CN108921069A - Children's interest likes recommended method and system - Google Patents
Children's interest likes recommended method and system Download PDFInfo
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- CN108921069A CN108921069A CN201810653666.5A CN201810653666A CN108921069A CN 108921069 A CN108921069 A CN 108921069A CN 201810653666 A CN201810653666 A CN 201810653666A CN 108921069 A CN108921069 A CN 108921069A
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- G—PHYSICS
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- G06V40/20—Movements or behaviour, e.g. gesture recognition
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Abstract
This application discloses a kind of children's interest hobby recommended method and systems.This method includes：Obtain first image data of the child on classroom；The user behavior information of first user is determined according to first image data；The report of the first hobby is generated according to the user behavior information；First hobby report is recommended to the parent of the child.The system includes：Obtain module, determining module, generation module and the first recommending module.Present application addresses solve data analysis capabilities it is weak caused by can not determine the hobby of child the technical issues of technical problem.
Description
Technical field
This application involves fields of communication technology, like recommended method and system in particular to a kind of children's interest.
Background technique
Kindergarten curriculum the culture of child has been served it is good, but at present kindergarten be only system carry out class
The hobby of journey, child can not be found by parent, and that focuses on cultivate；For data analysis capabilities in the related technology
The problem of hobby of child can not be determined caused by weak, currently no effective solution has been proposed.
Summary of the invention
The main purpose of the application is to provide a kind of children's interest hobby recommended method and system, to solve not passing through
The problem of data analysis recommends child's interest caused by suitable activity that cannot sufficiently excavate.
To achieve the goals above, according to the one aspect of the application, a kind of children's interest hobby recommended method is provided.
Liking recommended method according to the children's interest of the application includes：Obtain first image data of the child on classroom；
The user behavior information of first user is determined according to first image data；The is generated according to the user behavior information
The report of one hobby；First hobby report is recommended to the parent of the child.The parent of the child
Further, the first image data when first user's activity of acquisition includes：It is shot and is obtained by camera
First image data of the child on classroom；Server receives first image data.
Further, the user behavior information for determining first user according to first image data includes：According to
First image data determines the limb action behavior for the student that listens to the teacher；Listen to the teacher student's according to first image data determination
Speech act；The comment behavior of teacher is determined according to first image data.
Further, generating the report of the first hobby according to the user behavior information includes：According to user's row
The focus for the student that listens to the teacher is determined for information；The participation for the student that listens to the teacher is determined according to the user behavior information；According to described
User behavior information determines teacher to the opinion rating for the student that listens to the teacher；According to the focus, the participation and institute
State the activity hobby scoring that opinion rating generates the student that listens to the teacher；By the focus, the participation, the opinion rating and institute
It states activity hobby scoring and is aggregated into the first hobby report.
Further, further include：Compare multiple first hobby reports；Described first is provided according to comparison result
The movable training suggestions of the first of user；Described first movable training suggestions are recommended to the parent of the child.
To achieve the goals above, according to the another aspect of the application, a kind of children's interest hobby recommender system is provided.
Liking recommender system according to the children's interest of the application includes：Module is obtained, for obtaining child on classroom
First image data；Determining module, for determining the user behavior information of first user according to first image data；
Generation module, for generating the report of the first hobby according to the user behavior information；First recommending module, being used for will be described
First hobby reports the parent for recommending the child.
Further, the acquisition module includes：Camera unit obtains child in classroom for shooting by camera
The first image data；Receiving unit receives first image data for server.
Further, the determining module includes：First determination unit, for being listened according to first image data determination
The limb action behavior of class student；Second determination unit, for determining the voice for the student that listens to the teacher according to first image data
Behavior；Third determination unit, for determining the comment behavior of teacher according to first image data.
Further, the generation module includes：Focus unit, for being listened to the teacher according to user behavior information determination
The focus of student；Participation unit, for determining the participation for the student that listens to the teacher according to the user behavior information；Grade list
Member, for determining teacher to the opinion rating for the student that listens to the teacher according to the user behavior information；Score unit, is used for basis
The focus, the participation and the opinion rating generate the activity hobby scoring for the student that listens to the teacher；Collection unit is used for
The focus, the participation, the opinion rating and the activity hobby scoring are aggregated into first hobby
Report.
Further, further include：Comparison module, for comparing multiple first hobby reports；Suggestion module is used
In the first movable training suggestions for providing first user according to comparison result；Second recommending module is used for described first
Movable training suggestions recommend the parent of the child.
In the embodiment of the present application, true by image data of the child on classroom by the way of analyzing image data
Determine user behavior information, and the guardian that the report of the first hobby is sent to child will be generated according to user behavior information, reaches
Arrived improve data analysis capabilities purpose, so as to realize determining child hobby technical effect, and then solve
The technical issues of can not determining the hobby of child caused by data analysis capabilities are weak.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present application, so that the application's is other
Feature, objects and advantages become more apparent upon.The illustrative examples attached drawing and its explanation of the application is for explaining the application, not
Constitute the improper restriction to the application.In the accompanying drawings：
Fig. 1 likes recommended method schematic diagram according to the children's interest of the application first embodiment；
Fig. 2 likes recommended method schematic diagram according to the children's interest of the application second embodiment；
Fig. 3 likes recommended method schematic diagram according to the children's interest of the application 3rd embodiment；
Fig. 4 likes recommended method schematic diagram according to the children's interest of the application fourth embodiment；
Fig. 5 likes recommended method schematic diagram according to the children's interest of the 5th embodiment of the application；
Fig. 6 likes recommender system schematic diagram according to the children's interest of the application first embodiment；
Fig. 7 likes recommender system schematic diagram according to the children's interest of the application second embodiment；
Fig. 8 likes recommender system schematic diagram according to the children's interest of the application 3rd embodiment；
Fig. 9 likes recommender system schematic diagram according to the children's interest of the application fourth embodiment；
Figure 10 likes recommender system schematic diagram according to the children's interest of the 5th embodiment of the application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
The embodiment of the application a part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's every other embodiment obtained without making creative work, all should belong to the model of the application protection
It encloses.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein.In addition, term " includes " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing a series of steps or units
Process, method, system, product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include without clear
Other step or units listing to Chu or intrinsic for these process, methods, product or equipment.
In this application, term " on ", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outside",
" in ", "vertical", "horizontal", " transverse direction ", the orientation or positional relationship of the instructions such as " longitudinal direction " be orientation based on the figure or
Positional relationship.These terms are not intended to limit indicated dress primarily to better describe the present invention and embodiment
Set, element or component must have particular orientation, or constructed and operated with particular orientation.
Also, above-mentioned part term is other than it can be used to indicate that orientation or positional relationship, it is also possible to for indicating it
His meaning, such as term " on " also are likely used for indicating certain relations of dependence or connection relationship in some cases.For ability
For the those of ordinary skill of domain, the concrete meaning of these terms in the present invention can be understood as the case may be.
In addition, term " installation ", " setting ", " being equipped with ", " connection ", " connected ", " socket " shall be understood in a broad sense.For example,
It may be a fixed connection, be detachably connected or monolithic construction；It can be mechanical connection, or electrical connection；It can be direct phase
It even, or indirectly connected through an intermediary, or is two connections internal between device, element or component.
For those of ordinary skills, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
According to embodiments of the present invention, a kind of children's interest hobby recommended method is provided, as shown in Figure 1, this method includes
Following step S102 to step S108：
Step S102, the first image data when first user's activity is obtained；
It can be the first image data when cloud server or local first user's activity of mainframe computer acquisition；
Cloud server or local mainframe computer pass through wireless network the first image data of acquisition；
Wireless network can be LPWAN, WiFi, GPRS/2G/3G/4G/5G, bluetooth, ZigBee, RFID etc.；It provides more
Kind communication, to improve network adaptability.
Such as：Cloud server obtains the first image data by LPWAN, WiFi or GPRS/2G/3G/4G/5G；
For another example：Local mainframe computer by LPWAN, WiFi, GPRS/2G/3G/4G/5G, bluetooth, ZigBee or
RFID obtains the first image data.
Child refers to the student for attending kindergarten；It can be provided safeguard effectively to excavate interest of children；
Child can complete course learning on classroom；
The course of study includes but is not limited to that Chinese language, dancing, English, number, plays the piano, paints, is hand-made at music；
First image data detects to obtain by detection device, then passes through wireless network transmissions to cloud server or local
On mainframe computer；
Detection device can be distributed in classroom on each position；
Preferably, a detection device can be set at a certain distance, obtained with guaranteeing to cover entire classroom
Take the image of any one children in above-mentioned zone.
It handles to obtain user behavior information for the first image data and provide safeguard.
According to embodiments of the present invention, it is preferred that as shown in Fig. 2, in step s 102, when obtaining first user's activity
The first image data include：
Step S202, the first image data for obtaining child on classroom is shot by camera；
Step S204, server receives first image data.
By teaching the first image data of camera captured in real-time of indoor distribution, thus cloud server or mainframe computer
The user behavior information of the first user can be obtained by the analysis to above-mentioned image data.
Preferably, camera only can just enter work when someone is close enters infrared detection range with infrared camera
Make state；The consumption of infrared camera can be reduced as far as possible, reduce use cost.
Step S104, the user behavior information of first user is determined according to first image data；
Using image recognition technology from identifying the first user in the first image data in image；And utilize behavior tracking
The user behavior track of first user in the first image data of Technical Follow-Up；User behavior track is user's row of the first user
For information.
In the present embodiment, one or more first users be may include in the first image data, when including multiple first
When user, using the available multiple user behavior tracks of above-mentioned technology；To be provided safeguard for behavioural analysis.
According to embodiments of the present invention, it is preferred that as shown in figure 3, in step S104, it is true according to first image data
The user behavior information of first user includes calmly：
Step S302, the limb action behavior for the student that listens to the teacher is determined according to first image data；
Step S304, the speech act for the student that listens to the teacher is determined according to first image data；
Step S306, the comment behavior of teacher is determined according to first image data.
The first user is identified by image recognition technology, and the limb action of the first user is tracked by image trace technology
Behavior tracks the speech act of the first user by sound tracking technique；It can be and identified and listen to the teacher by image recognition technology
Student tracks the limb action behavior for the student that listens to the teacher by image trace technology, tracks the student that listens to the teacher by sound tracking technique
Speech act；It is also possible to identify teacher by image recognition technology, is given lessons by image trace technology tracking old
The limb action behavior of teacher tracks voice or the movement comment behavior of teacher by sound tracking technique.
It can be analyzed supplemented by teacher's behavior based on students ' behavior, so as to pass through the behavior of teacher, student
Binding analysis is listened to the teacher the Behavior preference of student, and then improves the accuracy of analysis.
Preferably, be students ' behavior, weight is arranged in teacher's behavior, listen to the teacher the behavior of student further according to the weight analysis of setting
Preference.
Step S106, the report of the first hobby is generated according to the user behavior information；
By the analysis for the different user behavior having to the first user, available activity analysis report；It can be to not
With the analysis one by one of user behavior, the corresponding analysis result of different user behavior is obtained；It is also possible to first analyze one by one, then to not
Different weights is set with user behavior, finally calculates total analysis result.By above-mentioned each analysis result with report
Form is presented, and analysis result may include the favorite activity of the first user, the talent having in some aspects etc..To be real
It now excavates children's potentiality and parent will be seen that the first user is most suitable for, most interested activity provides safeguard.
According to embodiments of the present invention, it is preferred that as shown in figure 4, in step s 106, it is raw according to the user behavior information
Include at the report of the first hobby：
Step S402, the focus for the student that listens to the teacher is determined according to the user behavior information；
Step S404, the participation for the student that listens to the teacher is determined according to the user behavior information；
Step S406, determine teacher to the opinion rating for the student that listens to the teacher according to the user behavior information；
Step S408, the activity for the student that listens to the teacher is generated according to the focus, the participation and the opinion rating
Hobby scoring；
Step S410, the focus, the participation, the opinion rating and the activity hobby scoring are aggregated into
The first hobby report.
The limb action behavior of student includes but is not limited to, and the head pose of upper class hour, upper class hour raise one's hand to act, attend class
When sitting posture, running in sports, the score ability in sports, the movement in activity after class.
The speech act of student included but is not limited to that upper class hour answers a question, upper class hour whispers to each other.
The comment behavior of teacher includes but is not limited to, to the criticism voice of student, to the praise voice of student, to student's
Criticism movement acts the praise of student.
It can combine by student limb action, student speech act and judge focus, participation；
Such as：The head pose of upper class hour is to bow, without any speech act, it can be determined that the student attends class focus
It is lower；
For another example：Answered a question upper class hour enthusiastically, the sitting posture of upper class hour, head pose it is correct, it can be determined that on the student
Class focus is higher；
For another example：Break discussion participates and makes a speech enthusiastically, it can be determined that the student's activities participation is higher；
For another example：Sports are run actively and being capable of score, it can be determined that the students ' physical participation is higher.
It can also be by the evaluation of teacher as the factor judged；
Such as：The head pose of upper class hour is to bow, without any speech act, and the comment of teacher is to criticize, then may be used
To judge that student focus of attending class is very low；
For another example：Upper class hour answered a question enthusiastically, upper class hour raised one's hand to act frequently, and the comment of teacher is to praise, then
It may determine that attend class focus, participation of the student is very high；
Weight is arranged according to significance level in above-mentioned user behavior again, the student that listens to the teacher can be calculated for the movable happiness
Favorable comment point；
Such as：Participation grade (or scoring), focus grade (or scoring), the opinion rating of teacher are substituted into weight public affairs
Formula scores for the movable hobby by student is calculated.
Focus, participation, opinion rating and the scoring of activity hobby are finally aggregated into one with certain format, arrangement
Report, convenient for checking for personnel.
Step S108, first hobby report is recommended to the parent of the child.
The parent of the corresponding child of each first user, can in registration using mobile phone, name etc. only
Association is established in one identification；The intelligence for the parent that the report of first hobby is sent to the associated child by wireless network is set
Standby upper, the parent of the child is by checking the report of the first hobby it is recognized that child (child) is to movable hobby journey
Degree, focus, participation, the opinion rating of teacher, thus not only will be seen that the study situation of child, it can also be according to the report
The abundant hobby for excavating child is accused, continuation class is reported in the activity that selection is most suitable, most interested.
It can be seen from the above description that the present invention realizes following technical effect：
In the embodiment of the present application, true by image data of the child on classroom by the way of analyzing image data
Determine user behavior information, and the guardian that the report of the first hobby is sent to child will be generated according to user behavior information, reaches
Arrived improve data analysis capabilities purpose, so as to realize determining child hobby technical effect, and then solve
The technical issues of can not determining the hobby of child caused by data analysis capabilities are weak.
According to embodiments of the present invention, it is preferred that as shown in figure 5, in step s 106, further including：
Step S502, multiple first hobby reports are compared；
Step S504, the first movable training suggestions of first user are provided according to comparison result；
Step S506, the described first movable training suggestions are recommended to the parent of the child.
Hobby in the movable multiple first hobby reports of the difference for the participation for belonging to first user is commented
Split-phase mutually compares, and will score the highest activity for being confirmed as recommending training, and with the first movable training suggestions to the child's
Parent recommends；It is referred to so as to pick out most suitable, the favorite activity of child for parent, it is latent further to excavate child
Power, talent provide guarantee.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
According to embodiments of the present invention, a kind of system that recommended method is liked for implementing above-mentioned children's interest is additionally provided,
As shown in fig. 6, the device includes：Module is obtained, for obtaining the first image data when first user's activity；Determine mould
Block, for determining the user behavior information of first user according to first image data；Generation module, for according to institute
It states user behavior information and generates the report of the first hobby；First recommending module, for pushing away first hobby report
It recommends to the parent of the child.
It can be the first image data when cloud server or local first user's activity of mainframe computer acquisition；
Cloud server or local mainframe computer pass through wireless network the first image data of acquisition；
Wireless network can be LPWAN, WiFi, GPRS/2G/3G/4G/5G, bluetooth, ZigBee, RFID etc.；It provides more
Kind communication, to improve network adaptability.
Such as：Cloud server obtains the first image data by LPWAN, WiFi or GPRS/2G/3G/4G/5G；
For another example：Local mainframe computer by LPWAN, WiFi, GPRS/2G/3G/4G/5G, bluetooth, ZigBee or
RFID obtains the first image data.
Child refers to the student for attending kindergarten；It can be provided safeguard effectively to excavate interest of children；
Child can complete course learning on classroom；
The course of study includes but is not limited to that Chinese language, dancing, English, number, plays the piano, paints, is hand-made at music；
First image data detects to obtain by detection device, then passes through wireless network transmissions to cloud server or local
On mainframe computer；
Detection device can be distributed in classroom on each position；
Preferably, a detection device can be set at a certain distance, obtained with guaranteeing to cover entire classroom
Take the image of any one children in above-mentioned zone.
It handles to obtain user behavior information for the first image data and provide safeguard.
Using image recognition technology from identifying the first user in the first image data in image；And utilize behavior tracking
The user behavior track of first user in the first image data of Technical Follow-Up；User behavior track is user's row of the first user
For information.
In the present embodiment, one or more first users be may include in the first image data, when including multiple first
When user, using the available multiple user behavior tracks of above-mentioned technology；To be provided safeguard for behavioural analysis.
By the analysis for the different user behavior having to the first user, available activity analysis report；It can be to not
With the analysis one by one of user behavior, the corresponding analysis result of different user behavior is obtained；It is also possible to first analyze one by one, then to not
Different weights is set with user behavior, finally calculates total analysis result.By above-mentioned each analysis result with report
Form is presented, and analysis result may include the favorite activity of the first user, the talent having in some aspects etc..To be real
It now excavates children's potentiality and parent will be seen that the first user is most suitable for, most interested activity provides safeguard.
The parent of the corresponding child of each first user, can in registration using mobile phone, name etc. only
Association is established in one identification；The intelligence for the parent that the report of first hobby is sent to the associated child by wireless network is set
Standby upper, the parent of the child is by checking the report of the first hobby it is recognized that child (child) is to movable hobby journey
Degree, focus, participation, the opinion rating of teacher, thus not only will be seen that the study situation of child, it can also be according to the report
The abundant hobby for excavating child is accused, continuation class is reported in the activity that selection is most suitable, most interested.
It can be seen from the above description that the present invention realizes following technical effect：
In the embodiment of the present application, true by image data of the child on classroom by the way of analyzing image data
Determine user behavior information, and the guardian that the report of the first hobby is sent to child will be generated according to user behavior information, reaches
Arrived improve data analysis capabilities purpose, so as to realize determining child hobby technical effect, and then solve
The technical issues of can not determining the hobby of child caused by data analysis capabilities are weak.
According to embodiments of the present invention, it is preferred that as shown in fig. 7, the acquisition module includes：Shooting unit, for passing through
Camera shooting obtains first image data of the child on classroom；Receiving unit receives first image for server
Data.By teaching the first image data of camera captured in real-time of indoor distribution, so that cloud server or mainframe computer can
To obtain the user behavior information of the first user by the analysis to above-mentioned image data.Preferably, camera infrared can be taken the photograph
As head, only it can just enter working condition when someone is close enters infrared detection range；Infrared photography can be reduced as far as possible
The consumption of head reduces use cost.
According to embodiments of the present invention, it is preferred that as shown in figure 8, the determining module includes：First determination unit, is used for
The limb action behavior for the student that listens to the teacher is determined according to first image data；Second determination unit, for according to described first
Image data determines the speech act for the student that listens to the teacher；Third determination unit, for being given lessons according to first image data determination
The comment behavior of teacher.The first user is identified by image recognition technology, tracks the first user's by image trace technology
Limb action behavior tracks the speech act of the first user by sound tracking technique；It can be and known by image recognition technology
Chu not listen to the teacher student, and the limb action behavior for the student that listens to the teacher is tracked by image trace technology, is tracked by sound tracking technique
It listens to the teacher the speech act of student；Be also possible to identify teacher by image recognition technology, by image trace technology with
The limb action behavior of track teacher tracks voice or the movement comment behavior of teacher by sound tracking technique.It can
To be analyzed supplemented by teacher's behavior based on students ' behavior, so as to be listened by the binding analysis of the behavior of teacher, student
The Behavior preference of class student, and then improve the accuracy of analysis.It preferably, is students ' behavior, teacher's behavior setting weight, then
It is listened to the teacher the Behavior preference of student according to the weight analysis of setting.
According to embodiments of the present invention, it is preferred that as shown in figure 9, the generation module includes：Focus unit is used for root
The focus for the student that listens to the teacher is determined according to the user behavior information；Participation unit, for true according to the user behavior information
Surely it listens to the teacher the participation of student；Level cells, for determining teacher to listening to the teacher student's according to the user behavior information
Opinion rating；Score unit, for listening to the teacher student's according to the generation of the focus, the participation and the opinion rating
Activity hobby scoring；Collection unit, for liking the focus, the participation, the opinion rating and the activity
Scoring is aggregated into the first hobby report.
The limb action behavior of student includes but is not limited to, and the head pose of upper class hour, upper class hour raise one's hand to act, attend class
When sitting posture, running in sports, the score ability in sports, the movement in activity after class.
The speech act of student included but is not limited to that upper class hour answers a question, upper class hour whispers to each other.
The comment behavior of teacher includes but is not limited to, to the criticism voice of student, to the praise voice of student, to student's
Criticism movement acts the praise of student.
It can combine by student limb action, student speech act and judge focus, participation；
Such as：The head pose of upper class hour is to bow, without any speech act, it can be determined that the student attends class focus
It is lower；
For another example：Answered a question upper class hour enthusiastically, the sitting posture of upper class hour, head pose it is correct, it can be determined that on the student
Class focus is higher；
For another example：Break discussion participates and makes a speech enthusiastically, it can be determined that the student's activities participation is higher；
For another example：Sports are run actively and being capable of score, it can be determined that the students ' physical participation is higher.
It can also be by the evaluation of teacher as the factor judged；
Such as：The head pose of upper class hour is to bow, without any speech act, and the comment of teacher is to criticize, then may be used
To judge that student focus of attending class is very low；
For another example：Upper class hour answered a question enthusiastically, upper class hour raised one's hand to act frequently, and the comment of teacher is to praise, then
It may determine that attend class focus, participation of the student is very high；
Weight is arranged according to significance level in above-mentioned user behavior again, the student that listens to the teacher can be calculated for the movable happiness
Favorable comment point；
Such as：Participation grade (or scoring), focus grade (or scoring), the opinion rating of teacher are substituted into weight public affairs
Formula scores for the movable hobby by student is calculated.
Focus, participation, opinion rating and the scoring of activity hobby are finally aggregated into one with certain format, arrangement
Report, convenient for checking for personnel.
According to embodiments of the present invention, it is preferred that as shown in Figure 10, further include：Comparison module, for comparing multiple described
The report of one hobby；Suggestion module, for providing the first movable training suggestions of first user according to comparison result；The
Two recommending modules, for the described first movable training suggestions to be recommended to the parent of the child.One first use will be belonged to
Hobby scoring in the movable multiple first hobby reports of the difference of the participation at family mutually compares, and will score highest confirmation
To recommend the activity trained, and recommended with the first movable training suggestions to the parent of the child；It is most suitable so as to pick out
Conjunction, the favorite activity of child are referred to for parent, and further to excavate child's potentiality, talent provides guarantee.
Obviously, those skilled in the art should be understood that each module of the above invention or each step can be with general
Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
Be performed by computing device in the storage device, perhaps they are fabricated to each integrated circuit modules or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific
Hardware and software combines.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
1. a kind of children's interest likes recommended method, which is characterized in that including：
Obtain first image data of the child on classroom；
The user behavior information of first user is determined according to first image data；
The report of the first hobby is generated according to the user behavior information；
First hobby report is recommended to the parent of the child.
2. children's interest according to claim 1 likes recommended method, which is characterized in that obtain first user's activity
When the first image data include：
The first image data for obtaining child on classroom is shot by camera；
Server receives first image data.
3. children's interest according to claim 1 likes recommended method, which is characterized in that according to first image data
The user behavior information for determining first user includes：
The limb action behavior for the student that listens to the teacher is determined according to first image data；
The speech act for the student that listens to the teacher is determined according to first image data；
The comment behavior of teacher is determined according to first image data.
4. children's interest according to claim 1 likes recommended method, which is characterized in that according to the user behavior information
Generating the report of the first hobby includes：
The focus for the student that listens to the teacher is determined according to the user behavior information；
The participation for the student that listens to the teacher is determined according to the user behavior information；
Determine teacher to the opinion rating for the student that listens to the teacher according to the user behavior information；
The activity hobby scoring for the student that listens to the teacher is generated according to the focus, the participation and the opinion rating；
The focus, the participation, the opinion rating and the activity hobby scoring are aggregated into first interest
Hobby report.
5. children's interest according to any one of claim 1 to 4 likes recommended method, which is characterized in that further include：
Compare multiple first hobby reports；
The first movable training suggestions of first user are provided according to comparison result；
Described first movable training suggestions are recommended to the parent of the child.
6. a kind of children's interest likes recommender system, which is characterized in that including：
Module is obtained, for obtaining first image data of the child on classroom；
Determining module, for determining the user behavior information of first user according to first image data；
Generation module, for generating the report of the first hobby according to the user behavior information；
First recommending module, for first hobby report to be recommended to the parent of the child.
7. children's interest according to claim 6 likes recommender system, which is characterized in that the acquisition module includes：
Camera unit, for shooting the first image data for obtaining child on classroom by camera；
Receiving unit receives first image data for server.
8. children's interest according to claim 6 likes recommender system, which is characterized in that the determining module includes：
First determination unit, for determining the limb action behavior for the student that listens to the teacher according to first image data；
Second determination unit, for determining the speech act for the student that listens to the teacher according to first image data；
Third determination unit, for determining the comment behavior of teacher according to first image data.
9. children's interest according to claim 6 likes recommender system, which is characterized in that the generation module includes：
Focus unit, for determining the focus for the student that listens to the teacher according to the user behavior information；
Participation unit, for determining the participation for the student that listens to the teacher according to the user behavior information；
Level cells, for determining teacher to the opinion rating for the student that listens to the teacher according to the user behavior information；
Score unit, for generating the activity for the student that listens to the teacher according to the focus, the participation and the opinion rating
Hobby scoring；
Collection unit, for the focus, the participation, the opinion rating and the activity hobby scoring to be aggregated into
The first hobby report.
10. children's interest according to any one of claims 6 to 9 likes recommender system, which is characterized in that further include：
Comparison module, for comparing multiple first hobby reports；
Suggestion module, for providing the first movable training suggestions of first user according to comparison result；
Second recommending module, for the described first movable training suggestions to be recommended to the parent of the child.
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| CN108921069B (en) | 2022-05-06 |
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