Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Behavior monitoring method and system

A behavioral and unimplemented technology, applied in instruments, data processing applications, computing, etc., to solve problems such as the inability to know the quality of habitual behaviors, the vague concept of good habits, and the inability to assist students in setting habitual behaviors.

Inactive Publication Date: 2015-12-30
GUANGDONG XIAOTIANCAI TECH CO LTD
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. It is impossible to objectively monitor whether the habitual behavior occurs and whether it is continuously completed
At present, most of the monitoring of habitual behaviors is artificially reported, so that it is impossible to judge whether the predetermined habitual behavior is implemented, and it is also impossible to know the completion quality of the habitual behavior
[0004] 2. Unable to assist students in the setting of habitual behaviors
At present, it is often necessary for students or parents to set corresponding behaviors subjectively. For primary school students and some junior high school students, the concept of good habits is relatively vague, and it is difficult to set suitable habitual behaviors according to their actual situation. , often unrealistic habit improvement can easily frustrate students; for parents, they often think of correcting habitual behaviors when habitual problems occur, which can also cause parents to be frustrated

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Behavior monitoring method and system
  • Behavior monitoring method and system
  • Behavior monitoring method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] see figure 1 , figure 1 It is a method flowchart of the first embodiment of the behavior monitoring method provided by the present invention.

[0048] In the first embodiment, the method for behavior monitoring includes:

[0049] S101, if the time to start the preset habitual behavior is up, obtain the image information and voice information of the learner's environment in real time;

[0050] According to the actual situation of the learners, the parents or the learners themselves set the time for the start of a certain habitual behavior in learning. The habitual behavior includes: memorizing words, reading texts, reading books, etc. After the time is up, start and continue to acquire The image information and voice information of the learner's environment, the image information includes the image information of the learner and the learner's surrounding environment, and the voice information includes the learner and the learner's surrounding voice information.

[005...

Embodiment 2

[0059] see figure 2 , figure 2 It is a method flowchart of the second embodiment of the behavior monitoring method provided by the present invention.

[0060] In the second embodiment, the method for behavior monitoring includes:

[0061] S201, determining a preset habitual behavior;

[0062] While determining the preset habitual behavior, set the start time of the preset habitual behavior and the duration of the preset habitual behavior.

[0063] There are two ways to identify preset habitual behaviors:

[0064] (1) Select the preset habitual behavior of the learner according to the pre-stored habitual behavior in the behavior library. There are various habitual behaviors stored in the behavior library of the smart terminal, and learners or parents can choose one or more of them. A habitual behavior that a learner needs to perform, that is, a prescribed learning activity.

[0065] (2) Determine the learner's preset habitual behavior according to the grade of the learne...

Embodiment 3

[0080] see image 3 , image 3 It is a system structure diagram of the first embodiment of the behavior monitoring system provided by the present invention.

[0081] In this embodiment, the behavior monitoring system includes:

[0082] Timer 01 is used to set the start time of the preset habitual behavior, and obtain the image information and voice information of the learner's environment in real time after the time is up.

[0083] The image acquisition unit 02 is used to acquire the image information of the learner's environment in real time;

[0084] Voice acquisition unit 03, used to acquire the voice information of the learner's environment in real time;

[0085] A matching unit 04, configured to match the image information and voice information with the pre-stored information stored in the database corresponding to the preset habitual behavior, if the matching rate of the image information and voice information and the pre-stored information reaches the preset Set a t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a behavior monitoring method and system. The behavior monitoring method includes the steps that if the timing time for starting a preset habitual behavior is reached, image information and voice information of the environment where a learner is located are obtained in real time; the image information and the voice information are matched with prestored information corresponding to the preset habitual behavior and stored in a database; if the matching ratio reaches a preset threshold value, it is judged that the learner executes the preset habitual behavior already; if the matching ratio does not reach a preset threshold value, it is judged that the learner does not execute the preset habitual behavior, and learning reminding information is transmitted out; state information of the environment where the learner is located is matched with own information in the database, whether the learner executes the preset habitual behavior or not is judged according to the matching result, and the reminding information is transmitted out when the learner does not execute the preset habitual behavior. The the preset habitual behavior of the learner is effectively monitored, and the learner can form the good learning habit easily.

Description

technical field [0001] The invention relates to the field of intelligent monitoring, in particular to a method and system for behavior monitoring. Background technique [0002] Good study habits are the inevitable basis for students to have good grades. At present, there are the following problems on how to develop students' good study habits: [0003] 1. It is impossible to objectively monitor whether the habitual behavior occurs and whether it is continuously completed. At present, most of the monitoring of habitual behaviors is artificially reported, so that it is impossible to judge whether the predetermined habitual behavior is implemented, and it is also impossible to know the completion quality of the habitual behavior. [0004] 2. Unable to assist students in the setting of habitual behaviors. At present, it is often necessary for students or parents to set corresponding behaviors subjectively. For elementary school students and some junior high school students, t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q50/20
Inventor 唐磊解文静张浩
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products