CN113096809A - Health management system based on cloud computing - Google Patents

Health management system based on cloud computing Download PDF

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CN113096809A
CN113096809A CN202110472597.XA CN202110472597A CN113096809A CN 113096809 A CN113096809 A CN 113096809A CN 202110472597 A CN202110472597 A CN 202110472597A CN 113096809 A CN113096809 A CN 113096809A
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data
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杨正
易慧芳
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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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5072—Grid computing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation

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Abstract

The invention provides a health management system based on cloud computing, which comprises a login control module, a display module, a data acquisition module and a cloud computing data analysis module, wherein the login control module is used for acquiring data; the login control module is used for carrying out identity authentication on the user in a face recognition mode; the display module is used for displaying the physical state data of the user and health suggestion information generated based on the physical health data to the user who passes identity authentication; the data acquisition module is used for acquiring the body state data of the user; the cloud computing data analysis module is used for analyzing the body state data to generate health suggestion information. The invention can effectively avoid the problems of insufficient security of account secret and inconvenient use for the old due to the adoption of account password login in the prior art. And meanwhile, frequent local upgrade updating of the user can be avoided.

Description

Health management system based on cloud computing
Technical Field
The invention relates to the field of management, in particular to a health management system based on cloud computing.
Background
Health management refers to the process of comprehensively managing health risk factors of individuals or groups of people. The aim is to mobilize the enthusiasm of individuals and groups and effectively utilize limited resources to achieve the maximum health effect. The body health state data of the human body needs to be comprehensively acquired, and then corresponding health advice is given according to the health state data or prompt is given in time when the body abnormity is found. The health management system in the prior art generally adopts a login mode of an account password, but the login mode is not high enough in safety, and the old people can easily forget the account password, so that the use is inconvenient.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a health management system based on cloud computing.
The invention provides a health management system based on cloud computing, which comprises a login control module, a display module, a data acquisition module and a cloud computing data analysis module, wherein the login control module is used for acquiring data;
the login control module is used for carrying out identity authentication on the user in a face recognition mode;
the display module is used for displaying the physical state data of the user and health suggestion information generated based on the physical health data to the user who passes identity authentication;
the data acquisition module is used for acquiring the body state data of the user and transmitting the body state data to the data analysis module;
the cloud computing data analysis module is used for analyzing the body state data to generate health suggestion information.
Preferably, the login control module comprises a shooting unit, a quality judgment unit, a control unit and an identity recognition unit;
the shooting unit is used for acquiring a face image of the user and transmitting the face image to the quality judgment unit;
the quality judgment unit is used for grading the face image, and if the grade is greater than a preset grade threshold value, the face image is transmitted to the identity recognition unit; if the score is less than or equal to a preset score threshold value, sending a re-shooting instruction to a control module;
the control unit is used for controlling the shooting unit to reacquire the face image of the user after receiving the re-shooting instruction;
the identity recognition unit is used for matching the face image with a pre-stored verification image, if the face image is successfully matched, the user passes identity verification, and if the face image is not successfully matched, the user does not pass identity verification.
Preferably, the login control module further comprises a control authority management unit, and the authority management unit is used for opening the authority for using the display module to the user after the user passes the identity authentication.
Preferably, the display module is arranged in a terminal device, and the terminal device includes a smart phone, a tablet computer, and a notebook computer.
Preferably, the data acquisition module comprises a device management unit and a data acquisition unit;
the data acquisition unit is used for acquiring the body state data of the user through the bound data acquisition device;
and the equipment management unit manages the data acquisition device by a user.
Preferably, the cloud computing data analysis module is disposed in a cloud computing platform.
Compared with the prior art, the invention has the advantages that:
the invention adopts a face recognition mode to log in, and can effectively avoid the problems of insufficient security of account secret and inconvenient use for the old people caused by logging in by account passwords in the prior art. Meanwhile, data analysis is carried out on the body state data in a cloud computing mode, related data analysis model merchants can directly update on the cloud platform, and frequent local updating of users can be avoided.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an exemplary embodiment of a health management system based on cloud computing according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, in an embodiment, the present invention provides a health management system based on cloud computing, which includes a login control module, a display module, a data acquisition module, and a cloud computing data analysis module;
the login control module is used for carrying out identity authentication on the user in a face recognition mode;
the display module is used for displaying the physical state data of the user and health suggestion information generated based on the physical health data to the user who passes identity authentication;
the data acquisition module is used for acquiring the body state data of the user and transmitting the body state data to the data analysis module;
the cloud computing data analysis module is used for analyzing the body state data to generate health suggestion information.
The health advice is generated by a data analysis model stored in the cloud computing data analysis module, and for example, when the short sleep time and the accelerated average heartbeat speed of the user are detected, the generated health advice includes: the user is advised to pay attention to the prolongation of sleep time and to eat more vitamin B-rich food.
Preferably, the login control module comprises a shooting unit, a quality judgment unit, a control unit and an identity recognition unit;
the shooting unit is used for acquiring a face image of the user and transmitting the face image to the quality judgment unit;
the quality judgment unit is used for grading the face image, and if the grade is greater than a preset grade threshold value, the face image is transmitted to the identity recognition unit; if the score is less than or equal to a preset score threshold value, sending a re-shooting instruction to a control module;
the control unit is used for controlling the shooting unit to reacquire the face image of the user after receiving the re-shooting instruction;
the identity recognition unit is used for matching the face image with a pre-stored verification image, if the face image is successfully matched, the user passes identity verification, and if the face image is not successfully matched, the user does not pass identity verification.
According to the embodiment of the invention, the obtained face image is scored, then the face image with low quality can be prevented from entering the subsequent identification process, and the face image with low quality is effectively prevented from occupying computing resources, so that the speed of identity verification of the login control module is increased, and the user experience of the invention is effectively improved.
The verification image is a face image of a person with the authority of using the health management system of the invention prestored in the identity recognition unit, and whether the user passes the identity verification is judged through the similarity between the verification image and the face image acquired by the shooting unit.
Preferably, the matching the face image with a pre-stored verification image includes:
respectively acquiring feature information of the face image and the verification image;
calculating the similarity between the face image and the verification image according to the characteristic information;
if the similarity is larger than a preset comparison threshold, the matching is successful, otherwise, the matching is failed.
Preferably, the feature information of the face image is acquired by:
carrying out gray processing on the face image to obtain a preprocessed image;
carrying out noise reduction processing on the preprocessed image to obtain an image to be identified;
and acquiring the characteristic information in the image to be identified by using a preset characteristic identification algorithm.
Feature recognition algorithms such as sift algorithm, log algorithm, etc.
Preferably, the performing noise reduction processing on the preprocessed image includes:
carrying out edge detection on the preprocessed image by using an edge detection algorithm to obtain an edge image;
carrying out noise reduction processing on the preprocessed image by using a self-defined noise reduction processing algorithm to obtain a processed image:
dividing the preprocessed image into N blocks with the same area;
for the nth blocknTo judge the blocknIf white noise exists in the system, the system is used for the blobnPreprocessing is carried out to obtain a preprocessing block, then denoising processing is carried out on the preprocessing block by using a wavelet denoising algorithm to obtain a denoised block affokn(ii) a If not, directly using wavelet noise reduction algorithm to blocknCarrying out noise reduction processing to obtain a noise-reduced block afblokn；
Block is processed by the following methodnCarrying out pretreatment:
Figure BDA0003045929080000041
wherein, afblock (m) represents a pair blocknAfter the m-th pixel point in the image is preprocessed, the value of the m-th pixel point, nUmIs represented by blobnThe m-th pixel point in the set of pixels in the window with h × h size, wherein dtm (m) and dtm (u) respectively represent blobnMiddle mth pixel point and nUmMiddle pixel point u and blobnIs equal to (2), dtmc represents nUmPixel point and blob in (1)nIs calculated, lp (m) and lp (u) respectively represent bloknMiddle mth pixel point and nUmThe L component of the pixel point of the corresponding pixel point in the Lab image of the pixel point u in the face imageThe value of the pixel is determined by the pixel value,
Figure BDA0003045929080000042
forming a processing image by all the noise-reduced blocks;
fusing the edge image and the processed image to obtain an image to be identified:
fusing the edge image and the processed image using the following formula:
dsp＝α×blp+β×dlp
in the formula, dsp, blp, dlp respectively represent the image to be recognized, the edge image, and the processed image, α and β are preset weight parameters, and the sum of α and β is 1.
According to the embodiment of the invention, when the noise reduction processing is performed on the preprocessed image, the preprocessed image is divided into the plurality of blocks, and then each block is subjected to targeted processing, so that the noise reduction accuracy is improved, a high-quality image is provided for a subsequent matching process, and the safety of the image matching method is improved.
When the block is processed, whether white noise exists in the block is judged, if not, wavelet denoising is directly adopted for processing, if yes, the block is preprocessed to remove the white noise, and then the wavelet denoising is used for processing. The processing mode can avoid the problem of image blurring caused by traditional Gaussian noise reduction and can also keep more effective information in the preprocessing block. Meanwhile, because the wavelet denoising treatment has poor denoising effect on the white noise, the accuracy of the wavelet denoising is further enhanced by removing the white noise.
When the white noise is subjected to noise reduction processing, the difference between the distance between the current pixel point and the neighbor pixel point and the difference between the current pixel point and the average coordinate and the pixel value of the neighbor pixel point on the L component are fully considered, the smaller the difference is, the larger the contribution is in the preprocessing formula, and therefore the white noise is effectively removed while the edge information is kept as much as possible.
Finally, the image to be recognized is generated in an image fusion mode, the edge image removes noise points in advance, therefore, effective edge pixel points are remained, after the image fusion, effective information of the edge of the image is reserved in the image to be recognized, and the noise is removed efficiently, so that the image to be recognized with high quality is obtained.
Preferably, the login control module further comprises a control authority management unit, and the authority management unit is used for opening the authority for using the display module to the user after the user passes the identity authentication.
Preferably, the display module is arranged in a terminal device, and the terminal device includes a smart phone, a tablet computer, and a notebook computer.
For example, when the login control module and the display module are both arranged in the terminal device, a login page is firstly displayed to the user, and the user enters the display page after passing the identity authentication.
Preferably, the data acquisition module comprises a device management unit and a data acquisition unit;
the data acquisition unit is used for acquiring the body state data of the user through the bound data acquisition device;
and the equipment management unit manages the data acquisition device by a user.
The data acquisition device comprises an intelligent bracelet, an intelligent sphygmomanometer, an intelligent blood glucose detector, an intelligent body fat meter and the like, and the equipment management unit binds the data acquisition device with the equipment management unit, so that the data acquisition device is communicated with the data acquisition device, and body state data are acquired from the data acquisition device. The device management may also unbundle the unwanted data acquisition devices, after which the unbundled data acquisition devices will no longer communicate with the device management unit.
Preferably, the cloud computing data analysis module is disposed in a cloud computing platform.
Compared with the prior art, the invention has the advantages that:
the invention adopts a face recognition mode to log in, and can effectively avoid the problems of insufficient security of account secret and inconvenient use for the old people caused by logging in by account passwords in the prior art. Meanwhile, data analysis is carried out on the body state data in a cloud computing mode, related data analysis model merchants can directly update on the cloud platform, and frequent local updating of users can be avoided.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (6)

1. A health management system based on cloud computing is characterized by comprising a login control module, a display module, a data acquisition module and a cloud computing data analysis module;
the login control module is used for carrying out identity authentication on the user in a face recognition mode;
the display module is used for displaying the physical state data of the user and health suggestion information generated based on the physical health data to the user who passes identity authentication;
the data acquisition module is used for acquiring the body state data of the user and transmitting the body state data to the data analysis module;
the cloud computing data analysis module is used for analyzing the body state data to generate health suggestion information.
2. The cloud computing-based health management system of claim 1, wherein the login control module comprises a shooting unit, a quality judgment unit, a control unit and an identity recognition unit;
the shooting unit is used for acquiring a face image of the user and transmitting the face image to the quality judgment unit;
the quality judgment unit is used for grading the face image, and if the grade is greater than a preset grade threshold value, the face image is transmitted to the identity recognition unit; if the score is less than or equal to a preset score threshold value, sending a re-shooting instruction to a control module;
the control unit is used for controlling the shooting unit to reacquire the face image of the user after receiving the re-shooting instruction;
the identity recognition unit is used for matching the face image with a pre-stored verification image, if the face image is successfully matched, the user passes identity verification, and if the face image is not successfully matched, the user does not pass identity verification.
3. The cloud-computing-based health management system of claim 2, wherein the login control module further comprises a right control management unit, and the right management unit is configured to open the right to use the display module to the user after the user passes the identity authentication.
4. The cloud-computing-based health management system of claim 1, wherein the display module is disposed in a terminal device, and the terminal device comprises a smart phone, a tablet computer, and a notebook computer.
5. The cloud computing-based health management system of claim 1, wherein the data acquisition module comprises a device management unit and a data acquisition unit;
the data acquisition unit is used for acquiring the body state data of the user through the bound data acquisition device;
and the equipment management unit manages the data acquisition device by a user.
6. The cloud-computing-based health management system of claim 1, wherein the cloud computing data analysis module is disposed in a cloud computing platform.
CN202110472597.XA 2021-04-29 2021-04-29 Health management system based on cloud computing Withdrawn CN113096809A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114582003A (en) * 2022-04-24 2022-06-03 慕思健康睡眠股份有限公司 Sleep health management system based on cloud computing service

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114582003A (en) * 2022-04-24 2022-06-03 慕思健康睡眠股份有限公司 Sleep health management system based on cloud computing service
CN114582003B (en) * 2022-04-24 2022-07-29 慕思健康睡眠股份有限公司 Sleep health management system based on cloud computing service

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