CN108921069B - Infant interest and hobby recommendation method and system - Google Patents
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Abstract
The application discloses a method and a system for recommending interests and hobbies of infants. The method comprises the following steps: acquiring first image data of a child in a classroom; determining user behavior information of the first user according to the first image data; generating a first interest and hobby report according to the user behavior information; recommending the first interest and hobby report to parents of the infant. The system comprises: the device comprises an acquisition module, a determination module, a generation module and a first recommendation module. The method and the device solve the technical problem that the interests and hobbies of the children cannot be determined due to weak data analysis capability.
Description
Technical Field
The application relates to the technical field of communication, in particular to a method and a system for recommending interests and hobbies of infants.
Background
Kindergarten courses play a good role in the cultivation of children, but at present, kindergartens are only systematic courses, and the interests and hobbies of children cannot be found by parents and are intensively cultivated; aiming at the problem that the interests and hobbies of children cannot be determined due to weak data analysis capability in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The application mainly aims to provide a method and a system for recommending interests and hobbies of children, so as to solve the problem that the interests of children cannot be sufficiently mined due to the fact that appropriate activities cannot be recommended through data analysis.
In order to achieve the above object, according to one aspect of the present application, there is provided a method for recommending infant hobbies.
The method for recommending interest and hobbies of children according to the application comprises the following steps: acquiring first image data of a child in a classroom; determining user behavior information of the first user according to the first image data; generating a first interest and hobby report according to the user behavior information; recommending the first interest and hobby report to the parents of the young children. Parents of the infant
Further, the acquiring the first image data of the first user participating in the activity includes: acquiring first image data of an infant in a classroom by shooting through a camera; the server receives the first image data.
Further, determining the user behavior information of the first user according to the first image data includes: determining the body action behaviors of students attending classes according to the first image data; determining the voice behavior of students attending classes according to the first image data; and determining the comment behavior of the teacher giving lessons according to the first image data.
Further, generating a first interest and preference report according to the user behavior information includes: determining the concentration degree of students attending classes according to the user behavior information; determining the participation of students in class according to the user behavior information; determining the evaluation level of the teacher giving lessons to students in lessons according to the user behavior information; generating activity preference scores of students attending class according to the concentration degree, the participation degree and the evaluation level; aggregating the concentration, the engagement, the rating level, and the activity preference score into the first hobby report.
Further, the method also comprises the following steps: comparing a plurality of the first interest and hobby reports; giving a first activity training suggestion of the first user according to the comparison result; recommending the first activity training advice to parents of the toddler.
In order to achieve the above object, according to another aspect of the present application, there is provided a baby interest and taste recommendation system.
The baby interest and hobby recommendation system comprises: the acquisition module is used for acquiring first image data of the infant in a classroom; the determining module is used for determining the user behavior information of the first user according to the first image data; the generating module is used for generating a first interest and preference report according to the user behavior information; and the first recommending module is used for recommending the first interest and hobby report to parents of the infant.
Further, the obtaining module includes: the camera shooting unit is used for shooting and acquiring first image data of the infant in a classroom through a camera; and the receiving unit is used for receiving the first image data by the server.
Further, the determining module comprises: the first determining unit is used for determining the body action behaviors of students attending classes according to the first image data; the second determining unit is used for determining the voice behavior of the students in class according to the first image data; and the third determining unit is used for determining the comment behavior of the teacher giving lessons according to the first image data.
Further, the generating module includes: the concentration unit is used for determining the concentration of students attending classes according to the user behavior information; the participation degree unit is used for determining the participation degree of students in class according to the user behavior information; the grade unit is used for determining the evaluation grade of the teacher giving lessons to students in lessons according to the user behavior information; the scoring unit is used for generating activity preference scores of students attending class according to the concentration degree, the participation degree and the evaluation level; a summarization unit for summarizing said concentration, said engagement, said rating and said activity preference score into said first interest and preference report.
Further, the method also comprises the following steps: the comparison module is used for comparing the plurality of first interest and preference reports; the suggestion module is used for giving a first activity training suggestion of the first user according to the comparison result; a second recommendation module to recommend the first activity training recommendation to a parent of the infant.
In the embodiment of the application, the user behavior information is determined through the image data of the child in the classroom by adopting a mode of analyzing the image data, and the first interest and hobby report is generated according to the user behavior information and is sent to the guardian of the child, so that the aim of improving the data analysis capability is fulfilled, the technical effect of determining the interest and hobby of the child can be achieved, and the technical problem that the interest and hobby of the child cannot be determined due to weak data analysis capability is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic diagram of a method for recommending infant hobbies according to a first embodiment of the present application;
FIG. 2 is a schematic diagram of a method for recommending children's interests and hobbies according to a second embodiment of the present application;
FIG. 3 is a schematic diagram of a method for recommending children's interests and hobbies according to a third embodiment of the present application;
FIG. 4 is a schematic diagram of a method for recommending infant hobbies according to a fourth embodiment of the present application;
FIG. 5 is a schematic diagram of a method for recommending infant hobbies according to a fifth embodiment of the present application;
FIG. 6 is a schematic diagram of a system for recommending infant interests and preferences according to a first embodiment of the present application;
FIG. 7 is a schematic diagram of a system for recommending infant hobbies according to a second embodiment of the present application;
FIG. 8 is a schematic diagram of a system for recommending infant interests and preferences according to a third embodiment of the present application;
FIG. 9 is a schematic diagram of a system for recommending infant interests and hobbies according to a fourth embodiment of the present application;
FIG. 10 is a schematic diagram of a system for recommending infant interests according to a fifth embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the invention and its embodiments and are not intended to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meanings of these terms in the present invention can be understood by those skilled in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meanings of the above terms in the present invention can be understood by those of ordinary skill in the art according to specific situations.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
According to an embodiment of the present invention, there is provided a method for recommending infant hobbies, as shown in fig. 1, the method includes steps S102 to S108 as follows:
step S102, acquiring first image data of a first user when the first user participates in an activity;
the method comprises the steps that a cloud server or a local large computer obtains first image data of a first user when the first user participates in an activity;
the method comprises the steps that a cloud server or a local large computer obtains first image data through a wireless network;
the wireless network can be LPWAN, WiFi, GPRS/2G/3G/4G/5G, Bluetooth, ZigBee, RFID and the like; a plurality of wireless communication modes are provided to improve network adaptability.
Such as: the cloud server acquires first image data through LPWAN, WiFi or GPRS/2G/3G/4G/5G;
for another example: the local mainframe computer acquires first image data through LPWAN, WiFi, GPRS/2G/3G/4G/5G, Bluetooth, ZigBee or RFID.
A baby refers to a student who is just reading in a kindergarten; guarantee can be provided for effectively mining children's interests;
the children can finish the course learning in class;
learning courses include, but are not limited to, language, music, dance, english, numbers, playing piano, painting, handmade;
the first image data is detected by the detection device and transmitted to the cloud server or the local large computer through the wireless network;
the detection devices may be distributed at various locations within the classroom;
preferably, a detection device may be provided at regular intervals to ensure that the entire classroom is covered so that images of any one child in the area can be acquired.
And providing guarantee for the first image data to be processed to obtain the user behavior information.
According to an embodiment of the present invention, as shown in fig. 2, in step S102, the acquiring first image data of the first user participating in the activity preferably includes:
step S202, shooting through a camera to obtain first image data of an infant in a classroom;
step S204, the server receives the first image data.
The first image data are shot in real time through the cameras distributed in the classroom, so that the cloud server or the large computer can obtain the user behavior information of the first user through analysis of the image data.
Preferably, the camera can be an infrared camera, and the camera can enter a working state only when a person approaches to enter an infrared detection range; the consumption of the infrared camera can be reduced as much as possible, and the use cost is reduced.
Step S104, determining user behavior information of the first user according to the first image data;
identifying a first user in first image data from an image by using an image identification technology; tracking a user behavior track of a first user in the first image data by utilizing a behavior tracking technology; the user behavior track is the user behavior information of the first user.
In this embodiment, the first image data may include one or more first users, and when the first image data includes a plurality of first users, a plurality of user behavior tracks may be obtained by using the above-described technique; thereby providing guarantee for behavior analysis.
According to an embodiment of the present invention, as shown in fig. 3, in step S104, the determining the user behavior information of the first user according to the first image data preferably includes:
step S302, determining the body movement behaviors of students in class according to the first image data;
step S304, determining the voice behavior of students in class according to the first image data;
and S306, determining the comment behavior of the teacher giving lessons according to the first image data.
Identifying a first user through an image identification technology, tracking the body action behavior of the first user through an image tracking technology, and tracking the voice behavior of the first user through a voice tracking technology; the student who listens to the class can be identified by an image identification technology, the limb action behavior of the student who listens to the class is tracked by an image tracking technology, and the voice behavior of the student who listens to the class is tracked by a voice tracking technology; or the teacher can be identified by an image identification technology, the body action behavior of the teacher can be tracked by an image tracking technology, and the voice or action comment behavior of the teacher can be tracked by a sound tracking technology.
Can use the student action to give first place to, the mr action is for assisting and is analyzed to can listen to class student's action preference through the combination analysis of mr, student's action, and then promote the accuracy nature of analysis.
Preferably, weights are set for student behaviors and teacher behaviors, and behavior preferences of students attending classes are analyzed according to the set weights.
Step S106, generating a first interest and hobby report according to the user behavior information;
by analyzing different user behaviors of the first user, an activity analysis report can be obtained; the different user behaviors can be analyzed one by one to obtain analysis results corresponding to the different user behaviors; or analyzing one by one, setting different weights for different user behaviors, and finally calculating a total analysis result. And presenting each analysis result in a report form, wherein the analysis result can comprise the favorite activity of the first user, talent possessed in some aspects and the like. Therefore, guarantee is provided for mining the potential of children and enabling parents to know the most suitable and most interesting activities of the first user.
According to the embodiment of the present invention, preferably, as shown in fig. 4, in step S106, generating the first interest report according to the user behavior information includes:
step S402, determining the concentration degree of students in class according to the user behavior information;
step S404, determining the participation of students in class according to the user behavior information;
step S406, determining the evaluation level of the lecture teacher to the student attending the lecture according to the user behavior information;
step S408, generating activity preference scores of students in class according to the concentration degree, the participation degree and the evaluation level;
step S410, the concentration degree, the participation degree, the evaluation level and the activity preference score are summarized into the first interest and preference report.
The limb movement behaviors of the student include, but are not limited to, head posture during class taking, hand raising during class taking, sitting posture during class taking, running during sports, scoring ability during sports, and actions during school activities.
The voice behavior of the student includes, but is not limited to, answering questions in class, meeting the ears in class.
The teacher's comment behavior includes, but is not limited to, criticizing voice to students, praise voice to students, criticizing action to students, praise action to students.
The concentration degree and the participation degree can be judged by combining the limb actions of the students and the voice behaviors of the students;
such as: the head posture in class is low, no voice action exists, and the student can be judged to be low in class concentration;
for another example: the student can be judged to have higher concentration in class by leaping answering questions in class, and correct sitting posture and head posture in class;
for another example: the lesson discussion participates in the process, and the leap in speech can judge that the participation degree of the student activity is higher;
for another example: the sports is actively run and can score, and the student can be judged to have higher sports participation.
Evaluation by a teacher may also be a factor of judgment;
such as: when the head posture is low and no voice behavior exists in class, and the comments of the teacher are criticized, the student can be judged to be low in class concentration;
for another example: leap in answering questions in class, frequent hand raising actions in class and raised comments of teachers, the students can be judged to have high class concentration and participation;
setting the weight of the user behavior according to the importance degree, and calculating the preference score of the student attending class for the activity;
such as: and substituting the participation grade (or score), the concentration grade (or score) and the evaluation grade of the teacher into a weight formula, and calculating to obtain the preference score of the student for the activity.
Finally, the concentration degree, the participation degree, the evaluation level and the activity preference score are assembled into a report in a certain format and arrangement, so that the personnel can conveniently check the report.
And step S108, recommending the first interest and hobby report to parents of the infant.
Each first user corresponds to a parent of the infant, and can establish association by adopting unique identification of a mobile phone, a name and the like during registration; first interest taste report is sent to the relevance through wireless network on the parent's of infant's the smart machine, the parent of infant can know infant (child) like degree, concentration degree, participation degree, mr's evaluation level to the activity through looking over first interest taste report to not only can know child's learning condition, can also fully excavate child's hobby according to this report, select the activity that is most suitable, most interesting and give the class of giving up new year.
From the above description, it can be seen that the present invention achieves the following technical effects:
in the embodiment of the application, the user behavior information is determined through the image data of the child in the classroom by adopting a mode of analyzing the image data, and the first interest and hobby report is generated according to the user behavior information and is sent to the guardian of the child, so that the aim of improving the data analysis capability is fulfilled, the technical effect of determining the interest and hobby of the child can be achieved, and the technical problem that the interest and hobby of the child cannot be determined due to weak data analysis capability is solved.
According to the embodiment of the present invention, as shown in fig. 5, in step S106, it is preferable to further include:
step S502, comparing a plurality of first interest reports;
step S504, a first activity training suggestion of the first user is given according to a comparison result;
and step S506, recommending the first activity training suggestion to parents of the infant.
Comparing preference scores in a plurality of first interest and preference reports belonging to different activities attended by a first user with each other, determining that the highest score is recommended as a training-recommended activity, and recommending to parents of the young child by using a first activity training suggestion; therefore, the most suitable activities and the most favorite activities of the children can be selected for the parents to refer to, and guarantee is provided for further mining the potential and talent of the children.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present invention, there is also provided a system for implementing the method for recommending infant hobbies and interests, as shown in fig. 6, the apparatus including: the acquisition module is used for acquiring first image data of a first user during activity; the determining module is used for determining the user behavior information of the first user according to the first image data; the generating module is used for generating a first interest and hobby report according to the user behavior information; and the first recommending module is used for recommending the first interest and hobby report to parents of the infant.
The method comprises the steps that a cloud server or a local large computer obtains first image data when a first user participates in an activity;
the method comprises the steps that a cloud server or a local large computer obtains first image data through a wireless network;
the wireless network can be LPWAN, WiFi, GPRS/2G/3G/4G/5G, Bluetooth, ZigBee, RFID and the like; a plurality of wireless communication modes are provided to improve network adaptability.
Such as: the cloud server acquires first image data through LPWAN, WiFi or GPRS/2G/3G/4G/5G;
for another example: the local mainframe computer acquires first image data through LPWAN, WiFi, GPRS/2G/3G/4G/5G, Bluetooth, ZigBee or RFID.
A baby refers to a student who is just reading in a kindergarten; guarantee can be provided for effectively mining children's interests;
the children can finish the course learning in class;
learning courses include, but are not limited to, language, music, dance, english, numbers, playing piano, painting, handmade;
the first image data is detected by the detection device and transmitted to the cloud server or the local large computer through the wireless network;
the detection devices may be distributed at various locations within the classroom;
preferably, a detection device may be provided at regular intervals to ensure that the entire classroom is covered so that images of any one child in the area can be acquired.
And providing guarantee for the first image data to be processed to obtain the user behavior information.
Identifying a first user in first image data from an image by using an image identification technology; tracking a user behavior track of a first user in the first image data by utilizing a behavior tracking technology; the user behavior track is the user behavior information of the first user.
In this embodiment, the first image data may include one or more first users, and when the first image data includes a plurality of first users, a plurality of user behavior tracks may be obtained by using the above-described technique; thereby providing guarantee for behavior analysis.
By analyzing different user behaviors of the first user, an activity analysis report can be obtained; the different user behaviors can be analyzed one by one to obtain analysis results corresponding to the different user behaviors; or analyzing one by one, setting different weights for different user behaviors, and finally calculating a total analysis result. And presenting each analysis result in a report form, wherein the analysis result can comprise the favorite activity of the first user, talent possessed in some aspects and the like. Therefore, guarantee is provided for mining the potential of children and enabling parents to know the most suitable and most interesting activities of the first user.
Each first user corresponds to a parent of the infant, and can establish association by adopting unique identification of a mobile phone, a name and the like during registration; first interest taste report is sent to the relevance through wireless network on the parent's of infant's the smart machine, the parent of infant can know infant (child) like degree, concentration degree, participation degree, mr's evaluation level to the activity through looking over first interest taste report to not only can know child's learning condition, can also fully excavate child's hobby according to this report, select the activity that is most suitable, most interesting and give the class of giving up new year.
From the above description, it can be seen that the present invention achieves the following technical effects:
in the embodiment of the application, the user behavior information is determined through the image data of the child in the classroom by adopting a mode of analyzing the image data, and the first interest and hobby report is generated according to the user behavior information and is sent to the guardian of the child, so that the aim of improving the data analysis capability is fulfilled, the technical effect of determining the interest and hobby of the child can be achieved, and the technical problem that the interest and hobby of the child cannot be determined due to weak data analysis capability is solved.
According to the embodiment of the present invention, preferably, as shown in fig. 7, the obtaining module includes: the shooting unit is used for shooting and acquiring first image data of the infant in a classroom through the camera; and the receiving unit is used for receiving the first image data by the server. The first image data are shot in real time through the cameras distributed in the classroom, so that the cloud server or the large computer can obtain the user behavior information of the first user through analysis of the image data. Preferably, the camera can be an infrared camera, and the camera can enter a working state only when a person approaches to enter an infrared detection range; the consumption of the infrared camera can be reduced as much as possible, and the use cost is reduced.
According to the embodiment of the present invention, preferably, as shown in fig. 8, the determining module includes: the first determining unit is used for determining the body action behaviors of students attending classes according to the first image data; the second determining unit is used for determining the voice behavior of the students in class according to the first image data; and the third determining unit is used for determining the comment behavior of the teacher giving lessons according to the first image data. Identifying a first user through an image identification technology, tracking the body action behavior of the first user through an image tracking technology, and tracking the voice behavior of the first user through a voice tracking technology; the student who listens to the class can be identified by an image identification technology, the limb action behavior of the student who listens to the class is tracked by an image tracking technology, and the voice behavior of the student who listens to the class is tracked by a voice tracking technology; or the teacher can be identified by an image identification technology, the body action behavior of the teacher can be tracked by an image tracking technology, and the voice or action comment behavior of the teacher can be tracked by a sound tracking technology. Can use the student action to give first place to, the mr action is for assisting and is analyzed to can listen to class student's action preference through the combination analysis of mr, student's action, and then promote the accuracy nature of analysis. Preferably, weights are set for student behaviors and teacher behaviors, and behavior preferences of students attending classes are analyzed according to the set weights.
According to the embodiment of the present invention, preferably, as shown in fig. 9, the generating module includes: the concentration unit is used for determining the concentration of students attending classes according to the user behavior information; the participation degree unit is used for determining the participation degree of students in class according to the user behavior information; the grade unit is used for determining the evaluation grade of the teacher giving lessons to students in lessons according to the user behavior information; the scoring unit is used for generating activity preference scores of students attending classes according to the concentration degree, the participation degree and the evaluation level; a summarization unit for summarizing said concentration, said engagement, said rating and said activity preference score into said first interest and preference report.
The limb movement behaviors of the student include, but are not limited to, head posture during class taking, hand raising during class taking, sitting posture during class taking, running during sports, scoring ability during sports, and actions during school activities.
The voice behavior of the student includes, but is not limited to, answering questions during class time, and meeting the ears during class time.
The teacher's comment behavior includes, but is not limited to, criticizing voice to students, praise voice to students, criticizing action to students, praise action to students.
The concentration degree and the participation degree can be judged by combining the limb actions of the students and the voice behaviors of the students;
such as: the head posture in class is low, no voice action exists, and the student can be judged to be low in class concentration;
for another example: the student can be judged to have higher concentration in class by leaping answering questions in class, and correct sitting posture and head posture in class;
for another example: the lesson discussion participates in the process, and the leap in speech can judge that the participation degree of the student activity is higher;
for another example: the sports is actively run and can score, and the student can be judged to have higher sports participation.
Evaluation by a teacher may also be a factor of judgment;
such as: when the head posture is low and no voice behavior exists in class, and the comments of the teacher are criticized, the student can be judged to be low in class concentration;
for another example: leap in answering questions in class, frequent hand raising actions in class and raised comments of teachers, the students can be judged to have high class concentration and participation;
setting the weight of the user behavior according to the importance degree, and calculating the preference score of the student attending class for the activity;
such as: and substituting the participation grade (or score), the concentration grade (or score) and the evaluation grade of the teacher into a weight formula, and calculating to obtain the preference score of the student for the activity.
And finally, the concentration degree, the participation degree, the evaluation level and the activity preference score are assembled into a report in a certain format and arrangement, so that the personnel can conveniently check the report.
According to the embodiment of the present invention, as shown in fig. 10, it is preferable that: the comparison module is used for comparing the plurality of first interest and preference reports; the suggestion module is used for giving a first activity training suggestion of the first user according to the comparison result; a second recommendation module to recommend the first activity training recommendation to a parent of the infant. Comparing preference scores in a plurality of first interest and preference reports belonging to different activities attended by a first user with each other, determining that the highest score is recommended as a training-recommended activity, and recommending to parents of the young child by using a first activity training suggestion; therefore, the most suitable activities and the most favorite activities of the children can be selected for the parents to refer to, and guarantee is provided for further mining the potential and talent of the children.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (6)
1. A method for recommending interest and hobbies of children is characterized by comprising the following steps:
acquiring first image data of a child in a classroom;
determining user behavior information of a first user according to the first image data;
generating a first interest and hobby report according to the user behavior information; the method comprises the following steps: determining the concentration degree of students attending classes according to the user behavior information; determining the participation of students attending class according to the user behavior information; determining the evaluation level of the teacher giving lessons to students in lessons according to the user behavior information; generating activity preference scores of students attending class according to the concentration degree, the participation degree and the evaluation level; aggregating the concentration, the engagement, the rating level, and the activity preference score into the first hobby report;
recommending the first interest and hobby report to parents of the infant;
further comprising:
comparing a plurality of the first interest and hobby reports;
giving a first activity training suggestion of the first user according to the comparison result;
recommending the first activity training recommendation to a parent of the infant.
2. The method of claim 1, wherein the obtaining first image data of the first user while engaging in the activity comprises:
acquiring first image data of an infant in a classroom by shooting through a camera;
the server receives the first image data.
3. The method of claim 1, wherein determining user behavior information of the first user based on the first image data comprises:
determining the body action behaviors of students attending classes according to the first image data;
determining the voice behavior of students attending classes according to the first image data;
and determining the comment behavior of the teacher giving lessons according to the first image data.
4. An infant interest and preference recommendation system, comprising:
the acquisition module is used for acquiring first image data of the infant in a classroom;
the determining module is used for determining user behavior information of a first user according to the first image data;
the generating module is used for generating a first interest and hobby report according to the user behavior information; the generation module comprises: the concentration unit is used for determining the concentration of students attending classes according to the user behavior information; the participation degree unit is used for determining the participation degree of students in class according to the user behavior information; the grade unit is used for determining the evaluation grade of the teacher giving lessons to students in lessons according to the user behavior information; the scoring unit is used for generating activity preference scores of students attending class according to the concentration degree, the participation degree and the evaluation level; a summarization unit for summarizing the concentration, the engagement, the rating and the activity preference score into the first interest and preference report;
the first recommending module is used for recommending the first interest and hobby report to parents of the infant;
further comprising:
the comparison module is used for comparing the plurality of first interest and preference reports;
the suggestion module is used for giving a first activity training suggestion of the first user according to the comparison result;
a second recommendation module to recommend the first activity training recommendation to a parent of the infant.
5. The system of claim 4, wherein the obtaining module comprises:
the camera shooting unit is used for shooting and acquiring first image data of the infant in a classroom through a camera;
and the receiving unit is used for receiving the first image data by the server.
6. The system of claim 4, wherein the determining module comprises:
the first determining unit is used for determining the body action behaviors of students attending classes according to the first image data;
the second determining unit is used for determining the voice behavior of the students in class according to the first image data;
and the third determining unit is used for determining the comment behavior of the teacher giving lessons according to the first image data.
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| CN109785694A (en) * | 2018-12-05 | 2019-05-21 | 广西峰和云启文化投资有限公司 | A kind of Education Administration Information System combined by body-sensing technology with cloud data |
| CN112784091A (en) * | 2021-01-26 | 2021-05-11 | 上海商汤科技开发有限公司 | Interest analysis method and related device and equipment |
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