[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN108960101B - Data processing method and system - Google Patents

Data processing method and system Download PDF

Info

Publication number
CN108960101B
CN108960101B CN201810653812.4A CN201810653812A CN108960101B CN 108960101 B CN108960101 B CN 108960101B CN 201810653812 A CN201810653812 A CN 201810653812A CN 108960101 B CN108960101 B CN 108960101B
Authority
CN
China
Prior art keywords
user
server
data
camera
abnormal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201810653812.4A
Other languages
Chinese (zh)
Other versions
CN108960101A (en
Inventor
张小勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Weoil Technology Service Co ltd
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201810653812.4A priority Critical patent/CN108960101B/en
Publication of CN108960101A publication Critical patent/CN108960101A/en
Application granted granted Critical
Publication of CN108960101B publication Critical patent/CN108960101B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Strategic Management (AREA)
  • Educational Technology (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Social Psychology (AREA)
  • Psychiatry (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • Studio Devices (AREA)

Abstract

The application discloses a data processing method and a system, wherein the method comprises the following steps: the camera sends the collected video data of the first user to the server; the server analyzes the received video data of the first user to obtain behavior data of the first user; the server compares the behavior data of the first user with the abnormal database to obtain a comparison result; and the server sends the comparison result to the user equipment of the second user. By the method, whether the child has abnormal conditions such as hyperactivity, self-closure, inattention and the like can be accurately found, and timely feedback can be given to parents.

Description

Data processing method and system
Technical Field
The present application relates to the field of communications technologies, and in particular, to a data processing method and system.
Background
Hyperactivity is a chronic process, and symptoms persist for many years, even in life. About 70% of the infant symptoms persist to puberty, and 30% of the infant symptoms persist for life. Furthermore, neglect of childhood can cause the adult to be confused in work performance, daily life or interpersonal interaction, so as to cause self-confidence, frustration, depression, and anxiety. In addition, the risk of secondary or comorbid destructive behavior disorders and emotional disorders is also increased, and the risk of substance dependence in adulthood, antisocial personality disorder and illegal crime may also be increased. If the infant diagnosed with the infantile hyperkinetic syndrome is not treated as early as possible, antisocial behaviors such as personality disorder and even illegal crime may appear in the adult stage, and the wide and negative influence is generated on the aspects of the academic industry, the occupation, the social life and the like of a patient.
The diseases such as hyperkinetic syndrome, autism and attention deficit are usually chronic in children, and are not easy to find.
Disclosure of Invention
The main objective of the present application is to provide a data processing method and system, so as to accurately find out that a child may have situations of hyperactivity, self-closure, inattention, etc., and timely feed back to parents.
In order to achieve the above object, the present application provides a data processing method, where the method is applied in a system including a camera and a server, and the data processing method includes:
the camera sends the collected video data of the first user to the server;
the server analyzes the received video data of the first user to obtain behavior data of the first user;
the server compares the behavior data of the first user with the abnormal database to obtain a comparison result;
and the server sends the comparison result to the user equipment of the second user.
Optionally, the comparing, by the server, the behavior data of the first user with the abnormal database to obtain a comparison result, where the comparing includes:
the server side judges whether the behavior data of the first user is matched with the abnormal judgment data in the abnormal database;
When the behavior data of the first user is matched with the abnormality judgment data in the abnormality database, the server obtains an abnormality name corresponding to the behavior data of the first user according to the abnormality judgment data;
and the server generates a comparison result according to the abnormal name.
Optionally, the data processing method further includes:
the camera sends the collected video data of a preset scene to the server, wherein the preset scene comprises a plurality of third users;
the server analyzes the received video data of the preset scene and determines whether a first user which is not synchronous with the behavior data of a third user exists in the preset scene or not;
when a first user which is not synchronous with behavior data of a third user exists in a preset scene, the server sends an instruction for instructing the camera to track and shoot the first user to the camera;
the camera tracks and shoots the first user according to the received instruction, and sends the collected video data of the first user to the server.
Optionally, the camera performs tracking shooting on the first user according to the received instruction, including:
and the camera carries out tracking shooting on the first user according to the received instruction and preset time length.
Optionally, the behavioural data comprises at least one of a number of times the user is active, a duration of time the user is in a state of silence and a number of times the user speaks.
In order to achieve the above object, the present application further provides a data processing system, where the system includes a camera and a server;
the camera is used for sending the collected video data of the first user to the server;
the server is used for analyzing the received video data of the first user and acquiring behavior data of the first user;
the server is used for comparing the behavior data of the first user with the abnormal database to obtain a comparison result;
and the server is used for sending the comparison result to the user equipment of the second user.
Optionally, the server is configured to compare the behavior data of the first user with the abnormal database to obtain a comparison result, and specifically, the comparison result includes:
the server is used for judging whether the behavior data of the first user is matched with the abnormal judgment data in the abnormal database;
when the behavior data of the first user is matched with the abnormality judgment data in the abnormality database, the server is used for obtaining an abnormality name corresponding to the behavior data of the first user according to the abnormality judgment data;
And the server is used for generating a comparison result according to the abnormal name.
Alternatively,
the camera is used for sending the collected video data of the preset scene to the server, wherein the preset scene comprises a plurality of third users;
the server is used for analyzing the received video data of the preset scene and determining whether a first user which is not synchronous with the behavior data of a third user exists in the preset scene;
when a first user which is not synchronous with behavior data of a third user exists in a preset scene, the server is used for sending an instruction for instructing the camera to track and shoot the first user to the camera;
and the camera is used for tracking and shooting the first user according to the received instruction and sending the collected video data of the first user to the server.
Optionally, the camera is configured to perform tracking shooting on the first user according to the received instruction, specifically:
and the camera is used for tracking and shooting the first user according to the received instruction and the preset time length.
Optionally, the behavioural data comprises at least one of a number of times the user is active, a duration of time the user is in a quiet state and a number of utterances by the user.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the application, the camera sends the collected video data of the first user to the server; the server analyzes the received video data of the first user to obtain behavior data of the first user; the server compares the behavior data of the first user with the abnormal database to obtain a comparison result; the server sends the comparison result to the user equipment of the second user; for example, when the first user is a child who learns in a kindergarten and the second user is a parent or a teacher of the child, the camera acquires video data of the child, analyzes the video data of the child through the server to obtain behavior data of the child, the server compares the behavior data of the child with an abnormal database according to the behavior data of the child, and sends a comparison result to user equipment of the parent or the teacher of the child to remind the parent or the teacher of whether the child has abnormal behavior; therefore, by the method, whether the child has abnormal conditions such as hyperactivity, self-closure, inattention and the like can be accurately found, and timely feedback can be given to parents.
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 flow chart of a data processing method provided in the present application;
fig. 2 is a schematic flowchart of a step S103 provided in the present application;
FIG. 3 is a schematic flow chart of another data processing method provided herein;
FIG. 4 is a schematic flow chart of another data processing method provided herein;
fig. 5 is a schematic structural diagram of a data processing system according to 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, which can be derived by a person skilled in the art from the embodiments given herein 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 drawings described above 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.
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.
Fig. 1 is a schematic flowchart of a data processing method provided in the present application, and as shown in fig. 1, the method is applied to a system including a server and a camera, and the method includes the following steps S101 to S104:
S101, the camera sends the collected video data of the first user to a server.
In this embodiment, the installation scenario of the cameras may be set according to actual needs, and is not specifically limited herein, for example, the method may be installed in a kindergarten, that is, the method may be applied in a kindergarten scenario, and may be implemented according to different locations of the kindergarten with different numbers of cameras, for example, 3 to 5 cameras may be used in a classroom, and 8 to 12 cameras may be used in a playground, and it should be noted that the specific installation location and the installation number of the cameras may be set according to actual needs, and are not specifically limited herein. Of course, the method can also be applied to a primary school scene, for example, the method can be installed in different places of a primary school, and the installation scene of the camera can be set according to actual needs, which is not limited specifically herein.
It should be noted again that the first user may be a child, and the second user may be a parent of the child, or the second user may also be a teacher of the kindergarten where the child is located or another manager of the kindergarten, and the first user and the second user may be specifically set according to a scenario to which the data processing method is applied, which is not specifically limited herein.
It should be noted that, when the camera acquires the video data of the first user, the video data with a preset time length may be acquired according to a preset period (for example, a class time is the preset period), or the video data with a random time length may be acquired at random, and the acquisition mode of the video data of the first user is not specifically limited here.
S102, the server analyzes the received video data of the first user and obtains behavior data of the first user.
Specifically, the server needs to generate a plurality of images arranged according to a time sequence from the received video data of the first user, and then performs image recognition on the images, wherein during recognition, the images can be recognized according to a pre-stored preset action database to obtain behavior data of the first user; when the video data generates a plurality of images arranged in time sequence, each frame of image of the video data or a plurality of images generated according to a time period may be generated.
It should be noted that the behavior data includes at least one of the number of times the user is in an active state, the duration of time the user is in a quiet state, and the number of times the user speaks, and the specific type of the behavior data may be set according to actual needs, and is not specifically limited herein.
S103, the server compares the behavior data of the first user with the abnormal database to obtain a comparison result.
Taking the first user as an example of a child, when the child says only 15 sentences in a day in a kindergarten, according to the specific self-closing condition of the child in the abnormal database, the speaking amount per day does not exceed 20 sentences, so that the child can be determined to have the self-closing condition, and therefore the child can be sent to a parent or a teacher and other second users to facilitate the parent or the teacher to perform further actions on the child; therefore, the infant can accurately find the conditions of hyperactivity, self-closure, inattention and the like of the infant and can timely feed back the conditions to parents.
And S104, the server sends the comparison result to the user equipment of the second user.
For example, when the first user is a child that learns in a kindergarten and the second user is a parent or a teacher of the child, the camera acquires video data of the child, analyzes the video data of the child through the server to obtain behavior data of the child, the server compares the behavior data of the child with the abnormal database, and sends a comparison result to the user equipment of the parent or the teacher of the child to remind the parent or the teacher of whether the child has a behavior abnormality.
In a possible embodiment, fig. 2 is a schematic flowchart of a process of step S103 provided in the present application, as shown in fig. 2, step S103 is a process in which the server compares the behavior data of the first user with the abnormal database to obtain a comparison result, and includes steps S031 through S032 as follows:
s031, the server judges whether the behavior data of the first user matches the abnormal judgment data in the abnormal database;
s032, when the behavior data of the first user matches the abnormality determination data in the abnormality database, the server obtains an abnormality name corresponding to the behavior data of the first user according to the abnormality determination data;
s033, the server generates a comparison result according to the abnormal name.
Specifically, the server performs matching in an anomaly database according to the behavior data of the first user, where the anomaly database includes multiple types of anomaly determination data, such as child hyperactivity determination data, child self-closing determination data, and the like, and when the behavior data of the first user is not matched with the anomaly determination data in the anomaly database, it may be determined that the first user is not in an abnormal state, the step S101 is continuously performed, and when the behavior data of the first user is matched with the anomaly determination data in the anomaly database, the server obtains an anomaly name corresponding to the behavior data of the first user according to the anomaly determination data, where the anomaly name may be "abnormal and may have a tendency to self-close (or move)", and the server generates a comparison result according to the anomaly name, where the comparison result may include a suggestion for the second user, and the like.
In a possible embodiment, fig. 3 is a schematic flow chart of a data processing method provided in the present application, and as shown in fig. 3, the data processing method further includes steps S105 to S108 as follows:
s105, the camera sends the collected video data of a preset scene to a server, wherein the preset scene comprises a plurality of third users;
s106, the server analyzes the received video data of the preset scene and determines whether a first user which is not synchronous with the behavior data of a third user exists in the preset scene;
s107, when a first user which is not synchronous with behavior data of a third user exists in a preset scene, the server sends an instruction for instructing the camera to track and shoot the first user to the camera;
and S108, the camera tracks and shoots the first user according to the received instruction, and sends the collected video data of the first user to the server.
Taking the first user as an example of a child, the third user is a child that learns in the same kindergarten as the first user, the preset scene may be a scene in which the child plays a music class in a classroom, when all children need to play songs, most of the children in the classroom start to play songs, and the children with a self-closing tendency are not coordinated with most of the children or do not play songs at all, so that when the behavior data of a certain child or a plurality of children is not synchronized with the behavior data of most of the children, it is determined that the certain child or the plurality of children with the non-synchronized behavior data are the first user, and the other children are the third users, the server sends an instruction to the camera to enable the camera to follow and collect (monitor) the child as the first user, further verifies the condition of the first user, and starts to execute step S101.
In a possible embodiment, fig. 4 is a schematic flowchart of a data processing method provided in the present application, and as shown in fig. 4, the data processing method includes step S108, where the camera performs tracking shooting on the first user according to a received instruction, specifically:
and the camera carries out tracking shooting on the first user according to the received instruction and preset time length.
Specifically, the preset time period may be half an hour, 1 hour, 2 hours, or half a day, or the like.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the application, S101, a camera sends acquired video data of a first user to a server; s102, analyzing the received video data of the first user by the server to acquire behavior data of the first user; s103, the server compares the behavior data of the first user with an abnormal database to obtain a comparison result; s104, the server sends the comparison result to the user equipment of the second user; for example, when the first user is a child who learns in a kindergarten and the second user is a parent or a teacher of the child, the camera acquires video data of the child, analyzes the video data of the child through the server to obtain behavior data of the child, the server compares the behavior data of the child with an abnormal database according to the behavior data of the child, and sends a comparison result to user equipment of the parent or the teacher of the child to remind the parent or the teacher of whether the child has abnormal behavior; therefore, by the method, whether the child has abnormal conditions such as hyperactivity, self-closing and inattention can be accurately found, and timely feedback can be given to parents.
Based on the same technical concept, the embodiment of the application also provides a data processing system, which participates in fig. 5, wherein the system comprises a camera and a server;
the camera 10 is used for sending the collected video data of the first user to the server;
the server 20 is configured to analyze the received video data of the first user to obtain behavior data of the first user;
the server 20 is used for comparing the behavior data of the first user with the abnormal database to obtain a comparison result;
and the server 20 is configured to send the comparison result to the user equipment of the second user.
Optionally, the server 20 is configured to compare the behavior data of the first user with the abnormal database to obtain a comparison result, specifically:
the server is used for judging whether the behavior data of the first user is matched with the abnormal judgment data in the abnormal database;
when the behavior data of the first user is matched with the abnormality judgment data in the abnormality database, the server is used for obtaining an abnormality name corresponding to the behavior data of the first user according to the abnormality judgment data;
and the server is used for generating a comparison result according to the abnormal name.
Alternatively,
the camera 10 is configured to send the acquired video data of a preset scene to the server 20, where the preset scene includes a plurality of third users;
The server 20 is configured to analyze the received video data of the preset scene, and determine whether a first user who is not synchronized with behavior data of a third user exists in the preset scene;
when a first user who is not synchronous with behavior data of a third user exists in a preset scene, the server 20 is configured to send an instruction for instructing the camera 10 to track and shoot the first user to the camera 10;
and the camera 10 is configured to perform tracking shooting on the first user according to the received instruction, and send the collected video data of the first user to the server 20.
Optionally, the camera 10 is configured to perform tracking shooting on the first user according to the received instruction, specifically:
and the camera 10 is used for tracking and shooting the first user according to the received instruction and the preset time length.
Optionally, the behavioural data comprises at least one of a number of times the user is active, a duration of time the user is in a quiet state and a number of utterances by the user.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the present application, the camera 10 sends the collected video data of the first user to the server 20; the server 20 analyzes the received video data of the first user to obtain behavior data of the first user; the server 20 compares the behavior data of the first user with the abnormal database to obtain a comparison result; the server 20 sends the comparison result to the user equipment of the second user; for example, when the first user is a child that learns in a kindergarten and the second user is a parent or a teacher of the child, the camera 10 collects video data of the child, and analyzes the video data of the child through the server 20 to obtain behavior data of the child, and the server 20 compares the behavior data of the child with an abnormal database and sends a comparison result to the user device of the parent or the teacher of the child to remind the parent or the teacher of whether the child has behavior abnormality; therefore, by the method, whether the child has abnormal conditions such as hyperactivity, self-closure, inattention and the like can be accurately found, and timely feedback can be given to parents.
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 data processing method is applied to a system comprising a camera and a server, and comprises the following steps:
The camera sends the collected video data of the first user to the server;
the server analyzes the received video data of the first user to obtain behavior data of the first user;
the server compares the behavior data of the first user with an abnormal database to obtain a comparison result;
the server sends the comparison result to the user equipment of the second user;
the method further comprises the following steps:
the camera sends the collected video data of a preset scene to the server, wherein the preset scene comprises a plurality of third users;
the server analyzes the received video data of a preset scene and determines whether the first user which is not synchronous with the behavior data of the third user exists in the preset scene or not;
when the first user which is not synchronous with the behavior data of the third user exists in the preset scene, the server sends an instruction for instructing the camera to track and shoot the first user to the camera;
the camera tracks and shoots the first user according to the received instruction, and sends the collected video data of the first user to the server;
The behavioral data includes at least one of a number of times the user is active, a duration of time the user is in a quiet state, and a number of utterances of the user;
the abnormality database comprises a plurality of kinds of abnormality determination data, and the abnormality determination data comprises infant hyperactivity determination data or infant self-closing determination data.
2. The method of claim 1, wherein the server compares the behavioral data of the first user with an exception database to obtain a comparison result, comprising:
the server judges whether the behavior data of the first user is matched with the abnormal judgment data in the abnormal database;
when the behavior data of the first user is matched with the abnormal judgment data in the abnormal database, the server obtains an abnormal name corresponding to the behavior data of the first user according to the abnormal judgment data;
and the server generates the comparison result according to the abnormal name.
3. The method of claim 1, wherein the camera, in accordance with the received instruction, performs a track shot for the first user, comprising:
and the camera tracks and shoots the first user according to the received instruction and preset time length.
4. A data processing system is characterized in that the system comprises a camera and a server;
the camera is used for sending the collected video data of the first user to the server;
the server is used for analyzing the received video data of the first user and acquiring behavior data of the first user;
the server is used for comparing the behavior data of the first user with an abnormal database to obtain a comparison result;
the server is used for sending the comparison result to the user equipment of the second user;
the camera is used for sending the collected video data of a preset scene to the server, wherein the preset scene comprises a plurality of third users;
the server is used for analyzing the received video data of a preset scene and determining whether the first user which is not synchronous with the behavior data of the third user exists in the preset scene;
when the first user which is not synchronous with the behavior data of the third user exists in the preset scene, the server is used for sending an instruction for instructing the camera to track and shoot the first user to the camera;
The camera is used for tracking and shooting the first user according to the received instruction and sending the collected video data of the first user to the server;
the behavioral data includes at least one of a number of times the user is active, a duration of time the user is in a quiet state, and a number of utterances of the user;
the abnormality database comprises a plurality of kinds of abnormality determination data, and the abnormality determination data comprises infant hyperactivity determination data or infant self-closing determination data.
5. The system of claim 4, wherein the server is configured to compare the behavior data of the first user with an abnormal database to obtain a comparison result, and specifically:
the server is used for judging whether the behavior data of the first user is matched with the abnormal judgment data in the abnormal database;
when the behavior data of the first user is matched with the abnormal judgment data in the abnormal database, the server is used for obtaining an abnormal name corresponding to the behavior data of the first user according to the abnormal judgment data;
and the server is used for generating the comparison result according to the abnormal name.
6. The system of claim 4, wherein the camera is configured to perform tracking shooting on the first user according to the received instruction, specifically:
and the camera is used for tracking and shooting the first user according to a preset time length according to the received instruction.
CN201810653812.4A 2018-06-22 2018-06-22 Data processing method and system Active CN108960101B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810653812.4A CN108960101B (en) 2018-06-22 2018-06-22 Data processing method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810653812.4A CN108960101B (en) 2018-06-22 2018-06-22 Data processing method and system

Publications (2)

Publication Number Publication Date
CN108960101A CN108960101A (en) 2018-12-07
CN108960101B true CN108960101B (en) 2022-06-14

Family

ID=64486266

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810653812.4A Active CN108960101B (en) 2018-06-22 2018-06-22 Data processing method and system

Country Status (1)

Country Link
CN (1) CN108960101B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103181766A (en) * 2011-12-30 2013-07-03 华为终端有限公司 Human body guarding method and device
CN104219992A (en) * 2012-03-21 2014-12-17 国立大学法人浜松医科大学 Asperger's diagnosis assistance method and system, and asperger's diagnosis assistance device
CN104935884A (en) * 2015-06-05 2015-09-23 重庆智韬信息技术中心 Method for intelligently monitoring class attendance order of students
CN105147296A (en) * 2015-07-09 2015-12-16 广东小天才科技有限公司 Method and device for detecting user information
CN107833618A (en) * 2017-11-06 2018-03-23 广州优涵信息技术有限公司 Autism children and family information management system
CN108073888A (en) * 2017-08-07 2018-05-25 中国科学院深圳先进技术研究院 A kind of teaching auxiliary and the teaching auxiliary system using this method

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160132726A1 (en) * 2014-05-27 2016-05-12 Umoove Services Ltd. System and method for analysis of eye movements using two dimensional images
US10121064B2 (en) * 2015-04-16 2018-11-06 California Institute Of Technology Systems and methods for behavior detection using 3D tracking and machine learning

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103181766A (en) * 2011-12-30 2013-07-03 华为终端有限公司 Human body guarding method and device
CN104219992A (en) * 2012-03-21 2014-12-17 国立大学法人浜松医科大学 Asperger's diagnosis assistance method and system, and asperger's diagnosis assistance device
CN104935884A (en) * 2015-06-05 2015-09-23 重庆智韬信息技术中心 Method for intelligently monitoring class attendance order of students
CN105147296A (en) * 2015-07-09 2015-12-16 广东小天才科技有限公司 Method and device for detecting user information
CN108073888A (en) * 2017-08-07 2018-05-25 中国科学院深圳先进技术研究院 A kind of teaching auxiliary and the teaching auxiliary system using this method
CN107833618A (en) * 2017-11-06 2018-03-23 广州优涵信息技术有限公司 Autism children and family information management system

Also Published As

Publication number Publication date
CN108960101A (en) 2018-12-07

Similar Documents

Publication Publication Date Title
US9225701B2 (en) Secure communication systems and methods
Dezecache et al. Sharing the joke: the size of natural laughter groups
Leigh et al. Cognitive therapy for social anxiety disorder in adolescents: a development case series
US8694307B2 (en) Method and apparatus for temporal speech scoring
US10942563B2 (en) Prediction of the attention of an audience during a presentation
KR20180010581A (en) Surveillance Data Providing System and Method Thereof
See et al. Understanding and predicting user dissatisfaction in a neural generative chatbot
Dabbs et al. “Grouptalk”: Sound and silence in group conversation
JP2018045676A (en) Information processing method, information processing system and information processor
ter Heijden et al. Design and evaluation of a virtual reality exposure therapy system with automatic free speech interaction
CN108257594A (en) A kind of conference system and its information processing method
CN109949014A (en) Meeting intelligence schedule system
CN110648115A (en) Event reminding method, device, equipment and storage medium
US10719696B2 (en) Generation of interrelationships among participants and topics in a videoconferencing system
CN108960101B (en) Data processing method and system
US8904517B2 (en) System and method for contexually interpreting image sequences
CA2845843A1 (en) Secure communication systems and methods
JP2015169967A (en) Information processing system, information processing method and program
Young et al. A qualitative study exploring the life‐course experiences of young offenders with symptoms and signs of ADHD who were detained in a residential care setting
WO2019093633A1 (en) Method and system for estimating emotion with respect to advertisement content on the basis of video chat, and non-temporal computer-readable recording medium
Meinke et al. Influencing from impaired administrations: Presidents, White House scandals, and legislative leadership
Ronzhin et al. A software system for the audiovisual monitoring of an intelligent meeting room in support of scientific and education activities
Saito et al. Estimating user's attitude in multimodal conversational system for elderly people with dementia
WO2017094970A1 (en) Call classification system and method for managing consultation quality of call center
CN107705381A (en) Student attendance monitoring device and control method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20230116

Address after: 2210, 22nd Floor, Building 2, Yard 19, Beiyuan East Road, Chaoyang District, Beijing, 100012

Patentee after: BEIJING WEOIL TECHNOLOGY SERVICE CO.,LTD.

Address before: 100012 room 709, block D, yard 19, Beiyuan East Road, Chaoyang District, Beijing

Patentee before: Zhang Xiaoyong