CN115080785A - Sitting posture monitoring and analyzing method and system and related equipment - Google Patents
Sitting posture monitoring and analyzing method and system and related equipment Download PDFInfo
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Abstract
The invention is suitable for the field of smart home and provides a sitting posture monitoring and analyzing method, a sitting posture monitoring and analyzing system and related equipment, wherein the method comprises the following steps: acquiring body information of a detection object; monitoring the sitting posture of a detection object in real time, and acquiring real-time monitoring data including a bone point image and sitting posture state duration of the detection object in the sitting posture state; comparing the bone point image with a standard bone point image in a preset database to obtain a sitting posture judgment result, and meanwhile, calculating the time length ratio of the poor sitting posture state according to the sitting posture judgment result; and outputting the proportion of the sitting posture state duration and the bad sitting posture state duration as a sitting posture statistical result, selecting a preset feedback rule according to the body information, and outputting the sitting posture statistical result according to the preset feedback rule for feedback. The invention realizes the method for setting the judgment standard aiming at different detection objects and improving the identification precision by combining bone detection, and can realize more systematic and scientific sitting posture judgment and feedback.
Description
Technical Field
The invention belongs to the field of intelligent home furnishing, and particularly relates to a sitting posture monitoring and analyzing method, a sitting posture monitoring and analyzing system and related equipment.
Background
In recent years, the number of young people with myopia and spinal curvature caused by improper sitting posture is gradually increasing, and the improper sitting posture is one of the main causes of vision defects and spinal dysplasia of teenagers and is very harmful to the healthy development of the teenagers. In the past learning environment, the correction of sitting posture of teenagers is mostly based on the supervision of parents and the self-discipline of the teenagers, and if the parents or guardians are not around or the teenagers are too much invested in learning, the sitting posture problem is often ignored.
The intelligent equipment capable of detecting the sitting posture of the teenagers for learning and giving a warning to the wrong sitting posture in time is a better method for solving the sitting posture health problem of the teenagers for learning. However, in the functions that can be realized by the existing intelligent device, since the learning time of the younger children is different from that of the teenagers, and the self-discipline of correcting the sitting posture is different, the traditional intelligent device for detecting the sitting posture judges in a whole way, and the adaptability is poor, so that the judgment dimensionality of the sitting posture is too single; in addition, the sitting posture detection system in the market at present is also lack of an analysis report of the sitting posture learning, and parents cannot systematically and scientifically train the correct sitting posture habits of teenagers and children through data.
Disclosure of Invention
The embodiment of the invention provides a sitting posture monitoring and analyzing method, a sitting posture monitoring and analyzing system and related equipment, and aims to solve the problems that an existing sitting posture detecting system is lack of evaluation dimensionality, no analysis report exists in sitting posture detection data, and the sitting posture detecting system is not beneficial to scientific training of sitting posture habits.
In a first aspect, an embodiment of the present invention provides a sitting posture monitoring and analyzing method, where the analyzing method includes the following steps:
acquiring body information of a detection object;
monitoring the sitting posture of the detection object in real time to obtain real-time monitoring data of the detection object, wherein the real-time monitoring data is provided with the body information and comprises a bone point image and sitting posture state duration of the detection object in a sitting posture state;
comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the duration ratio of the poor sitting posture state of the detection object according to the sitting posture judgment result;
and outputting the proportion of the sitting posture state duration to the bad sitting posture state duration as a sitting posture statistical result, selecting a preset feedback rule according to the body information, and outputting the sitting posture statistical result according to the preset feedback rule for feedback.
Further, the physical information of the detected object includes at least one of age and height.
Furthermore, the step of comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the length of time of the detection object in an adverse sitting posture state according to the sitting posture judgment result comprises the following substeps:
selecting the standard skeleton point image with the same body information as the detected object in the preset database;
comparing the skeleton point image with the standard skeleton point image to obtain the sitting posture judgment result, wherein:
and if the comparison result is not consistent, the sitting posture judgment result is an improper sitting posture, the corresponding time length is accumulated to the improper sitting posture state time length of the detection object, and the improper sitting posture state time length is divided by the sitting posture state time length to obtain the improper sitting posture state time length ratio.
Still further, the preset feedback rules include at least a first feedback rule and a second feedback rule, wherein:
when the first feedback rule is used for feedback, the body information of the detection object is in a preset first body information interval;
when the second feedback rule is used for feedback, the body information of the detection object is in a preset second body information interval;
wherein the first body information interval and the second body information interval do not coincide.
Still further, the analysis method further comprises the steps of:
setting the maximum occupancy ratio of sitting posture state and poor sitting posture according to the body information of the detection object, and reminding the detection object according to the maximum occupancy ratio of sitting posture state and poor sitting posture, wherein:
when the sitting posture state duration of the detection object is longer than the sitting posture state maximum duration matched with the body information of the detection object, sending a prompt to the detection object;
and when the bad sitting posture occupation ratio of the detection object is larger than the maximum bad sitting posture occupation ratio which is consistent with the body information of the detection object, sending a prompt to the detection object.
Still further, the analysis method further comprises the steps of:
and when the sitting posture judgment result shows that the sitting posture of the detection object is an undesirable sitting posture, reminding is given to the detection object.
Furthermore, the preset database is a cloud database.
In a second aspect, an embodiment of the present invention further provides a sitting posture detecting and analyzing system, including:
the body information acquisition module is used for acquiring body information of the detection object;
the sitting posture monitoring module is used for monitoring the sitting posture of the detection object in real time to obtain real-time monitoring data of the detection object, wherein the real-time monitoring data is provided with the body information, and the real-time monitoring data comprises a bone point image and sitting posture state duration of the detection object in a sitting posture state;
the sitting posture judging module is used for comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judging result of the detection object, and meanwhile, calculating the duration ratio of the bad sitting posture state of the detection object according to the sitting posture judging result;
and the data feedback module is used for outputting the proportion of the sitting posture state duration and the poor sitting posture state duration as a sitting posture statistical result, selecting a preset feedback rule according to the body information, and outputting the sitting posture statistical result according to the preset feedback rule for feedback.
In a third aspect, an embodiment of the present invention further provides a computer device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the sitting posture monitoring and analyzing method as described in any one of the above embodiments.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps in the method for monitoring and analyzing a sitting posture as described in any one of the above embodiments.
The sitting posture analysis method has the advantages that the sitting posture analysis method for setting the judgment standard aiming at different detection objects and improving the identification precision by combining bone detection is adopted, so that a more systematic and scientific sitting posture judgment process can be realized, and meanwhile, the sitting posture evaluation method can give feedback to users based on the sitting posture evaluation result, so that the sitting posture habit problem of target people of different ages can be scientifically cultured is solved.
Drawings
FIG. 1 is a block flow diagram illustrating steps of a sitting posture monitoring and analyzing method according to an embodiment of the present invention;
FIG. 2 is a logic structure diagram of a sitting posture detecting and analyzing system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a flow chart illustrating steps of a sitting posture monitoring and analyzing method according to an embodiment of the present invention, wherein the analyzing method includes the following steps:
and S1, acquiring the body information of the detection object.
Further, the physical information of the detected object includes at least one of age and height.
For example, in the case that the detection object is a teenager child of different age groups, since the children of different age groups have different body development conditions, when sitting posture analysis is needed in sitting learning or other scenes requiring long sitting, adjustment should be performed according to the body condition, and objectively, the time that a teenager child of a larger age needs to sit is longer correspondingly because the learning requirements of the teenager child of different age groups are different, for example, the children of the age group that are not in school can sit for learning for a time that is far shorter than the teenager of the middle school. Therefore, the age and the height are used as data for analyzing the sitting posture, and a relatively accurate effect can be achieved.
S2, monitoring the sitting posture of the detection object in real time, and acquiring real-time monitoring data of the detection object, wherein the real-time monitoring data are provided with the body information, and the real-time monitoring data comprise a bone point image and sitting posture state duration of the detection object in the sitting posture state.
In the embodiment of the present invention, the method for acquiring the real-time monitoring data includes, but is not limited to, using a camera with a network connection function, an infrared data acquisition device, and the like, and the acquisition of the bone point image may be obtained by acquiring a normal RGB image and then marking the bone points therein by using a deep learning network.
S3, comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the time occupation ratio of the poor sitting posture state of the detection object according to the sitting posture judgment result.
Preferably, the preset database is a cloud database, the preset database comprises images of various sitting postures in different age groups and different heights, the skeleton point images can use an image comparison algorithm based on a deep learning network when being compared with the standard skeleton point images, and finally, an image comparison result is output to realize sitting posture detection. Under the condition, one end used for executing the analysis method is used as a data acquisition end, the preset database is arranged at the cloud end, the comparison process can be transferred from the acquisition end, and a large amount of rapid data comparison can be realized through stronger computing power of the cloud end, so that rapid sitting posture detection is realized.
Furthermore, the step of comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the length of time of the detection object in an adverse sitting posture state according to the sitting posture judgment result comprises the following substeps:
s31, selecting the standard skeleton point image with the same body information as the detected object in the preset database.
The standard bone point images with the same body information are images shot by a subject in the same age group or the same height as the detected subject or obtained in other ways, and it should be noted that the standard bone point images can be images in a correct sitting position or images in an incorrect sitting position.
S32, comparing the standard bone point image with the bone point image to obtain the sitting posture judgment result, wherein:
and if the comparison result is not consistent, the sitting posture judgment result is an improper sitting posture, the corresponding time length is accumulated to the improper sitting posture state time length of the detection object, and the improper sitting posture state time length is divided by the sitting posture state time length to obtain the improper sitting posture state time length ratio.
And S4, outputting the sitting posture state duration and the poor sitting posture state duration in proportion as a sitting posture statistical result, selecting a preset feedback rule according to the body information, and outputting the sitting posture statistical result according to the preset feedback rule for feedback.
Still further, the preset feedback rules include at least a first feedback rule and a second feedback rule, wherein:
when the first feedback rule is used for feedback, the body information of the detection object is in a preset first body information interval;
when the second feedback rule is used for feedback, the body information of the detection object is in a preset second body information interval;
wherein the first body information interval and the second body information interval do not coincide.
For example, for the detection objects in different age groups, the embodiment of the present invention provides different preset feedback criteria, for example, the first feedback rule is applicable to the target population aged between 3 and 6 years, and the second criterion rule is applicable to the target population aged between 7 and 12 years; or the interval of the height is taken as the selection condition of the preset feedback standard, for example, the first feedback rule is suitable for the target crowd with the height of 100-120 cm, and the second judgment standard is suitable for the target crowd with the age of 120-140 cm, etc.
In the embodiment of the present invention, according to different preset feedback rules, the sitting posture duration and the poor sitting posture duration may be further output as data sources to obtain different feedback information, for example, for the detection object aged from 3 to 6 years old, the sitting posture status of the detection object, which needs to be maintained for 1 hour, is set to learn a task, and if the sitting posture duration is less than 1 hour, the sitting posture statistical result may further feed back the data of the detection object with insufficient concentration; on the other hand, the sitting posture judgment result further feeds back data that the sitting posture habit of the test subject needs further training according to whether the poor sitting posture state duration ratio is lower than a certain percentage, for example, the target population aged 3 to 6 years has more improvement degree than the target population aged other age groups and has a higher rate of not developing good sitting posture habit, and when feeding back, if the poor sitting posture state duration ratio is set to be less than 20% of the sitting posture state duration ratio, the test subject can be given positive encouragement type feedback; if the poor sitting posture time length is set to be more than or equal to 20% of the sitting posture time length, the detection object can be given alarm type feedback. Therefore, under the condition of different physical information, the fed-back data of the sitting posture statistical result can be provided with more items according to different actual needs.
Still further, the analysis method further comprises the steps of:
setting the maximum occupancy ratio of sitting posture state and poor sitting posture according to the body information of the detection object, and reminding the detection object according to the maximum occupancy ratio of sitting posture state and poor sitting posture, wherein:
when the sitting posture state duration of the detection object is longer than the sitting posture state maximum duration matched with the body information of the detection object, sending a prompt to the detection object;
and when the bad sitting posture occupation ratio of the detection object is larger than the maximum bad sitting posture occupation ratio which is consistent with the body information of the detection object, sending a prompt to the detection object.
In the embodiment of the invention, the process of reminding the detection object is different from the step of counting the whole sitting posture state and then carrying out the sitting posture counting result, and the reminding process is real-time. Illustratively, the method of alerting may be at least one of a voice alert, a vibration alert, and a screen display alert.
Still further, the analysis method further comprises the steps of:
and when the sitting posture judgment result shows that the sitting posture of the detection object is an undesirable sitting posture, reminding is given to the detection object.
The step of outputting the sitting posture statistical result for feedback according to the preset feedback rule may also be implemented in various ways, and in practical application, the sitting posture statistical result may be fed back to the detection object through an entity unit implementing the method of the embodiment of the present invention, or the sitting posture statistical result may be fed back to a group such as a parent through a communication network, that is, in the embodiment of the present invention, the sitting posture statistical result is used to remind the detection object to perform sitting posture adjustment, and meanwhile, data may also be sent to the parent or a guardian of the detection object, so as to play an active supervision role, and meanwhile, when the sitting posture statistical result is fed back to the parent or the guardian, a standard data report may also be generated according to the sitting posture statistical result, so as to facilitate analysis.
The sitting posture evaluation method has the advantages that the method for setting the judgment standard aiming at different detection objects and improving the identification precision by combining bone detection is adopted, so that a more systematic and scientific sitting posture judgment process can be realized, and meanwhile, the sitting posture evaluation method can give feedback to users based on the sitting posture evaluation result, so that the problem of the sitting posture habit of the target people for scientific cultivation is solved.
Referring to fig. 2, fig. 2 is a logic structure diagram of a sitting posture detecting and analyzing system according to an embodiment of the present invention, where the sitting posture detecting and analyzing system 200 includes:
a body information acquisition module 201 for acquiring body information of the detection object;
the sitting posture monitoring module 202 is configured to monitor the sitting posture of the detection object in real time, and acquire real-time monitoring data of the detection object, where the real-time monitoring data includes the body information, and the real-time monitoring data includes a bone point image and a sitting posture state duration when the detection object is in a sitting posture state;
the sitting posture judgment module 203 is used for comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the duration ratio of the poor sitting posture state of the detection object according to the sitting posture judgment result;
and the data feedback module 204 is configured to output the ratio of the sitting posture state duration to the poor sitting posture state duration as a sitting posture statistical result, select a preset feedback rule according to the body information, and output the sitting posture statistical result according to the preset feedback rule for feedback.
The sitting posture detecting and analyzing system 200 can implement the steps of the sitting posture monitoring and analyzing method in the above embodiments, and can implement the same technical effects, which are described in the above embodiments and are not repeated herein.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a computer device provided in an embodiment of the present invention, where the computer device 300 includes: a memory 302, a processor 301, and a computer program stored on the memory 302 and executable on the processor 301.
The processor 301 calls the computer program stored in the memory 302 to execute the steps of the sitting posture monitoring and analyzing method provided by the embodiment of the present invention, please refer to fig. 1, which specifically includes:
and S1, acquiring the body information of the detection object.
Still further, the physical information of the detection object includes at least one of age and height.
S2, monitoring the sitting posture of the detection object in real time, and acquiring real-time monitoring data of the detection object, wherein the real-time monitoring data are provided with the body information, and the real-time monitoring data comprise a bone point image and sitting posture state duration of the detection object in the sitting posture state.
S3, comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the time occupation ratio of the poor sitting posture state of the detection object according to the sitting posture judgment result.
Furthermore, the step of comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the length of time of the detection object in an adverse sitting posture state according to the sitting posture judgment result comprises the following substeps:
selecting the standard skeleton point image with the same body information as the detected object in the preset database;
comparing the skeleton point image with the standard skeleton point image to obtain the sitting posture judgment result, wherein:
and if the comparison result is not consistent, the sitting posture judgment result is an improper sitting posture, the corresponding time length is accumulated to the improper sitting posture state time length of the detection object, and the improper sitting posture state time length is divided by the sitting posture state time length to obtain the improper sitting posture state time length ratio.
And S4, outputting the sitting posture state duration and the poor sitting posture state duration in proportion as a sitting posture statistical result, selecting a preset feedback rule according to the body information, and outputting the sitting posture statistical result according to the preset feedback rule for feedback.
Still further, the preset feedback rules include at least a first feedback rule and a second feedback rule, wherein:
when the first feedback rule is used for feedback, the body information of the detection object is in a preset first body information interval;
when the second feedback rule is used for feedback, the body information of the detection object is in a preset second body information interval;
wherein the first body information interval and the second body information interval do not coincide.
Still further, the analysis method further comprises the steps of:
setting the maximum occupancy ratio of sitting posture state and poor sitting posture according to the body information of the detection object, and reminding the detection object according to the maximum occupancy ratio of sitting posture state and poor sitting posture, wherein:
when the sitting posture state duration of the detection object is longer than the sitting posture state maximum duration matched with the body information of the detection object, sending a prompt to the detection object;
and when the bad sitting posture occupation ratio of the detection object is larger than the maximum bad sitting posture occupation ratio which is consistent with the body information of the detection object, sending a prompt to the detection object.
Still further, the analysis method further comprises the steps of:
and when the sitting posture judgment result shows that the sitting posture of the detection object is an undesirable sitting posture, reminding is given to the detection object.
Furthermore, the preset database is a cloud database.
The computer device 300 according to the embodiment of the present invention can implement the steps in the method for monitoring and analyzing the sitting posture in the above embodiments, and can implement the same technical effects, and reference is made to the description in the above embodiments, and details are not repeated herein.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process and step in the method for monitoring and analyzing a sitting posture provided in the embodiment of the present invention, and can implement the same technical effect, and in order to avoid repetition, the detailed description is omitted here.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program, which may be stored in a computer readable storage medium and executed by a computer to implement the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, which are illustrative, but not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A sitting posture monitoring and analyzing method is characterized by comprising the following steps:
acquiring body information of a detection object;
monitoring the sitting posture of the detection object in real time to obtain real-time monitoring data of the detection object, wherein the real-time monitoring data is provided with the body information and comprises a bone point image and sitting posture state duration of the detection object in a sitting posture state;
comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and meanwhile, calculating the duration ratio of the poor sitting posture state of the detection object according to the sitting posture judgment result;
and taking the ratio of the sitting posture state duration to the bad sitting posture state duration as a sitting posture statistical result, selecting a preset feedback rule according to the body information, and outputting and feeding back the sitting posture statistical result according to the preset feedback rule.
2. The sitting posture monitoring and analyzing method as claimed in claim 1, wherein the physical information of the subject includes at least one of age and height.
3. The sitting posture monitoring and analyzing method as claimed in claim 2, wherein the step of comparing the skeleton point image with a standard skeleton point image corresponding to the body information in a preset database to obtain a sitting posture judgment result of the detection object, and calculating the time ratio of the poor sitting posture state of the detection object according to the sitting posture judgment result comprises the following substeps:
selecting the standard skeleton point image with the same body information as the detected object in the preset database;
comparing the skeleton point image with the standard skeleton point image to obtain the sitting posture judgment result, wherein:
and if the comparison result is not consistent, the sitting posture judgment result is an improper sitting posture, the corresponding time length is accumulated to the improper sitting posture state time length of the detection object, and the improper sitting posture state time length is divided by the sitting posture state time length to obtain the improper sitting posture state time length ratio.
4. The sitting posture monitoring and analyzing method as claimed in claim 3, wherein the preset feedback rules comprise at least a first feedback rule and a second feedback rule, wherein:
when the first feedback rule is used for feedback, the body information of the detection object is in a preset first body information interval;
when the second feedback rule is used for feedback, the body information of the detection object is in a preset second body information interval;
wherein the first body information interval and the second body information interval do not coincide.
5. A method for monitoring and analyzing a sitting posture as claimed in claim 3, wherein said analyzing method further comprises the steps of:
setting the maximum occupancy ratio of sitting posture state and bad sitting posture according to the body information of the detection object, and reminding the detection object according to the maximum occupancy ratio of sitting posture state and bad sitting posture, wherein:
when the sitting posture state duration of the detection object is longer than the sitting posture state maximum duration matched with the body information of the detection object, sending a prompt to the detection object;
and when the bad sitting posture occupation ratio of the detection object is larger than the maximum bad sitting posture occupation ratio which is consistent with the body information of the detection object, sending a prompt to the detection object.
6. A method for monitoring and analyzing a sitting posture as claimed in claim 3, wherein said analyzing method further comprises the steps of:
and when the sitting posture judgment result shows that the sitting posture of the detection object is an undesirable sitting posture, reminding is given to the detection object.
7. The sitting posture monitoring and analyzing method as claimed in claim 1, wherein the predetermined database is a cloud database.
8. A sitting posture detecting and analyzing system, comprising:
the body information acquisition module is used for acquiring body information of the detection object;
the sitting posture monitoring module is used for monitoring the sitting posture of the detection object in real time to obtain real-time monitoring data of the detection object, wherein the real-time monitoring data is provided with the body information, and the real-time monitoring data comprises a bone point image and sitting posture state duration of the detection object in a sitting posture state;
the sitting posture judging module is used for comparing the bone point image with a standard bone point image corresponding to the body information in a preset database to obtain a sitting posture judging result of the detection object, and meanwhile, calculating the duration ratio of the bad sitting posture state of the detection object according to the sitting posture judging result;
and the data feedback module is used for outputting the proportion of the sitting posture state duration and the poor sitting posture state duration as a sitting posture statistical result, selecting a preset feedback rule according to the body information, and outputting the sitting posture statistical result according to the preset feedback rule for feedback.
9. A computer device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing the steps in the method for monitoring and analyzing a sitting posture as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for monitoring and analyzing a sitting posture according to any one of claims 1 to 7.
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