CN118522126A - Intelligent reminding interaction system for sitting postures of children - Google Patents

Abstract

The present invention discloses an interactive system for intelligent reminder of children's sitting posture, which relates to the field of intelligent reminder technology, including a sitting posture monitoring unit and a result display unit, and a data acquisition unit. The data acquisition unit collects sitting posture information in real time through a pressure cushion, collects the pressure distribution data of the buttocks and legs when sitting, first pre-processes the original data through a filtering algorithm, then identifies the sitting posture action type, analyzes the current sitting posture state, and collects environmental parameters in real time, performs threshold judgment analysis on the collected temperature, humidity, and light intensity parameters, and analyzes the environmental conditions during the sitting process. The present invention uploads the sitting posture state data and environmental parameters to a cloud server for analysis and processing, and transmits the analysis results to a mobile phone APP client through the network, and displays them on the client in the form of a chart, displays the current sitting posture and environmental conditions in real time, and promptly reminds children to correct bad sitting postures and adjust the environment.

Description

An interactive system for intelligent reminder of children's sitting posture

Technical Field

The present invention relates to the technical field of intelligent reminders, and in particular to an interactive system for intelligent reminders of children's sitting postures.

Background Art

Long-term improper sitting posture will cause certain harm to human health. If you do not adjust the bad sitting posture for a long time, it will lead to uneven force on local tissues, organs, nerves and spinal cord, and will cause many harms, such as capillary blockage, nerve numbness, and various spinal diseases. During the growth of children, most of the time they are sitting to write or read. The correct sitting posture can not only prevent myopia and spinal curvature, but also produce the best breathing results, and can more effectively maintain vitality and concentration, and improve learning efficiency. Patent No. 547.4 discloses "a child sitting posture detection intelligent interactive device system and method, belonging to the field of human sitting posture detection and interactive technology, including a base, a depth camera, a central processing chip, a motor control board, a left motor, a right motor, a middle motor, a left spring, a right spring, a middle spring, a left tendon rope, a right tendon rope, a middle tendon rope, a silicone shell, a bottom plate, a top plate, an LED light ring, a speaker, and a terminal APP. The device of the present invention uses a depth camera, multiple motors, springs, tendons, silicone shells, and terminal APPs to comprehensively realize the child sitting posture detection and interactive functions."

The above-mentioned document can detect the angle of the child's sitting posture in real time, and can also simulate the child's posture in real time through the device for sound and light reminders, forming interesting real-time physical interaction and short-term incentives. However, the child's sitting posture will be affected by many factors. When it is cloudy and the light is dim, the child may change his sitting posture according to the light when reading. In addition, when the outside temperature drops or the humidity increases, children tend to curl up and easily form a bad sitting posture. Therefore, it is important for children to be in a relatively comfortable sitting environment. There are many types of sitting postures. If various bad sitting postures are not specifically counted and then presented to the user in a visual form, it is difficult to correct them in a targeted manner and the applicability is not high.

Summary of the invention

The purpose of the present invention is to provide a children's sitting posture intelligent reminder interactive system to solve the problems raised in the above background technology.

To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a child sitting posture intelligent reminder interactive system, comprising a sitting posture monitoring unit and a result display unit;

A data acquisition unit, wherein the data acquisition unit collects sitting posture information in real time through a pressure cushion, collects pressure distribution data of the buttocks and legs when sitting, first pre-processes the original data through a filtering algorithm, then identifies the sitting posture action type, analyzes the current sitting posture state, and simultaneously collects environmental parameters in real time, performs threshold judgment analysis on the collected temperature, humidity, and light intensity parameters, analyzes the environmental conditions during the sitting process, and uses a sitting posture action recognition and analysis algorithm to divide the sitting posture state into a standard sitting posture and a bad sitting posture.

The data transmission unit transmits the sitting pressure distribution data and environmental parameters collected in real time to the cloud server for analysis and processing through the communication transmission module.

A sitting posture reminder unit monitors the sitting posture of the child and obtains full monitoring data. After displaying the results to the user, the unit interacts with the child using the device and reminds the user to adjust the sitting posture and environmental parameters through voice and text.

The sitting posture recording unit displays the historical records of the child during the monitoring process on the mobile phone APP after the monitoring is completed. During the period, the detailed situation of the overall sitting posture is captured by the camera, including the number of times each sitting posture is used, the monitoring time, the details of micro-movements and the recording information of environmental parameters, so as to facilitate the observation and comparison of the child's sitting posture to correct the sitting posture.

Preferably, the data acquisition unit includes a sitting pressure acquisition module and an environmental parameter acquisition module. The sitting pressure acquisition module uses a flexible array pressure sensor to collect pressure distribution information. The sitting pressure distribution signal is represented by a 60-row*60-column pressure matrix. The pressure size corresponds to the change in the numerical value of the point on the matrix within the range of 0 to 255. The non-noise points are processed by mean filtering according to the filtering algorithm, and the isolated noise points are directly filtered out. The current pressure pad is scanned in sequence to collect all pressure point data of one frame, and a filtering template is constructed. The total number of pressure points with pressure values in the template is counted. If the total number of such pressure points is more than 4, the pressure point is judged as a non-noise point, otherwise it is judged as a noise point. point, and distinguish normal sitting posture and bad sitting posture according to the current sitting posture. Bad sitting posture is divided into forward leaning, backward leaning, left leaning, right leaning, shaking legs, crossing legs and leaving the seat. The environmental parameter acquisition module collects environmental parameters through light intensity sensors, temperature sensors and humidity sensors. The light intensity sensor is used to detect changes in light during sitting, remind children to adjust the light intensity in time, guide correct use of light, and adjust sitting posture to reduce the incidence of myopia. The temperature and humidity changes during sitting are detected by temperature sensors and humidity sensors, and children are reminded to adjust environmental parameters, so that children are in a relatively comfortable sitting environment and improve learning efficiency. These parameters are analyzed to accurately determine the environmental conditions of children during sitting.

Preferably, the data acquisition unit also includes a signal processing module, which includes signal amplification and A/D conversion. The flexible array sensor is a piezoresistive type. The output of the flexible array sensor is converted into a voltage signal through signal acquisition, and finally converted into a pressure value. The low-frequency and weak sitting posture signal is amplified and processed, and then A/D conversion is performed through ADC. The flexible array sensor is scanned by a secondary measurement method, and a row and a column are selected and connected to the ADC at the same time using the amplifier input end, and the real-time force condition of each node is obtained in turn through the address cycle.

Preferably, the data transmission unit includes a Bluetooth communication module and a debugging serial port module. The Bluetooth communication module transmits the collected ambient light and temperature and humidity data to the MCU for data processing, and then uploads them together with the sitting pressure distribution data to the cloud server for analysis. The debugging serial port module serves as a debugging assistant to complete the processing of the data not transmitted by the Bluetooth communication module.

Preferably, the sitting posture monitoring unit includes a parameter adjustment module and a device connection module. The parameter adjustment module sets the alarm thresholds of temperature, humidity and light intensity during the sitting posture monitoring process. The server judges the data collected by the environment detection module according to the thresholds set by the user. If the collected environmental parameters are not within the set thresholds, an early warning is given to remind the user to adjust the environment. If the user does not set it, the server judges according to the default threshold and sets the sampling frequency of the collection device during the sitting posture monitoring process, allowing the user to set the reminder time independently. The device connection module sets the IP number and port number of the sitting posture monitoring device. When the user connects to the device through a mobile phone APP, it will connect to the device according to the input IP number and port number to control the operation of the device.

Preferably, the sitting posture monitoring unit also includes an operation control module, which enables the user to connect to the sitting posture monitoring and collection device through the device connection function. The mobile phone APP connects to the monitoring device according to the input IP number and port number, and then performs relevant controls on the device, including starting monitoring and stopping monitoring. Starting monitoring is used to control the device to turn on the collection function and monitor the sitting posture in real time. Stopping monitoring is used to control the device to turn off the collection function and turn off monitoring of the sitting posture.

Preferably, the result display unit will bind the sitting posture characteristic data related to the child through a mobile phone APP, all real-time measured data will be transmitted to the mobile phone APP client through the network, and the analysis results will be displayed on the client in the form of charts.

Preferably, if the voice reminder is turned on in the sitting posture reminder unit, if the child's sitting posture is incorrect during the sitting posture monitoring process, the current bad sitting posture will be announced through voice to remind the user to correct the sitting posture in time. If the voice reminder is turned off, during the sitting posture monitoring process, the sitting posture recording unit will display the relevant information during the sitting posture in the form of a chart, wherein the monitoring time and bad sitting posture are counted in the form of a pie chart, the environmental parameters are continuously counted in the form of a line graph, and the details of the micro-movements that appear frequently during the monitoring process are described in text.

The specific filtering algorithm is:

Among them, _fij is the original collected data, _gij is the filtered data, and M is the total number of pixels in the template including the current pixel.

Compared with the prior art, the present invention has the following beneficial effects:

1. The present invention collects the pressure distribution data of the buttocks and legs when sitting through the data acquisition unit, then identifies the sitting action type, analyzes the current sitting state, and collects environmental parameters in real time, performs threshold judgment analysis on the collected temperature, humidity, and light intensity parameters, analyzes the environmental conditions during the sitting process, uploads the sitting state data and environmental parameters to the cloud server through the data transmission unit for analysis and processing, and transmits the analysis results to the mobile phone APP client through the network, and displays them in the client in the form of a chart, showing the current sitting posture and environmental conditions in real time, and promptly reminding children to correct bad sitting postures and adjust the environment.

2. The present invention monitors the state of the child in the entire sitting process through a sitting posture monitoring unit, and determines the early warning reminder according to the set threshold value, so as to timely inform the user of the real-time environmental status and sitting posture status, or the user can independently set the reminder time according to the actual situation so as not to affect the child's current work status. In addition, the sitting posture reminder unit selects the reminder category, and selects real-time voice broadcast or storage and recording in the mobile phone APP for independent review. The sitting posture recording unit records the number of times of each sitting posture, monitoring time, micro-movement details and environmental parameters, which is convenient for observing and comparing the child's sitting posture to correct the sitting posture.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic diagram of the overall system flow diagram of an embodiment of the present invention.

FIG2 is a block diagram of internal modules of a data acquisition unit provided by an embodiment of the present invention;

3 is a block diagram of internal modules of a data transmission unit provided in an embodiment of the present invention;

FIG. 4 is a block diagram of internal modules of a sitting posture monitoring unit provided in an embodiment of the present invention.

In the figure: 1. Data acquisition unit; 101. Sitting pressure acquisition module; 102. Environmental parameter acquisition module; 103. Signal processing module; 2. Data transmission unit; 201. Bluetooth communication module; 202. Debug serial port module; 3. Sitting monitoring unit; 301. Parameter adjustment module; 302. Equipment connection module; 303. Operation control module; 4. Result display unit; 5. Sitting reminder unit; 6. Sitting recording unit.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Please refer to Figures 1-4, the present invention provides a technical solution: a child sitting posture intelligent reminder interactive system, including a sitting posture monitoring unit 3 and a result display unit 4;

Data acquisition unit 1, data acquisition unit 1 collects sitting posture information in real time through a pressure cushion, collects the pressure distribution data of the buttocks and legs when sitting, first pre-processes the original data through a filtering algorithm, then identifies the sitting posture action type, analyzes the current sitting posture state, and collects environmental parameters in real time, performs threshold judgment analysis on the collected temperature, humidity, and light intensity parameters, analyzes the environmental conditions during the sitting process, and uses a sitting posture action recognition and analysis algorithm to divide the sitting posture state into standard sitting posture and poor sitting posture.

The data transmission unit 2 transmits the real-time collected sitting pressure distribution data and environmental parameters to the cloud server for analysis and processing through the communication transmission module.

The sitting posture reminder unit 5 and the sitting posture reminder unit 4 monitor the sitting posture of the child and obtain the whole monitoring data, and after displaying the result to the user, interact with the child using the device, and remind the user to adjust the sitting posture and environmental parameters by voice and text.

After the sitting posture recording unit 6 and the sitting posture recording unit 5 complete the monitoring, the historical records of the child during the monitoring process are displayed on the mobile phone APP. During the period, the detailed situation of the overall sitting posture is captured by the camera, including the number of times of each sitting posture, monitoring time, micro-movement details and recording information of environmental parameters, so as to facilitate the observation and comparison of the child's sitting posture in order to correct the sitting posture.

The data acquisition unit 1 includes a sitting pressure acquisition module 101 and an environmental parameter acquisition module 102. The sitting pressure acquisition module 101 uses a flexible array pressure sensor to collect pressure distribution information. The sitting pressure distribution signal is represented by a 60-row*60-column pressure matrix. The pressure size corresponds to the change in the value of the point on the matrix within the range of 0 to 255. The non-noise points are processed by mean filtering according to the filtering algorithm, and the isolated noise points are directly filtered out. The current pressure pad is scanned in sequence to collect all pressure point data of one frame, and a filtering template is constructed. The total number of pressure points with pressure values in the template is counted. If the total number of such pressure points is more than 4, the pressure point is judged as a non-noise point, otherwise it is judged as Miscellaneous points, according to the current sitting posture, normal sitting posture and bad sitting posture are judged. Bad sitting posture is divided into forward leaning, backward leaning, left leaning, right leaning, shaking legs, crossing legs and leaving the seat. The environmental parameter acquisition module 102 collects environmental parameters through light intensity sensors, temperature sensors and humidity sensors. The light intensity sensor is used to detect the change of light during the sitting process, remind children to adjust the light intensity in time, guide the correct use of light, and adjust the sitting posture to reduce the incidence of myopia. The temperature and humidity changes during the sitting process are detected by the temperature sensor and the humidity sensor, and the children are reminded to adjust the environmental parameters, so that the children are in a relatively comfortable sitting environment, improve learning efficiency, and analyze these parameters to accurately judge the environmental conditions of children during sitting;

The data acquisition unit 1 also includes a signal processing module 103, which includes signal amplification and A/D conversion. The flexible array sensor is a piezoresistive type. The output of the flexible array sensor is converted into a voltage signal through signal acquisition, and finally converted into a pressure value. The low-frequency and weak sitting posture signal is amplified and processed, and then A/D conversion is performed through ADC. The flexible array sensor is scanned by a secondary measurement method. A row and a column are selected and connected to the ADC at the same time using the amplifier input end, and the real-time force condition of each node is obtained in turn through the address cycle;

The data transmission unit 2 includes a Bluetooth communication module 201 and a debugging serial port module 202. The Bluetooth communication module 201 transmits the collected ambient light and temperature and humidity data to the MCU for data processing, and then uploads it together with the sitting pressure distribution data to the cloud server for analysis. The debugging serial port module 202 serves as a debugging assistant to improve the data not transmitted by the Bluetooth communication module 201.

The sitting posture monitoring unit 3 includes a parameter adjustment module 301 and a device connection module 302. The parameter adjustment module 301 sets the alarm thresholds of temperature, humidity and light intensity during the sitting posture monitoring process. The server judges the data collected by the environment detection module according to the thresholds set by the user. If the collected environmental parameters are not within the set thresholds, an early warning is given to remind the user to adjust the environment. If the user does not set it, the server judges according to the default threshold and sets the sampling frequency of the collection device during the sitting posture monitoring process, allowing the user to set the reminder time independently. The device connection module 302 sets the IP number and port number of the sitting posture monitoring device. When the user connects to the device through the mobile phone APP, it will connect to the device according to the input IP number and port number to control the operation of the device;

The sitting posture monitoring unit 3 also includes an operation control module 303. The operation control module 303 enables the user to connect to the sitting posture monitoring and collecting device through the device connection function. The mobile phone APP connects to the monitoring device according to the input IP number and port number, and then performs relevant control on the device, including starting monitoring and stopping monitoring. Starting monitoring is used to control the device to start the collection function and monitor the sitting posture in real time. Stopping monitoring is used to control the device to turn off the collection function and turn off the monitoring of the sitting posture.

The result display unit 4 binds the sitting posture characteristic data related to the child through the mobile phone APP, and all the real-time measured data will be transmitted to the mobile phone APP client through the network, and the analysis results will be displayed on the client in the form of charts;

If the voice reminder is turned on in the sitting posture reminder unit 5, if the child's sitting posture is incorrect during the sitting posture monitoring process, the current bad sitting posture will be announced by voice to remind the user to correct the sitting posture in time. If the voice reminder is turned off, during the sitting posture monitoring process, the sitting posture recording unit 6 displays the relevant information during the sitting posture in the form of a chart, in which the monitoring time and bad sitting posture are counted in the form of a pie chart, the environmental parameters are continuously counted in the form of a line chart, and the details of the micro-movements that appear frequently during the monitoring process are described in text form;

The specific filtering algorithm is:

Among them, _fij is the original collected data, _gij is the filtered data, and M is the total number of pixels in the template including the current pixel;

The specific sitting posture action recognition algorithm is as follows:

Where N is the total number of samples collected, M is the number of classification categories, c is one of the M categories, the value of y _ic is 1 when sample i is the same as the true category c, otherwise it is 0, and _pic is the probability that the observed sample i belongs to category c.

Working principle: The present invention collects sitting posture information in real time through a pressure cushion through a data acquisition unit 1, collects the pressure distribution data of the buttocks and legs when sitting, pre-processes the original data through a filtering algorithm, and then identifies the sitting posture action type, analyzes the current sitting posture state, and collects environmental parameters in real time, performs threshold judgment analysis on the collected temperature, humidity, and light intensity parameters, analyzes the environmental conditions during the sitting process, and uses a sitting posture action recognition and analysis algorithm to divide the sitting posture state into a standard sitting posture and a bad sitting posture, and transmits the real-time collected sitting posture pressure distribution data and environmental parameters to a cloud server for analysis and processing through a data transmission unit 2, sets the alarm thresholds of temperature, humidity, and light intensity during the sitting posture monitoring process through a sitting posture monitoring unit 3, and the server judges the data collected by the environmental detection module according to the threshold set by the user. If the collected environmental parameters are not within the set threshold, an early warning is given to remind the user to adjust the environment. If the user does not set it, the server judges according to the default threshold, and sets the sampling frequency of the acquisition device during the sitting posture monitoring process, connects to the monitoring device through the IP number and port number, and then performs relevant control on the device, allowing the user to set the reminder time independently;

The result display unit 4 will bind the sitting posture feature data related to the child through the mobile phone APP, all real-time measured data will be transmitted to the mobile phone APP client through the network, and the analysis results will be displayed on the client in the form of charts. After the results are displayed to the user through the sitting posture reminder unit 5, it will interact with the child using it, and remind the user to adjust the sitting posture and environmental parameters through voice and text. If the voice reminder is turned on, if the child's sitting posture is incorrect during the sitting posture monitoring process, the current sitting posture will be announced through voice to remind the user to correct the sitting posture in time. If the voice reminder is turned off, during the sitting posture monitoring process, the relevant information during the sitting posture will be displayed in the form of charts through the sitting posture recording unit 6, where the monitoring time and bad sitting posture are counted in the form of pie charts, the environmental parameters are continuously counted in the form of line graphs, and the details of micro-movements that appear frequently during the monitoring process are described in text.

It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims (8)

1. The utility model provides an interactive system is reminded to children's position of sitting intelligence, includes position of sitting monitoring unit (3) and result display unit (4), its characterized in that:

the data acquisition unit (1) acquires sitting posture information in real time through the pressure cushion, acquires pressure distribution data of buttocks and legs during sitting, firstly preprocesses original data through a filtering algorithm, then recognizes sitting posture action types, analyzes the current sitting posture state, simultaneously acquires environmental parameters in real time, performs threshold judgment analysis on the acquired temperature, humidity and light intensity parameters, analyzes the environmental conditions during sitting and standing, and divides the sitting posture state into a standard sitting posture and a bad sitting posture by adopting a sitting posture action recognition and analysis algorithm;

the data transmission unit (2) is used for transmitting the sitting posture pressure distribution data and the environmental parameters acquired in real time to the cloud server through the communication transmission module for analysis and processing;

The sitting posture reminding unit (5) is used for monitoring the sitting postures of the children, acquiring whole-course monitoring data, displaying the results to the user, interacting with the used children, and reminding the user of adjusting sitting postures and environmental parameters in a voice and text mode;

The sitting posture recording unit (6) is used for displaying the history record of the child in the monitoring process on the mobile phone APP after the monitoring of the sitting posture recording unit (5) is completed, and the details of the whole sitting postures are shot through the camera during the monitoring, including the times of each sitting posture, the monitoring duration, the fine motion details and the recording information of the environmental parameters, so that the sitting postures of the child can be conveniently observed and compared to correct the sitting postures.

2. The intelligent reminding interactive system for the sitting posture of the child according to claim 1, wherein: the data acquisition unit (1) comprises a sitting posture pressure acquisition module (101) and an environmental parameter acquisition module (102), the sitting posture pressure acquisition module (101) adopts a flexible array pressure sensor to acquire pressure distribution information, a sitting posture pressure distribution signal is represented by a 60 row by 60 column pressure matrix, the pressure size corresponds to the change in the interval of 0-255 of the point on the matrix, the non-impurity points are subjected to mean value filtering treatment according to a filtering algorithm, the isolated impurity points are directly filtered, all pressure point data of one frame are acquired by sequentially scanning the current pressure pad, a filtering template is constructed, the total number of pressure points with pressure values in the template is counted, if the total number of the pressure points is more than 4, the pressure points are judged to be non-impurity points, otherwise, the non-impurity points are judged to be impurity points, the sitting posture correcting device comprises an environment parameter acquisition module (102), a temperature sensor and a humidity sensor, wherein the environment parameter acquisition module is used for acquiring environment parameters through the light intensity sensor, the temperature sensor and the humidity sensor, the light intensity sensor is used for detecting the change of light in the sitting posture process, reminding a child to timely adjust the light intensity, guiding correct light, adjusting the sitting posture to reduce the incidence of myopia, detecting the change of temperature and humidity in the sitting posture process through the temperature sensor and the humidity sensor, reminding the child to adjust the environment parameters, enabling the child to be in a relatively comfortable sitting posture environment, improving learning efficiency, and analyzing the parameters to accurately judge the environment conditions of the child in the sitting and standing process.

3. The intelligent reminding interactive system for the sitting posture of the child according to claim 2, wherein: the data acquisition unit (1) further comprises a signal processing module (103), the signal processing module (103) comprises signal amplification and A/D conversion, the flexible array sensor is piezoresistive, output of the flexible array sensor is converted into voltage signals through signal acquisition, the voltage signals are finally converted into pressure values, low-frequency and weak sitting posture signals are amplified, A/D conversion is carried out through an ADC, the flexible array sensor is scanned by adopting a secondary measurement method, one row and one row are respectively selected and connected with the ADC under the same time by utilizing the input end of the amplifier, and real-time stress conditions of each node are sequentially obtained through address circulation.

4. The intelligent reminding interactive system for the sitting posture of the child according to claim 1, wherein: the data transmission unit (2) comprises a Bluetooth communication module (201) and a debugging serial port module (202), the Bluetooth communication module (201) transmits collected ambient light and temperature and humidity data to the MCU for data processing, and then the data and sitting position pressure distribution data are uploaded to the cloud server for analysis, and the debugging serial port module (202) is used as a debugging assistant for perfecting data which are not transmitted by the Bluetooth communication module (201).

5. The intelligent reminding interactive system for the sitting posture of the child according to claim 1, wherein: the sitting posture monitoring unit (3) comprises a parameter adjusting module (301) and a device connecting module (302), the parameter adjusting module (301) is used for setting alarm thresholds of temperature, humidity and light intensity in the sitting posture monitoring process, the server is used for judging data acquired by the environment detecting module according to the threshold set by a user, if the acquired environment parameters are not in the set threshold, early warning is given to remind a user of adjusting the environment, if the user does not set, the server is used for judging according to the default threshold, the sampling frequency of the device is set in the sitting posture monitoring process, the user can autonomously set reminding time, and the device connecting module (302) is used for connecting the device according to the input IP number and the port number by setting the IP number and the port number of the sitting posture monitoring device, so that the device is controlled to operate.

6. The intelligent reminding interactive system for the sitting posture of the child according to claim 5, wherein: the sitting posture monitoring unit (3) further comprises an operation control module (303), the operation control module (303) enables a user to be connected with the sitting posture monitoring acquisition equipment through the equipment connection function, the mobile phone APP is connected with the monitoring equipment according to the input IP number and the port number, and then relevant control is carried out on the equipment, the monitoring control module comprises starting monitoring and stopping monitoring, the starting monitoring is used for controlling the equipment to start the acquisition function, the sitting posture condition is monitored in real time, the stopping monitoring is used for controlling the equipment to close the acquisition function, and the sitting posture condition is monitored in a closing mode.

7. The intelligent reminding interactive system for the sitting posture of the child according to claim 1, wherein: the result display unit (4) binds sitting posture characteristic data related to children through the mobile phone APP, all real-time measured data are transmitted to the mobile phone APP client through a network, and analysis results are displayed on the client in a form of a chart.

8. The intelligent reminding interactive system for the sitting posture of the child according to claim 1, wherein: if voice reminding is started in the sitting posture reminding unit (5), if the sitting posture of the child is incorrect in the sitting posture monitoring process, the current sitting posture is bad through voice broadcasting, a user is reminded of correcting the sitting posture in time, if voice reminding is closed, in the sitting posture monitoring process, the sitting posture recording unit (6) displays relevant information during the sitting posture in a chart mode, wherein the monitoring duration and the bad sitting posture are counted in a pie chart mode, the environmental parameters are continuously counted in a line chart mode, and details of micro-actions with high occurrence frequency in the monitoring process are described and illustrated in a text mode.