CN112861704A - Children writing analysis system and method based on sensor analysis and image processing - Google Patents
Children writing analysis system and method based on sensor analysis and image processing Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 72
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 11
- 238000005286 illumination Methods 0.000 claims abstract description 9
- 210000003128 head Anatomy 0.000 claims description 17
- 210000002659 acromion Anatomy 0.000 claims description 15
- 230000003287 optical effect Effects 0.000 claims description 11
- 210000001015 abdomen Anatomy 0.000 claims description 6
- 210000001364 upper extremity Anatomy 0.000 claims description 4
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
Abstract
The invention discloses a children writing analysis system based on sensor analysis and image processing, which comprises a basic information setting module, a target information acquisition module, a writing environment analysis module and a sitting posture analysis module, wherein the basic information setting module is used for setting basic information of a child; the basic information setting module is used for setting basic information of children and basic information of writing environments; the target information acquisition module is used for acquiring child information and environment information; the writing environment analysis module is used for calculating the illumination value of the book of the child; the sitting posture analysis module is used for calculating the sitting posture rationality of the children, the height rationality of the table and the chair and the concentration degree of the children; the invention realizes the detection of the height appropriateness of the children's desk and chair, the detection of the writing environment of the children, the detection of the sitting posture of the children and the analysis of the concentration degree of the children, helps the children to learn healthily, improves the learning method and improves the learning efficiency.
Description
Technical Field
The invention belongs to the technical field of image processing, and particularly relates to a children writing analysis system and method based on sensor analysis and image processing.
Background
The development of the image recognition technology based on the neural network is rapid at present, and the technical scheme for face recognition and trunk modeling is mature. And the computing performance of the mobile equipment is more and more powerful, and the mobile equipment can completely support the real-time image processing and the deep learning identification of a high frame rate. In addition, products for assisting parents and helping children to learn are gradually enriched on the market. However, no solution is available for analyzing and correcting the sitting posture of the child and analyzing the learning concentration degree of the child.
Therefore, it is an urgent need to solve the problem of the art to provide a child writing analysis system and method focusing on the sitting posture and correction of the child to ensure the correct writing habit and healthy writing environment of the child.
Disclosure of Invention
In view of the above, the invention provides a children writing analysis system and method based on sensor analysis and image processing, which realize the detection of the suitability of the height of a children table and chair, the detection of the sitting posture of children and the analysis of the concentration degree of children, help children to learn healthily, improve the learning method and improve the learning efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme:
a children writing analysis system based on sensor analysis and image processing comprises a basic information setting module, a target information acquisition module, a writing environment analysis module and a sitting posture analysis module;
basic information setting module: the system is used for setting basic information of children and basic information of writing environment;
the target information acquisition module: the system is used for collecting child information and environment information;
the writing environment analysis module: the device is used for calculating the illuminance value of the book of the child;
a sitting posture analysis module: the method is used for calculating the reasonability of the sitting posture of the child, the reasonability of the height of the table and the chair and the concentration degree of the child.
Preferably, the children writing analysis system based on sensor analysis and image processing further comprises a guide module, wherein the guide module is used for guiding a user to complete basic information setting and guiding the user to place a target information acquisition module, so that the target information acquisition module can simultaneously comprise a desktop and the upper limbs and the head of a child; the child basic information comprises gender and age, and the writing environment basic information comprises information of lighting equipment and information of width and height of tables and chairs.
Preferably, the target information acquisition module comprises an optical sensor and an image acquisition device, the lux value of the children book is acquired by the optical sensor and returned to the writing environment analysis module, and the sitting posture image is acquired by the image acquisition device and returned to the sitting posture analysis module.
A children writing analysis method based on sensor analysis and image processing,
setting basic information, namely setting basic information of children and basic information of writing environment;
acquiring target information, namely acquiring a lux value of a book of the child through an optical sensor, and acquiring a sitting posture image through an image acquisition device;
the writing environment analysis is carried out, and the illumination value of the book of the child is calculated according to the return value of the optical sensor and the set information of the lighting equipment;
the position of sitting analysis utilizes FCN image semantic analysis algorithm according to the position of sitting image that image acquisition device discontinuity was gathered, separates the background and the prospect in the position of sitting, extracts desk part and children's part in the picture, calculates the rationality of children's table chair width height, children's position of sitting rationality and children's concentration degree.
Preferably, the method for calculating the illuminance value of the child book includes querying an illuminance distribution equation and an experience curve of the corresponding lighting device according to the lighting device information set by the user, and estimating the illuminance value of the book position right below the child according to the return value of the optical sensor and the width and height information of the table and the chair.
Preferably, the method for analyzing the concentration degree of the child includes extracting the upper body of the child from the sitting posture image by using a RetinaFace algorithm to perform face detection, performing 3D 468-point feature point detection on the face by using a BlazeFace algorithm, and analyzing the concentration degree of the child by using eye feature points and a head 3D space Euler angle.
Preferably, the position of sitting analysis result of the position of sitting image of gathering in a time quantum gathers, forms children's position of sitting and concentration degree report, according to children's position of sitting and concentration degree statistics report, sit for a long time or the distraction or detect long-time position of sitting bad at children, send the warning, in time correct children's bad position of sitting to and help children keep concentration degree and the combination of ease, avoid excessive fatigue, improve learning efficiency.
Preferably, the BlazePose algorithm is used for extracting the upper body of the child from the sitting posture image to carry out 3D space torso modeling; the trunk model of the 3D space comprises a left acromion vertex, a left elbow vertex, a left palm vertex and a connecting line; a right acromion vertex, a right elbow vertex, a right palm vertex, and a connecting line; connecting lines of the vertexes of the left and right acromions; the vertex of the lower end of the left side of the abdomen and a connecting line with the vertex of the left acromion; the lower end vertex on the right side of the abdomen and a connecting line with the vertex of the right acromion.
Preferably, according to a trunk model and a desk part of a 3D space of the child and the average head size of the same-year-old children, the vertical height between the eyes of the child and the desktop, the elbow angle and the shoulder shrugging degree of the child are calculated by utilizing a space proportional relation, and the reasonability of the width and the height of the child desk and the chair is further analyzed.
Preferably, the torso model according to children's 3D space calculates children's neck angle, elbow angle, the gradient of truck, the distance at truck and desktop edge, and then the rationality of analysis children's position of sitting.
The invention has the beneficial effects that:
the invention analyzes the writing environment of the children, ensures that the children can learn in a healthy and comfortable environment, provides a high-performance and high-accuracy statistical report of the sitting posture and the concentration degree of the children, timely reminds the children to correct the sitting posture and have a rest according to the statistical report of the sitting posture and the concentration degree, avoids fatigue of bodies and brains, pays attention to the concentration degree of the children, can timely remind the children to concentrate on the spirit, is beneficial to improving the learning mode and improving the efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of the child writing analysis of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
A children writing analysis system based on sensor analysis and image processing comprises a basic information setting module, a target information acquisition module, a writing environment analysis module and a sitting posture analysis module;
the basic information setting module is used for setting basic information of children and basic information of writing environments;
the target information acquisition module is used for acquiring child information and environment information;
the writing environment analysis module is used for calculating the illumination value of the book of the child;
the sitting posture analysis module is used for calculating the sitting posture rationality of the children, the width and height rationality of the table and the chair and the concentration degree of the children.
In another embodiment, the system further comprises a guiding module, wherein the guiding module is used for guiding a user to complete basic information setting and target information acquisition when the system is used for the first time, the basic information of children comprises gender and age, and the basic information of writing environment comprises information of lighting equipment and information of width and height of tables and chairs; the desktop is used for guiding a user to reasonably place the target information acquisition module, so that the target information acquisition module can simultaneously comprise the desktop and the upper limbs and the head of the child.
The information of the lighting apparatus includes, among others, the type of the apparatus (desk lamp, ceiling lamp, etc.), the shape (bar, circle, square, etc.), and the light source (LED lamp, fluorescent lamp, incandescent lamp, etc.).
In another embodiment, the target information acquisition module comprises a light sensor and an image acquisition device, the lux value of the child book is acquired by the light sensor and returned to the writing environment analysis module, and the sitting posture image is acquired by the image acquisition device and returned to the sitting posture analysis module.
In another embodiment, the writing environment module comprises a lighting device database, an illumination distribution equation and an experience curve of corresponding lighting devices are inquired in a local lighting device database according to lighting device information set by a user, an illumination value of a book position right below a child is estimated according to a return value of a light sensor and width information of a desk, and whether the ambient brightness meets the standard or not is estimated and judged according to national standard of leaving a desk.
A children writing analysis method based on sensor analysis and image processing comprises,
setting basic information, namely setting basic information of children and basic information of writing environment;
acquiring target information, namely acquiring a lux value of a book of the child through an optical sensor, and acquiring a sitting posture image through an image acquisition device;
the writing environment analysis is carried out, and the illumination value of the book of the child is calculated according to the return value of the optical sensor and the set information of the lighting equipment;
the position of sitting analysis utilizes FCN image semantic analysis algorithm according to the position of sitting image that image acquisition device discontinuity was gathered, separates the background and the prospect in the position of sitting, extracts desk part and children's part in the picture, calculates the rationality of children's table chair width height, children's position of sitting rationality and children's concentration degree.
Wherein, writing environment analysis and sitting posture analysis are both local calculation and are finished in real time. Only a small amount of analyzed abstract data is recorded for real-time prompt and data statistics, and pictures are not saved. The privacy of the user is protected, and the storage space of the mobile device is rarely occupied.
In another embodiment, a Retina face algorithm is used for extracting a child part from a sitting posture image to perform face detection, a Blazeface algorithm is used for performing 3D 468-point feature point detection on a face to generate a 3D model of a child face feature point, a head 3D space Euler angle is calculated according to the 3D model of the face feature point, an eye feature point and the head 3D space Euler angle are extracted to calculate the angle of the child sight line in real time, and then the concentration degree of the child is judged.
In another embodiment, the sitting posture analysis results of the sitting posture images collected in a time period are collected to form a child sitting posture and concentration degree report, and according to the child sitting posture and concentration degree report, when the child sits for a long time or is distracted or detects a long-time bad sitting posture, a reminder is sent to correct the bad sitting posture of the child in time, and the child is helped to keep the combination of concentration degree and work and rest, so that the overfatigue is avoided, and the learning efficiency is improved.
In another embodiment, a children part is extracted from a sitting posture image by utilizing a BlazePose algorithm to carry out trunk modeling in a 3D space, wherein a trunk model in the 3D space comprises a left acromion fixed point, a left elbow vertex, a left palm vertex and connecting lines of the three points; the vertex of the right acromion, the vertex of the right elbow, the vertex of the right palm and connecting lines of the three points; connecting lines of the vertexes of the left and right acromions; the vertex of the lower end of the left side of the abdomen and a connecting line with the left acromion; the vertex of the lower right end of the abdomen and a connecting line with the right acromion.
In another embodiment, the average size of the head of a child aged the same as the age and sex is obtained through the set age and sex of the child, the vertical height between the eyes of the child and the desktop, the elbow angle and the shoulder shrugging degree of the child are calculated by combining the trunk model and the desk part of the 3D space of the child, and the reasonability of the height of the child table and the chair is further analyzed. The appropriate seat height, when the body is sitting straight, should be the table top height near the diaphragm. And (3) judging the height of the table top properly, enabling the child to sit right (head right and body straight), enabling shoulders to be flush when the two hands are relaxed and horizontally placed on the table top, and enabling the height of the table top to be correspondingly too high and too low if the two shoulders rise or fall too low through the analysis of the 3D trunk model.
The size of the space proportion is the proportion of the head size of the child in the trunk model to the average head size of the same-age same-class child, and corresponding actual data can be calculated by combining image data extracted from the trunk model and the desk part with the space proportion. The size of the space proportion is a, the vertical height between the eyes of the child and the desktop in the images extracted from the trunk model and the desk part is h, and the actual vertical height between the eyes of the child and the desktop is a x h.
In another embodiment, the neck angle, elbow angle, torso inclination and the distance between the torso and the table edge of the child are calculated according to the torso model of the 3D space of the child, so as to analyze whether the sitting posture of the child is reasonable. The standard sitting posture is driven to be 5-10 cm away from a desk, the trunk and the head and neck are in one line and perpendicular to the ground, the head and neck can be slightly inclined forwards (within 5 degrees), the head and neck are not forwards detected, and the shoulders are flush and do not rise.
The working principle of the invention is as follows:
s01, when the children are used for the first time, the users are prompted to set basic information including the sex and age of the children, the information of common lighting equipment, the width of a desk and the like
S02, when the device is used, guiding a user to collect and place the image at a proper position according to a prompt, so that the collected image can simultaneously comprise a desktop and the upper limbs and the head of a child;
s03, intermittently reading an illumination value acquired by an optical sensor on the mobile equipment, and estimating and judging whether the ambient brightness reaches the standard;
s04, segmenting image lines by using an FCN image semantic analysis algorithm, separating a background from a foreground, and extracting respective pictures of a desktop of a child and a desktop of a desk;
s05, carrying out face detection on the extracted picture of the upper body of the child by using a RetinaFace algorithm, and extracting face characteristic points by using a BlazeFace algorithm;
s06, carrying out 3D space trunk modeling on the extracted upper body of the child by using a BlazePose algorithm;
s07, analyzing whether the height of the table and chair is reasonable or not by combining a trunk model of a 3D space of the child, basic information of the child and the width of a table top;
s08, analyzing the sitting posture state of the child through a trunk model of the 3D space of the child;
s09, analyzing the real-time concentration degree of the child according to the model of the child face feature points;
and S10, recording the real-time processing and analyzing result of each acquisition graph. And after a period of time, counting the recorded information and providing a child learning sitting posture and concentration degree counting report. Sit for a long time or the attention is dispersed at children, or detect that long-time position of sitting is bad, send the warning, in time correct children's bad position of sitting to and help children keep concentrating on the degree and the combination of ease, avoid excessive fatigue.
The invention analyzes the writing environment of the children, ensures that the children can learn in a healthy and comfortable environment, provides a high-performance and high-accuracy statistical report of the sitting posture and concentration degree of the children during learning, timely reminds the children to correct the sitting posture and have a rest according to the report, avoids fatigue of the body and brain and focuses on the concentration degree of the children, can timely remind the children to concentrate on the spirit, is beneficial to improving the learning mode and improving the efficiency.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A children writing analysis system based on sensor analysis and image processing is characterized by comprising a basic information setting module, a target information acquisition module, a writing environment analysis module and a sitting posture analysis module;
the basic information setting module is used for setting basic information of children and basic information of writing environments;
the target information acquisition module is used for acquiring child information and environment information;
the writing environment analysis module is used for calculating the illumination value of the book of the child;
the sitting posture analysis module is used for calculating the reasonability of the sitting posture of the child, the reasonability of the height of the table and the chair and the concentration degree of the child.
2. The children writing system based on sensor analysis and image processing as claimed in claim 1, further comprising a guiding module for guiding a user to complete basic information setup and for guiding the user to place a target information collecting module, so that the target information collecting module can simultaneously contain a desktop and the upper limbs and head of a child; the child basic information comprises gender and age, and the writing environment basic information comprises information of lighting equipment and information of width and height of tables and chairs.
3. The children writing system based on sensor analysis and image processing as claimed in claim 1, wherein the target information collecting module comprises a light sensor and an image collecting device, the lux value of the children book is obtained by the light sensor and returned to the writing environment analyzing module, and the sitting posture image is obtained by the image collecting device and returned to the sitting posture analyzing module.
4. A children writing analysis method based on sensor analysis and image processing is characterized in that,
setting basic information, namely setting basic information of children and basic information of writing environment;
acquiring target information, namely acquiring a lux value of a book of the child through an optical sensor, and acquiring a sitting posture image through an image acquisition device;
the writing environment analysis is carried out, and the illumination value of the book of the child is calculated according to the return value of the optical sensor and the set information of the lighting equipment;
the position of sitting analysis, according to the position of sitting image that image acquisition device discontinuity was gathered, background and prospect in the separation position of sitting extract the desk part and the children part in the picture, calculate the wide high rationality of children's table chair, children's position of sitting rationality and children and concentrate on the degree.
5. The method for analyzing writing of children based on sensor analysis and image processing as claimed in claim 4, wherein the method for calculating the illuminance value of the book of children comprises querying the illuminance distribution equation and the empirical curve of the corresponding lighting device according to the lighting device information set by the user, and estimating the illuminance value of the book position right below the child according to the return value of the optical sensor and the width and height information of the table and chair.
6. The method for analyzing children's writing based on sensor analysis and image processing as claimed in claim 4, wherein the method for analyzing children's concentration includes extracting the upper body of the child in the sitting posture image by utilizing RetinaFace algorithm to detect the face, performing 3D 468 point feature point detection on the face by utilizing BlazeFace algorithm, and analyzing the children's concentration by the eye feature point and the head 3D space Euler angle.
7. The method for analyzing children writing based on sensor analysis and image processing as claimed in claim 6, wherein the sitting posture analysis results of the sitting posture images collected in a period of time are collected to form a statistical report of the sitting posture and concentration degree of the children, and a warning is given when the children sit for a long time or have distracted or have detected a sitting posture badness for a long time according to the report of the sitting posture and concentration degree of the children.
8. The method for analyzing the writing of children based on sensor analysis and image processing as claimed in claim 4, wherein the BlazePose algorithm is used to extract the upper body of the child from the sitting image for 3D space torso modeling; the trunk model of the 3D space comprises a left acromion vertex, a left elbow vertex, a left palm vertex and a connecting line; a right acromion vertex, a right elbow vertex, a right palm vertex, and a connecting line; connecting lines of the vertexes of the left and right acromions; the vertex of the lower end of the left side of the abdomen and a connecting line with the vertex of the left acromion; the lower end vertex on the right side of the abdomen and a connecting line with the vertex of the right acromion.
9. The method for analyzing children's writing based on sensor analysis and image processing according to claim 8, wherein the reasonableness of the width height of the children's desk and chair is analyzed by calculating the vertical height of the eyes and the desk surface of the children, the elbow angle and the shoulder shrugging degree of the children according to the torso model and desk portion of the children in 3D space and the average head size of the children of the same age.
10. The method for analyzing the writing of the children based on the sensor analysis and the image processing as claimed in claim 8, wherein the neck angle, the elbow angle, the inclination of the trunk and the distance between the trunk and the edge of the table top of the children are calculated according to the trunk model of the 3D space of the children, so as to analyze the reasonability of the sitting posture of the children.
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