleeping quality of the user according to the information of turning over, posture and activity frequency of the user during sleeping, and giving a score of the sleeping quality.
In specific implementation, the artificial intelligence algorithm running in the computer running the artificial intelligence program is based on an openposition framework, and by learning the information of turning-over, body posture and activity frequency of the person in sleep, the posture of the person in sleep is recognized, so that the sleep quality of the person is evaluated.
In specific implementation, the far infrared thermal sensor array adopts MLX90641 with a marching core.
By adopting the sleep quality evaluation system based on artificial intelligence, the influence of the covering on a video monitoring device when people sleep is eliminated by utilizing the far infrared heat sensor array, the posture of the people during sleep is obtained more clearly and reliably, the human posture is identified by adopting the artificial intelligence openfuse framework, the automatic evaluation of the sleep quality is further realized, the score is given, and the control of a user on the sleep quality condition is assisted. Meanwhile, the privacy leakage problem of the camera is avoided by adopting a storage medium mode, and the reliability and the practicability of the equipment for simply recording the video are improved.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (5)
1. A sleep quality evaluation system based on artificial intelligence is characterized in that: the evaluation system comprises an image acquisition device and a computer for operating an artificial intelligence program;
the image acquisition device comprises a camera, a far infrared heat sensor array, a controller and a memory; the controller controls the camera, the far infrared heat sensor array and the memory; the memory is used for storing image data shot by the camera and far infrared data obtained by the far infrared thermal sensor array;
the computer running the artificial intelligence program comprises a USB interface.
2. The artificial intelligence based sleep quality assessment system according to claim 1, wherein: the image acquisition device is provided with a USB interface, and data information stored in the memory can be read through the USB interface.
3. The artificial intelligence based sleep quality assessment system according to claim 1, wherein: the working process of the evaluation system is as follows:
step 1: before sleeping, a user presses a power switch of the image acquisition device and starts the image acquisition device;
step 2: the image acquisition device synchronously records and stores the image and the far infrared heat sensor array data in real time;
step 3: after waking up, a user is connected with a USB interface of the image acquisition device through a USB disk or other storage media, data information recorded and stored in the image acquisition device is read, and the data information is imported into a computer running the artificial intelligence program through the USB interface of the computer running the artificial intelligence program;
step 4: the computer running the artificial intelligence program fuses the data of the far infrared thermal sensor array into the image, and the posture of the user when the user is asleep is fitted by analyzing the distribution condition of the temperature in the view field of the image acquisition device, so that the complete process of the sleep posture of the user is acquired;
step 5: and operating an artificial intelligence program according to the sleeping posture of the user, measuring the sleeping quality of the user according to the information of turning over, posture and activity frequency of the user during sleeping, and giving a score of the sleeping quality.
4. The artificial intelligence based sleep quality assessment system according to claim 1, wherein: the artificial intelligence algorithm operated in the computer operating the artificial intelligence program is based on an openposition framework, and realizes the recognition of the posture of the person during sleeping through the learning of the information of turning-over, posture and activity frequency of the person during sleeping, thereby realizing the evaluation of the sleep quality of the person.
5. The artificial intelligence based sleep quality assessment system according to claim 1, wherein: the far infrared heat sensor array adopts MLX90641 with a Michelson core.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911144052.5A CN110942824A (en) | 2019-11-21 | 2019-11-21 | Sleep quality evaluation system based on artificial intelligence |
| CN202011274897.9A CN112102946B (en) | 2019-11-21 | 2020-11-16 | Sleep quality detection method and device based on deep learning |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911144052.5A CN110942824A (en) | 2019-11-21 | 2019-11-21 | Sleep quality evaluation system based on artificial intelligence |
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| CN110942824A true CN110942824A (en) | 2020-03-31 |
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| CN201911144052.5A Pending CN110942824A (en) | 2019-11-21 | 2019-11-21 | Sleep quality evaluation system based on artificial intelligence |
| CN202011274897.9A Active CN112102946B (en) | 2019-11-21 | 2020-11-16 | Sleep quality detection method and device based on deep learning |
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| CN113365382B (en) * | 2021-08-10 | 2021-11-09 | 深圳市信润富联数字科技有限公司 | Light control method and device, electronic equipment and storage medium |
| CN115581435A (en) * | 2022-08-30 | 2023-01-10 | 湖南万脉医疗科技有限公司 | Sleep monitoring method and device based on multiple sensors |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2001108278A (en) * | 1999-10-05 | 2001-04-20 | Daikin Ind Ltd | Air conditioner |
| CN101972140A (en) * | 2010-09-07 | 2011-02-16 | 航天海鹰安全技术工程有限公司 | Thermal imaging temperature monitoring device, system and method |
| CN104083160A (en) * | 2014-06-30 | 2014-10-08 | 天津大学 | Sleep state monitoring method and device based on machine vision |
| CN104834946B (en) * | 2015-04-09 | 2018-02-09 | 清华大学 | A kind of contactless sleep monitor method and system |
| CN105930778A (en) * | 2016-04-14 | 2016-09-07 | 厦门理工学院 | Nighttime human sleeping posture monitoring method and system based on infrared image |
| CN105894424A (en) * | 2016-06-30 | 2016-08-24 | 宁德师范学院 | Sleep quality monitoring method |
| CN109102898A (en) * | 2018-07-20 | 2018-12-28 | 渝新智能科技（上海）有限公司 | A kind of method for building up, device and the equipment of large database concept of sleeping |
| CN109886137A (en) * | 2019-01-27 | 2019-06-14 | 武汉星巡智能科技有限公司 | Infant sleeping posture detection method, device and computer readable storage medium |
| CN109934182A (en) * | 2019-03-18 | 2019-06-25 | 北京旷视科技有限公司 | Object behavior analysis method, device, electronic equipment and computer storage medium |
| CN110348500A (en) * | 2019-06-30 | 2019-10-18 | 浙江大学 | Sleep disturbance aided diagnosis method based on deep learning and infrared thermal imagery |
| CN110472481B (en) * | 2019-07-01 | 2024-01-05 | 华南师范大学 | Sleeping gesture detection method, device and equipment |
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| CN112102946B (en) | 2021-08-03 |
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