CN115240849A - Method and system for recording and reminding use characteristics and visual fatigue of electronic product - Google Patents
Method and system for recording and reminding use characteristics and visual fatigue of electronic product Download PDFInfo
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Abstract
The invention discloses a method and a system for recording and reminding use characteristics and visual fatigue of electronic products, wherein the method comprises the following steps: collecting a facial image of a user, comparing the facial image with an image in a database, determining a user account, and recording the use time; identifying and obtaining eyeball characteristics, and calculating the distance between eyeballs and a screen; identifying and obtaining eye features, and calculating blink frequency; identifying the iris of the eyeball, and tracking and identifying to obtain eye movement change characteristics; and calculating the visual fatigue score based on a preset algorithm model established based on the ophthalmologic professional knowledge, and sending out a warning prompt when the score is smaller than a prompt threshold value. By the technical scheme, the using time, the eye using distance, the blinking frequency and the eye movement change characteristics of the user on the electronic product can be comprehensively judged, so that the asthenopia score is obtained, further reminding and intervention means are provided, the use of the electronic product is managed more conveniently, efficiently and scientifically, the eye using rule of the electronic product can be monitored based on long-term data, and a targeted eye using suggestion can be provided.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a system for recording and reminding use characteristics and visual fatigue of an electronic product.
Background
In recent years, health risks due to abuse of electronic products have been receiving attention.
At present, children use a web course form to study online, which further aggravates the abuse of electronic products. Some experts believe that the use of electronic products can reduce outdoor activity time and increase the burden of eyes in close range, and the electronic products can also generate unique 'blue light' hazards, damage fundus photoreceptor cells, inhibit melatonin secretion, and influence visual development and biorhythm, thereby causing a series of health problems mainly including myopia. It is predicted that the global myopic population in 2050 would be approximately 47.6 billion without effective intervention.
At present, no effective monitoring and controlling means is available for the use of electronic products for children and visual fatigue caused by the electronic products, so that the supervision of parents, the propaganda and education of schools and the appeal of experts are mainly used, and the effect is very little. The development of a tool which can objectively monitor the use characteristics of electronic products of children and give targeted use suggestions and reminders according to individual response differences and by combining with ophthalmological professional knowledge is urgently needed.
Although the recording technology of the electronic product using time is available at present, the following problems still exist:
(1) Only the total use time of the electronic equipment is recorded, the use objects are not distinguished, and the use time of different individuals cannot be reflected. Especially for children and teenagers, the electronic product is used by parents, but the current products in the market cannot distinguish different use time lengths of parents and children, and cannot reflect the total use time length of the same user without the electronic product.
(2) The current technology mainly focuses on objective records, has relatively short reminding and intervention functions, especially lacks professional consideration for eye protection, and cannot set targeted threshold duration according to visual characteristics of different individuals. Furthermore, attention is paid only to the length of eye use, and there is no comprehensive consideration of the eye use distance and the eye use concentration.
(3) In addition, the current separately developed electronic product recording software is complex in operation, high in power consumption, more authorities need to be set, and a background is easy to automatically pause, so that the use is influenced.
Disclosure of Invention
Aiming at the problems, the invention provides a method for recording and reminding the use characteristics and the visual fatigue of an electronic product, which judges the continuous use time of a certain user on the electronic product through facial image recognition, eyeball distance calculation, blink frequency calculation and eye movement change tracking, and simultaneously judges the eye use concentration condition of the user according to the blink frequency and the eye movement change characteristics, so that the visual fatigue score is obtained through comprehensive analysis and calculation based on the ophthalmologic professional knowledge, further reminding and intervention means are provided, the use of the electronic product is managed more conveniently, more efficiently and scientifically, the myopia is prevented accurately, the visual health is protected, the eye use rule of the electronic product is monitored based on long-term data, and a targeted eye use suggestion is provided.
In order to achieve the purpose, the invention provides a method for recording and reminding use characteristics and visual fatigue of an electronic product, which comprises the following steps:
acquiring a user face image in the using process of an electronic product by utilizing a front camera of the electronic product;
comparing the user face image with a user face image preset in a database, determining a user account corresponding to the current user, and recording the service time of the current user for the current electronic product;
identifying eyeball characteristics from the facial image of the user, and calculating the distance between the eyeballs and the screen of the electronic product;
identifying eye features from the user face image, and calculating the blinking frequency of the current user according to the blinking change rule of the eye feature points;
identifying an eyeball iris from the user face image, and tracking and identifying to obtain eye movement change characteristics;
comprehensively analyzing the use time, the eye using distance, the blinking frequency and the eye movement change characteristics of the current user, and calculating to obtain the asthenopia score of the current user based on a preset algorithm model;
and comparing the visual fatigue score of the current user with a preset reminding threshold value, and sending out a warning reminding when the visual fatigue score is smaller than the reminding threshold value.
In the above technical solution, preferably, an image pattern recognition technology is used to compare the user face image with a user face image preset in a database, determine a user account corresponding to the current user face image, and record the use data of the current user face image for the current electronic product with the current user account.
In the above technical solution, preferably, by using an image pattern recognition technology, a midpoint between two eyeballs is identified and obtained from the face image of the user, and a distance between an eyeball and a screen of the electronic product is calculated according to a distance measurement algorithm, and is used as the eye using distance.
In the above technical solution, preferably, an image pattern recognition technology is used to recognize eye feature points from the face image of the user, and the eye feature points are compared with a preset threshold value according to a blink variation rule of the eye feature points to determine whether blinking occurs, and the blink frequency of the current user is recorded.
In the above technical solution, preferably, the eye in the face image of the user is detected and positioned by using the facial markers, a plurality of structural coordinates of the eye features are extracted, the eye aspect ratio is calculated according to the structural coordinates of the eye features, and when the eye aspect ratio is increased to an original range value after being smaller than a preset threshold value within a preset time, it is determined that the current user has a single blinking process, so as to record the blinking frequency of the current user.
In the above technical solution, preferably, an image pattern recognition technology is used to obtain the iris feature of the eyeball from the facial image of the user through recognition, a rectangular integral variance operator is used to locate the iris feature in the facial image of the first frame of user, and the eye movement change feature changing with time is obtained through tracking.
In the above technical solution, preferably, the asthenopia score of the current user is calculated based on a preset algorithm model according to the use time, the eye distance, the blinking frequency and the eye movement change characteristics of the current user for the electronic product, in combination with the ophthalmologic professional knowledge.
In the above technical solution, preferably, if the visual fatigue score is lower than a preset reminding threshold, a warning reminder is sent through the electronic product, and the warning reminder is a sound reminder and/or a pop-up window reminder.
In the above technical solution, preferably, the method for recording and reminding the use characteristics and the visual fatigue of the electronic product further includes: and uploading the eye use state data of the current user face image to a server based on the corresponding user account.
The invention also provides a system for recording and reminding the use characteristics and the visual fatigue of the electronic product, which is applied to the method for recording and reminding the use characteristics and the visual fatigue of the electronic product disclosed by any one of the technical schemes and comprises the following steps:
the face image acquisition module is used for acquiring a face image of a user in the using process of an electronic product by utilizing a front camera of the electronic product;
the user use recording module is used for comparing the user face image with a user face image preset in a database, determining a user account corresponding to the current user and recording the use time of the current user for the current electronic product;
the eye distance calculation module is used for identifying eyeball characteristics from the facial image of the user and calculating the distance between the eyeballs and the screen of the electronic product;
the blink frequency calculation module is used for identifying eye features from the face image of the user and calculating the blink frequency of the current user according to the blink change rule of the eye feature points;
the eye movement change tracking module is used for identifying the iris of the eyeball from the facial image of the user and tracking and identifying to obtain eye movement change characteristics;
the eye fatigue scoring module is used for comprehensively analyzing the service time, the eye distance, the blinking frequency and the eye movement change characteristics of the current user and calculating the eye fatigue scoring of the current user based on a preset algorithm model;
and the eye fatigue reminding module is used for comparing the visual fatigue score of the current user with a preset reminding threshold value and sending out a warning reminding when the visual fatigue score is smaller than the reminding threshold value.
Compared with the prior art, the invention has the following beneficial effects: through facial image recognition, eyeball distance calculation, blink frequency calculation and eye movement change tracking, the continuous use time of a certain user on an electronic product is judged, meanwhile, the eye use condition of the user is judged according to blink frequency and eye movement change characteristics, so that the eye fatigue score is obtained through comprehensive analysis and calculation based on ophthalmologic professional knowledge, further reminding and intervention means are provided, the electronic product is managed more conveniently, efficiently and scientifically, myopia is prevented accurately, the eyesight is protected, the eye use rule of the electronic product is monitored based on long-term data, and a targeted eye use suggestion is provided.
Drawings
Fig. 1 is a schematic flow chart of a method for recording and reminding usage characteristics and visual fatigue of an electronic product according to an embodiment of the present invention;
fig. 2 is a schematic view of the recording of the use characteristics and the visual fatigue of the electronic product and the recording and reminding method of the visual fatigue and the recording of the use time according to an embodiment of the invention;
fig. 3 is a schematic diagram illustrating a blink variation recognition principle of a method for recording and reminding the use characteristics and the asthenopia of an electronic product according to an embodiment of the invention;
fig. 4 is a block logic diagram of a system for recording and reminding usage characteristics and visual fatigue of an electronic product according to an embodiment of the present invention.
In the drawings, the correspondence between each component and a reference numeral is:
11. the system comprises a face image acquisition module, a user use recording module, a 13 eye use distance calculation module, a 14 blink frequency calculation module, a 15 eye movement change tracking module, a 16 eye use fatigue scoring module and a 17 eye use fatigue reminding module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 1 and fig. 2, the method for recording and reminding the use characteristics and the visual fatigue of the electronic product provided by the invention comprises the following steps:
acquiring a user face image in the using process of the electronic product by utilizing a front camera of the electronic product;
comparing the user face image with a user face image preset in a database, determining a user account corresponding to the current user, and recording the service time of the current user for the current electronic product;
identifying eyeball characteristics from the facial image of the user, and calculating the distance between the eyeballs and the screen of the electronic product;
identifying eye features from the face image of the user, and calculating the blinking frequency of the current user according to the blinking change rule of the eye feature points;
identifying an eyeball iris from the facial image of the user, and tracking and identifying to obtain eye movement change characteristics;
comprehensively analyzing the service time, the eye distance, the blinking frequency and the eye movement change characteristics of the current user, and calculating to obtain the asthenopia score of the current user based on a preset algorithm model;
and comparing the visual fatigue score of the current user with a preset reminding threshold value, and sending out a warning reminding when the visual fatigue score is smaller than the reminding threshold value.
In the embodiment, the continuous use time of a certain user on the electronic product is judged through facial image recognition, eyeball distance calculation, blink frequency calculation and eye movement change tracking, meanwhile, the eye use condition of the user is judged according to the blink frequency and the eye movement change characteristics, so that the eye fatigue score is obtained through comprehensive analysis and calculation based on the ophthalmologic professional knowledge, further reminding and intervention means are provided, the use of the electronic product is managed more conveniently, efficiently and scientifically, myopia is prevented accurately, the eyesight health is protected, the eye use rule of the electronic product is monitored based on long-term data, and a targeted eye use suggestion is provided.
Specifically, based on existing ophthalmological expertise and interdisciplinary artificial intelligence algorithm technology, the following developments are made:
1. recording the use characteristics of electronic products of different users: the invention realizes the objective monitoring of the use characteristics of different users in different electronic products by the face recognition, eyeball distance calculation, blink frequency calculation and eye movement change tracking technologies.
2. Giving a reminder and precise intervention based on the eye reaction of the user: the method is combined with ophthalmological professional knowledge, facial features are analyzed, changes of the blinking frequency of the user are obtained in real time, a feature curve is drawn, and the asthenopia score is calculated, so that prompt reminding and intervention are given when the blinking frequency exceeds a special threshold.
3. Professional eye protection advice is given according to different user use characteristics: according to the method, the key parameters of the eyes are extracted through an artificial intelligence algorithm, the eye duration, the eye distance and the eye movement frequency characteristics are obtained, an algorithm model is established by combining visual fatigue scoring, and use suggestions of different characteristics are given according to different use concentration degrees and eye distance conditions.
In the foregoing embodiment, preferably, by using an image pattern recognition technology, the user face image is compared with a user face image preset in a database, a user account corresponding to the current user face image is determined, and the current user account records the use data of the current user face image for the current electronic product.
In the above embodiment, preferably, the image pattern recognition technology is used to recognize the midpoint between two eyeballs from the face image of the user, and the distance between the eyeballs and the screen of the electronic product is calculated according to the distance measurement algorithm, and is used as the eye using distance.
In the foregoing embodiment, preferably, an image pattern recognition technology is used to recognize eye feature points from a facial image of a user, compare the eye feature points with a preset threshold according to a blink variation rule of the eye feature points to determine whether a blink occurs, and record a blink frequency of the current user.
In the foregoing embodiment, preferably, the facial markers are used to detect and position eyes in the facial image of the user, extract a plurality of structural coordinates of the eye features, calculate the eye aspect ratio according to the eye feature structural coordinates, and determine that the current user has a single blinking process when the eye aspect ratio is smaller than a preset threshold value and then increases to an original range value within a preset time, so as to record the blinking frequency of the current user.
As shown in FIG. 3, specifically, each eye consists of 6 ocular features (p 1-p) 6 ) Starting from the left corner of the eye and then displayed clockwise around the rest of the area, there is a certain relationship between the width and height of the coordinates, expressed in terms of the Eye Aspect Ratio (EAR), and the formula is calculated as:
the eye aspect ratio rapidly decreases to near zero when blinking and increases when the eye is open, indicating that a single blink has occurred.
In the above embodiment, preferably, the image pattern recognition technology is used to identify the iris features of the eyeball from the user face image, the rectangle integral variance operator is used to locate the iris features in the first frame of user face image, and the eye movement change features changing with time are tracked and acquired.
In the above embodiment, preferably, the asthenopia score of the current user is calculated based on a preset algorithm model according to the usage time, eye distance, blinking frequency and eye movement variation characteristics of the current user for the electronic product, in combination with the ophthalmologic expertise.
In the foregoing embodiment, preferably, if the visual fatigue score is lower than a preset reminding threshold, a warning reminder is sent through the electronic product, and the warning reminder is a sound reminder and/or a pop-up window reminder.
In the above embodiment, preferably, the method for recording and reminding the usage characteristics and the visual fatigue of the electronic product further comprises: the eye use state data of the current user face image are uploaded to a server based on a corresponding user account, and the server can count and analyze the eye use state data of the user.
According to the using characteristics of the electronic product and the method for recording and reminding visual fatigue, disclosed by the embodiment, the specific steps are as follows:
s1: collecting a face image of a user in the using process of an electronic product;
s2: comparing the facial image of the user with the image in the database to determine a specific user account for subsequent process recording and result output;
s3: identifying eyeballs from the facial image of the user, identifying the middle points of the two eyeballs, activating a distance measurement algorithm, calculating the distance between the eyeballs and a screen, and recording related data to the specific user account;
s4: identifying eye feature points from the face image of the user, comparing the eye feature points with a preset threshold value according to the blinking change rule of the eye feature points, recording the eye feature points as one-time blinking if the eye feature points are smaller than the threshold value, and synchronizing the record to the specific user account in real time;
s5: identifying an eyeball iris from the facial image, tracking and acquiring an eye movement signal changing along with time, and synchronizing the record to the specific user account in real time;
s6: performing background analysis according to the eye distance, the blinking frequency and the eye movement characteristics, judging the visual fatigue condition of the current state, giving a visual fatigue scoring suggestion, and synchronously storing the visual fatigue scoring suggestion in the specific user account;
s7: and comparing the visual fatigue scores, and sending out a warning prompt when the scores are smaller than a preset threshold value.
As shown in fig. 4, the present invention further provides a system for recording and reminding usage characteristics and asthenopia of an electronic product, which is applied to the method for recording and reminding usage characteristics and asthenopia of an electronic product disclosed in any of the above embodiments, and the method comprises:
the face image acquisition module 11 is used for acquiring a face image of a user in the using process of an electronic product by using a front camera of the electronic product;
the user usage recording module 12 is configured to compare the user face image with a user face image preset in the database, determine a user account corresponding to the current user, and record the usage time of the current user for the current electronic product;
the eye distance calculation module 13 is used for identifying eyeball characteristics from the facial image of the user and calculating the distance between the eyeballs and the screen of the electronic product;
the blink frequency calculation module 14 is used for identifying eye features from the face image of the user and calculating the blink frequency of the current user according to the blink change rule of the eye feature points;
the eye movement change tracking module 15 is used for identifying the iris of the eyeball from the facial image of the user and tracking and identifying to obtain eye movement change characteristics;
the eye fatigue scoring module 16 is used for comprehensively analyzing the service time, the eye distance, the blinking frequency and the eye movement change characteristics of the current user and calculating the eye fatigue scoring of the current user based on a preset algorithm model;
and the eye fatigue reminding module 17 is used for comparing the visual fatigue score of the current user with a preset reminding threshold value and sending out a warning reminding when the visual fatigue score is smaller than the reminding threshold value.
In the above embodiment, the facial image acquisition module adopts a camera, and the other modules adopt corresponding existing algorithms to realize the functions thereof, and the eyestrain reminding module adopts a loudspeaker to make sound reminding, or a display to make pop-up window message reminding. In addition, the visual fatigue score and the usage time record can be displayed through a display, so that the user can perceive and master the eye use condition of the user, and a targeted eye protection suggestion can be given.
In the use, only need open the application instrument among the electronic product, gather user's facial image in real time through the camera that the electronic product is from taking, backstage system automatic processing analysis, the length of time, concentration degree and the asthenopia emergence condition of accurate detection user electronic product use when exceeding the threshold value, send the warning through the speaker to this real-time accurate intervention of electronic product.
The present invention has been described in terms of the preferred embodiment, and it is not intended to be limited to the embodiment. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for recording and reminding use characteristics and visual fatigue of electronic products is characterized by comprising the following steps:
acquiring a user face image in the using process of an electronic product by utilizing a front camera of the electronic product;
comparing the user face image with a user face image preset in a database, determining a user account corresponding to the current user, and recording the service time of the current user for the current electronic product;
identifying eyeball characteristics from the facial image of the user, and calculating the distance between the eyeballs and the screen of the electronic product;
identifying eye features from the user face image, and calculating the blinking frequency of the current user according to the blinking change rule of the eye feature points;
identifying an eyeball iris from the user face image, and tracking and identifying to obtain eye movement change characteristics;
comprehensively analyzing the use time, the eye using distance, the blinking frequency and the eye movement change characteristics of the current user, and calculating to obtain the asthenopia score of the current user based on a preset algorithm model;
and comparing the visual fatigue score of the current user with a preset reminding threshold value, and sending out a warning reminding when the visual fatigue score is smaller than the reminding threshold value.
2. The method for recording and reminding use characteristics and asthenopia of electronic products according to claim 1, wherein the image pattern recognition technology is used for comparing the facial image of the user with the facial image of the user preset in the database, determining the user account corresponding to the facial image of the current user, and recording the use data of the facial image of the current user for the current electronic product by using the current user account.
3. The method as claimed in claim 1, wherein the image pattern recognition technique is used to identify the midpoint between two eyeballs in the facial image of the user, and the distance between the eyeballs and the screen of the electronic product is calculated according to a distance measurement algorithm, and the distance is used as the eye distance.
4. The method as claimed in claim 1, wherein the eye feature points are identified from the facial image of the user by image pattern recognition technology, and the blink change rule of the eye feature points is compared with a preset threshold to determine whether blinking occurs, and the blink frequency of the current user is recorded.
5. The method as claimed in claim 4, wherein facial marker detection is used to locate the eyes in the facial image of the user, a plurality of structural coordinates of the eye features are extracted, the eye aspect ratio is calculated according to the eye feature structural coordinates, and when the eye aspect ratio is smaller than a preset threshold value and then increases to an original range value within a preset time, it is determined that a single blinking process occurs in the current user, so as to record the blinking frequency of the current user.
6. The method as claimed in claim 1, wherein an image pattern recognition technique is used to identify the iris features of the eye from the facial image of the user, a square integral variance operator is used to position the iris features in the facial image of the user in the first frame, and the eye movement change features varying with time are obtained by tracking.
7. The method for recording and reminding use characteristics and asthenopia of electronic products according to claim 1, wherein the asthenopia score of the current user is calculated based on a preset algorithm model by combining with the ophthalmology professional knowledge according to the use time, eye distance, blinking frequency and eye movement change characteristics of the current user for the electronic products.
8. The method for recording and reminding use characteristics and visual fatigue of an electronic product according to claim 1, wherein if the visual fatigue score is lower than a preset reminding threshold, a warning reminder is sent out through the electronic product, and the warning reminder is a sound reminder and/or a pop-up window reminder.
9. The method for recording and reminding use characteristics and visual fatigue of electronic products according to claim 1, further comprising:
and uploading the eye use state data of the current user face image to a server based on the corresponding user account.
10. An electronic product use characteristic and visual fatigue recording and reminding system, which is characterized in that the electronic product use characteristic and visual fatigue recording and reminding method according to any claim 1 to 9 is applied, and comprises the following steps:
the face image acquisition module is used for acquiring a face image of a user in the using process of an electronic product by utilizing a front camera of the electronic product;
the user use recording module is used for comparing the user face image with a user face image preset in a database, determining a user account corresponding to the current user and recording the use time of the current user for the current electronic product;
the eye distance calculation module is used for identifying eyeball characteristics from the facial image of the user and calculating the distance between the eyeballs and the screen of the electronic product;
the blink frequency calculation module is used for identifying eye features from the face image of the user and calculating the blink frequency of the current user according to the blink change rule of the eye feature points;
the eye movement change tracking module is used for identifying the iris of the eyeball from the facial image of the user and tracking and identifying to obtain eye movement change characteristics;
the eye fatigue scoring module is used for comprehensively analyzing the service time, the eye distance, the blinking frequency and the eye movement change characteristics of the current user and calculating the eye fatigue scoring of the current user based on a preset algorithm model;
and the eye fatigue reminding module is used for comparing the visual fatigue score of the current user with a preset reminding threshold value and sending out a warning reminding when the visual fatigue score is smaller than the reminding threshold value.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116189888A (en) * | 2022-12-05 | 2023-05-30 | 北京工业大学 | Scoring method and scoring system for eye habit |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116189888A (en) * | 2022-12-05 | 2023-05-30 | 北京工业大学 | Scoring method and scoring system for eye habit |
| CN116189888B (en) * | 2022-12-05 | 2023-08-04 | 北京工业大学 | Scoring method and scoring system for eye habit |
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