CN112587130A - System and method for nursing joint movement - Google Patents

System and method for nursing joint movement Download PDF

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CN112587130A
CN112587130A CN202011405768.9A CN202011405768A CN112587130A CN 112587130 A CN112587130 A CN 112587130A CN 202011405768 A CN202011405768 A CN 202011405768A CN 112587130 A CN112587130 A CN 112587130A
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child
information
image information
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高红
王婷婷
万云
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Nantong First Peoples Hospital
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis

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Abstract

The invention discloses a system and a method for nursing joint movement, wherein the system further comprises: acquiring first image information, wherein the first image information is image information of first child activity shot by a camera installed at home; acquiring second image information, wherein the second image information is image information of the activity of a first child shot by a camera installed in a kindergarten where the first child is located; inputting the first image information and the second image information into a first training model; obtaining output information of the first training model; obtaining a first result according to the output information; judging whether the first result meets a first preset threshold value or not; and if the first result does not meet the first preset threshold value, obtaining a first instruction, wherein the first instruction is used for nursing the joint of the first child. The technical problem that the joint problems of children are not found in time too early so that the later-stage joint diseases are difficult to treat is solved.

Description

System and method for nursing joint movement
Technical Field
The invention relates to the field of joint care, in particular to a system and a method for nursing joint activities.
Background
The children are expected by nationalities in the future of China, the healthy growth of the children is vital, and the joint nursing relationship of the children can be developed smoothly by physical training of the children, so that the problem of joint dysplasia of the children can be found as early as possible, the children can be treated as early as possible, and the problem is avoided.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
since it is traditionally difficult to detect problems with the development of joints in children, the optimal treatment age may be missed by the time of later findings, which may be late.
Disclosure of Invention
The embodiment of the application solves the technical problem that the joint disease in the later stage is difficult to treat due to the fact that the joint problem of children is not found out in a timely and early manner, achieves the technical effect of finding out the joint disease of the children in a timely and early manner, and further treats and recovers as early as possible.
In view of the above, embodiments of the present application provide a system and method for nursing joint activities.
In a first aspect, an embodiment of the present application provides a system for caring for joint movement, the system comprising: the first obtaining unit is used for obtaining first image information, and the first image information is image information of first child activities shot by a camera installed at home; a second obtaining unit, configured to obtain second image information, where the second image information is image information of a movement of the first child captured by a camera installed in a kindergarten where the first child is located; a first input unit, configured to input the first image information and the second image information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the second image information and identification information used for identifying whether the first child walks normally; a third obtaining unit, configured to obtain output information of the first training model, where the output information includes whether the first child is walking normally; a fourth obtaining unit configured to obtain a first result according to the output information; a first judging unit, configured to judge whether the first result satisfies a first preset threshold; a fifth obtaining unit, configured to obtain a first instruction if the first result does not satisfy the first preset threshold, where the first instruction is to care for a joint of the first child.
In another aspect, the present application also provides a method of treating joint motion, the method comprising: acquiring first image information, wherein the first image information is image information of first child activity shot by a camera installed at home; acquiring second image information, wherein the second image information is image information of the activity of the first child shot by a camera installed in a kindergarten where the first child is located; inputting the first image information and the second image information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the second image information and identification information used for identifying whether the first child walks normally; obtaining output information of the first training model, wherein the output information comprises whether the first child walks normally; obtaining a first result according to the output information; judging whether the first result meets a first preset threshold value or not; if the first result does not meet the first preset threshold, obtaining a first instruction, wherein the first instruction is to care for the joint of the first child.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the technical effects that the moving image information of the first child at home and the moving image information of the first child at a kindergarten are obtained through the camera respectively, mutual comparison can be formed, the output result, namely whether the first child normally walks or not, is more accurate through continuous training of the training model, whether joint nursing is carried out on the first child or not is judged through accurate prejudgment of the output result, and early prevention and early treatment are achieved, and meanwhile nursing activities of joints of the children are carried out are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart illustrating a method of managing joint movement according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a system for managing joint movement according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a first input unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a first determining unit 16, a fifth obtaining unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application solves the technical problem that the joint disease in the later stage is difficult to treat due to the fact that the joint problem of children is not found out in a timely and early manner, achieves the technical effect of finding out the joint disease of the children in a timely and early manner, and further treats and recovers as early as possible.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The children are expected by nationalities in the future of China, the healthy growth of the children is vital, and the joint nursing relationship of the children can be developed smoothly by physical training of the children, so that the problem of joint dysplasia of the children can be found as early as possible, the children can be treated as early as possible, and the problem is avoided. Since it is traditionally difficult to detect problems with the development of joints in children, the optimal treatment age may be missed by the time of later findings, which may be late.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
an embodiment of the present application provides a system for caring for joint motion, the system comprising: the first obtaining unit is used for obtaining first image information, and the first image information is image information of first child activities shot by a camera installed at home; a second obtaining unit, configured to obtain second image information, where the second image information is image information of a movement of the first child captured by a camera installed in a kindergarten where the first child is located; a first input unit, configured to input the first image information and the second image information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the second image information and identification information used for identifying whether the first child walks normally; a third obtaining unit, configured to obtain output information of the first training model, where the output information includes whether the first child is walking normally; a fourth obtaining unit configured to obtain a first result according to the output information; a first judging unit, configured to judge whether the first result satisfies a first preset threshold; a fifth obtaining unit, configured to obtain a first instruction if the first result does not satisfy the first preset threshold, where the first instruction is to care for a joint of the first child.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a method of caring for joint motion, wherein the method includes:
step S100: acquiring first image information, wherein the first image information is image information of first child activity shot by a camera installed at home;
specifically, in order to obtain joint development information of a child, image information of a first child activity captured by a camera installed at home, which is able to perform an activity in a place such as a bedroom or a living room, can be obtained when the child is active, and a further determination can be made by obtaining a specific motion or the like during the activity.
Step S200: acquiring second image information, wherein the second image information is image information of the activity of the first child shot by a camera installed in a kindergarten where the first child is located;
specifically, the second image information is image information of the activity of the first child captured by a camera installed in a kindergarten where the first child is located, and the first child can move in a place such as a living room when the first child is in the kindergarten, and then capture and record the movement of the first child.
Step S300: inputting the first image information and the second image information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the second image information and identification information used for identifying whether the first child walks normally;
specifically, the first training model is a model for continuous self-training learning according to training data, and further, the first training model is a Neural network model, which is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely interconnecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. Training based on a large amount of training data, wherein each set of training data in the training data comprises the first image information, the second image information and identification information for identifying whether the first child walks normally; the neural network model is continuously self-corrected, and when the output information of the neural network model reaches a preset accuracy rate/reaches a convergence state, the supervised learning process is ended. Through data training of the neural network model, the neural network model can process the input data more accurately, and the output information of whether the first child walks normally is more accurate. And on the basis of the characteristic that the data is more accurate after the training model is trained, inputting the first image information and the second image information into a first training model, and accurately obtaining the information whether the first child walks normally or not through the output information of the training model, so that the judgment result is more accurate, and the technical effect of accurately obtaining whether the joint is nursed or not is achieved.
Step S400: obtaining output information of the first training model, wherein the output information comprises whether the first child walks normally;
step S500: obtaining a first result according to the output information;
specifically, according to the information whether the first child walks normally or not output by the training model, a first result can be obtained, wherein the first result has two conditions, namely, the first child walks normally, and the second child walks abnormally.
Step S600: judging whether the first result meets a first preset threshold value or not;
step S700: if the first result does not meet the first preset threshold, obtaining a first instruction, wherein the first instruction is to care for the joint of the first child.
Specifically, the first result is judged, whether the first result meets a first preset threshold value or not is judged, whether the first child walks normally or not is judged, if the first result does not meet the first preset threshold value, namely the first child has a walking abnormal state, a first instruction is obtained, the first instruction is used for nursing joints of the first child, and therefore delay of treatment due to too late discovery is avoided.
Further, second image information is obtained, where the second image information is image information of the activity of the first child captured by a camera installed in a kindergarten where the first child is located, and step S200 in the embodiment of the present application further includes:
step S210: obtaining facial recognition information of the first child;
step S220: screening out image information of the first child activity according to the facial recognition information and the second image information;
step S230: processing the image information of the first child activity.
Specifically, in order to specifically obtain the activity scene of the first child in the kindergarten, the facial recognition information of the first child may also be obtained, the facial recognition information of the first child includes facial information such as facial features and facial complexion, and then the image information of the first child activity may be screened out according to the facial recognition information and the second image information, because the kindergarten activity is collective activity, the first child needs to be identified from a plurality of children, the image information of the first child activity may be screened out through the facial recognition information of the first child, and the image information of the first child activity may be processed to make the image information clearer, so that it may be accurately determined whether the first child is walking normally, and the activity information of the first child may be accurately screened out, the technical effects of accurately judging the walking posture of the first child and further judging whether the walking is abnormal are achieved.
Further, after the image information of the first child activity is filtered out according to the facial recognition information and the second image information, step S220 in this embodiment of the present application further includes:
step S221: obtaining activity intensity information of the first child according to the image information of the first child activity;
step S222: judging whether the activity intensity information of the first child meets a second preset threshold value or not;
step S223: and if the activity intensity information of the first child does not meet the second preset threshold value, reminding the first responsible person.
Particularly, after the image information of the first child activity is screened out, the activity intensity information of the first child can be obtained according to the image information of the first child activity, the activity intensity information of the first child is that whether the activity intensity of the first child is too large or not and the activity time is too long, whether the activity intensity information of the first child meets a second preset threshold or not is judged, if the activity intensity information of the first child does not meet the second preset threshold, a first responsible person is reminded, further, the situation that the joints are influenced for a long time due to the fact that the activity intensity of the child is too large or the activity time is too long can be understood, the joints of the child are not completely developed, appropriate activity and control time and intensity are needed, damage to the joints is avoided, the first responsible person organizes the child activity by organizing people, and reasonable specification is carried out on the activity of the first child, the technical effect of preventing the joints of the children from being damaged is achieved.
Further, in order to obtain a more accurate training result of the training model, the embodiment of the present application further includes:
step S810: obtaining hip joint image information of the first child;
step S820: obtaining connection information of the acetabulum and the femoral head according to the hip joint image information;
step S830: judging whether the connection information of the acetabulum and the femoral head meets a third preset threshold value;
step S840: if the connection information of the acetabulum and the femoral head does not meet the third preset threshold, obtaining a second result;
step S850: and correcting the first training model according to the second result.
Specifically, in order to obtain a more accurate training result of the training model, image information of a hip joint of the first child may be obtained, the hip joint is composed of a femoral head and an acetabulum, belongs to a ball-and-socket joint, and is a typical rod-and-socket joint, and because the hip joint of the child has not been developed, the hip joint is characterized in that a Y-shaped cartilage of the acetabulum has not been healed or a distance between three bones is large, the femoral head has only a small lumpy ossification center, the size ratio of the acetabulum to the femoral head is greatly different, and the distance between the acetabulum and the femoral head is wide, and therefore, congenital hip joint dislocation is common in children, the connection information of the acetabulum and the femoral head may be obtained from the image information of the hip joint, and it may be determined whether the connection information of the acetabulum and the femoral head satisfies a third preset threshold, that is the connection information of the acetabulum, and obtaining a second result, wherein the second result is that the connection information of the acetabulum and the femoral head is abnormal or the conditions of semi-dislocation, slight dislocation, severe dislocation and the like exist, and then the first training model is corrected according to the second result, so that the technical effects that the output of the first training model is more accurate, and further the judgment on whether the first child needs joint care is more reasonable and effective are achieved.
Further, in order to provide more effective care for the joints of the first child, embodiments of the present application further include:
step S910: obtaining nutritional intake information for the first child;
step S920: acquiring essential nutrition intake information of children;
step S930: judging whether the nutrition intake information of the first child meets the essential nutrition intake information of the child;
step S940: and if the nutrition intake information of the first child does not meet the necessary nutrition intake information of the child, performing nutrition supplement on the first child.
Specifically, in order to more effectively perform joint care on the first child, nutrition intake information of the first child may be obtained, the nutrition intake information of the first child is an existing nutrition component already taken by the first child, nutrition intake information necessary for the first child is obtained, the necessary nutrition intake information is a nutrition intake component essential in the development process of the first child, whether the nutrition intake information of the first child satisfies the nutrition intake information necessary for the first child, that is, whether the nutrition intake information of the first child is sufficiently complete is determined, and if the nutrition intake information of the first child does not satisfy the nutrition intake information necessary for the first child, that is, the nutrition intake information of the first child is not sufficiently complete and cannot promote the development of the first child, nutrition supplement needs to be performed on the first child so that the nutrition intake information of the first child is complete, and is completely absorbed, thereby achieving the technical effect of more effectively nursing the joints of the first child.
Further, the embodiment of the present application further includes:
step S1010: obtaining first body temperature information of the first child;
step S1020: obtaining first time interval information;
step S1030: obtaining second body temperature information of the first child according to the first time interval information;
step S1040: comparing the first body temperature information with the second body temperature information to obtain a third result;
step S1050: and correcting the first training model according to the third result.
Specifically, when some children have rheumatoid arthritis and fever, the body temperature of the children needs to be monitored in real time, first body temperature information of the first child can be obtained, the first body temperature information is body temperature information of the first child during measurement, first time interval information is obtained, the first time interval information is a time interval for measuring the body temperature, which may be one hour or two hours, without being particularly limited thereto, second body temperature information of the first child is obtained according to the first time interval information, the second body temperature information is body temperature measurement information of a second time after the first time interval elapses, a third result is obtained by comparing the first body temperature information and the second body temperature information, and the third result is whether the first body temperature information and the second body temperature information are too different from each other or not, and the first training model is corrected according to the third result, so that the technical effects of enabling the output result of the first training model to be more accurate and further accurately judging whether the first child needs to perform joint care are achieved.
In summary, the system for nursing joint movement and the method for nursing joint movement provided by the embodiments of the present application have the following technical effects:
1. the technical effects that the moving image information of the first child at home and the moving image information of the first child at a kindergarten are obtained through the camera respectively, mutual comparison can be formed, the output result, namely whether the first child normally walks or not, is more accurate through continuous training of the training model, whether joint nursing is carried out on the first child or not is judged through accurate prejudgment of the output result, and early prevention and early treatment are achieved, and meanwhile nursing activities of joints of the children are carried out are achieved.
2. The first training model is corrected by obtaining the hip joint image information of the first child, further obtaining the connection information of the acetabulum and the femoral head and the body temperature information of the first child, so that the output result of the first training model, namely whether the first child walks normally or not, is more accurate, and further the judgment of whether the joints of the first child are nursed or not is more reasonable and scientific, so that the technical effects of timely and early finding the joint disease problem of the child, early treatment and early rehabilitation are achieved.
Example two
Based on the same inventive concept as the method of nursing joint movement in the previous embodiment, the present invention also provides a system for nursing joint movement, as shown in fig. 2, the system comprising:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first image information, where the first image information is image information of a first child activity captured by a camera installed at home;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain second image information, where the second image information is image information of the activity of the first child captured by a camera installed in a kindergarten where the first child is located;
a first input unit 13, where the first input unit 13 is configured to input the first image information and the second image information into a first training model, where the first training model is obtained by training through multiple sets of training data, and each of the multiple sets of training data includes: the first image information, the second image information and identification information used for identifying whether the first child walks normally;
a third obtaining unit 14, where the third obtaining unit 14 is configured to obtain output information of the first training model, where the output information includes whether the first child walks normally;
a fourth obtaining unit 15, wherein the fourth obtaining unit 15 is configured to obtain a first result according to the output information;
a first judging unit 16, where the first judging unit 16 is configured to judge whether the first result satisfies a first preset threshold;
a fifth obtaining unit 17, wherein the fifth obtaining unit 17 is configured to obtain a first instruction if the first result does not satisfy the first preset threshold, and the first instruction is to care for a joint of the first child.
Further, the system further comprises:
a sixth obtaining unit configured to obtain face recognition information of the first child;
the first screening unit is used for screening out image information of the first child activity according to the facial recognition information and the second image information;
a first processing unit for processing the image information of the first child activity.
Further, the system further comprises:
a seventh obtaining unit, configured to obtain activity intensity information of the first child according to the image information of the first child activity;
a second judging unit, configured to judge whether the activity intensity information of the first child meets a second preset threshold;
and the first reminding unit is used for reminding the first responsible person if the activity intensity information of the first child does not meet the second preset threshold value.
Further, the system further comprises:
an eighth obtaining unit configured to obtain hip joint image information of the first child;
a ninth obtaining unit configured to obtain connection information of an acetabulum and a femoral head according to the hip joint image information;
a third judging unit, configured to judge whether connection information of the acetabulum and the femoral head meets a third preset threshold;
a tenth obtaining unit, configured to obtain a second result if the connection information of the acetabulum and the femoral head does not satisfy the third preset threshold;
a first modification unit, configured to modify the first training model according to the second result.
Further, the system further comprises:
an eleventh obtaining unit for obtaining nutritional intake information of the first child;
a twelfth obtaining unit for obtaining essential nutrient intake information of the child;
a fourth determination unit configured to determine whether the nutrition intake information of the first child satisfies the child-required nutrition intake information;
a first supplement unit for performing nutritional supplement on the first child if the nutritional intake information of the first child does not satisfy the child's essential nutritional intake information.
Further, the system further comprises:
a thirteenth obtaining unit for obtaining first body temperature information of the first child;
a fourteenth obtaining unit configured to obtain first time interval information;
a fifteenth obtaining unit, configured to obtain second body temperature information of the first child according to the first time interval information;
a sixteenth obtaining unit, configured to compare the first body temperature information and the second body temperature information, and obtain a third result;
a second modifying unit, configured to modify the first training model according to the third result.
Various modifications and specific examples of a method for nursing joint movement in the first embodiment of fig. 1 are also applicable to a system for nursing joint movement in the present embodiment, and the implementation method of a system for nursing joint movement in the present embodiment is clear to those skilled in the art from the foregoing detailed description of a method for nursing joint movement, so for the sake of brevity of description, detailed description is omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a method of attending to joint movements as described in the previous embodiments, the present invention also provides a system of attending to joint movements, on which a computer program is stored which, when being executed by a processor, carries out the steps of any one of the methods of attending to joint movements described above.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The present application further provides a method of treating joint activity, the method comprising: acquiring first image information, wherein the first image information is image information of first child activity shot by a camera installed at home; acquiring second image information, wherein the second image information is image information of the activity of the first child shot by a camera installed in a kindergarten where the first child is located; inputting the first image information and the second image information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the second image information and identification information used for identifying whether the first child walks normally; obtaining output information of the first training model, wherein the output information comprises whether the first child walks normally; obtaining a first result according to the output information; judging whether the first result meets a first preset threshold value or not; if the first result does not meet the first preset threshold, obtaining a first instruction, wherein the first instruction is to care for the joint of the first child.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1. A system for attending to joint movements, wherein the system comprises:
the first obtaining unit is used for obtaining first image information, and the first image information is image information of first child activities shot by a camera installed at home;
a second obtaining unit, configured to obtain second image information, where the second image information is image information of a movement of the first child captured by a camera installed in a kindergarten where the first child is located;
a first input unit, configured to input the first image information and the second image information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the second image information and identification information used for identifying whether the first child walks normally;
a third obtaining unit, configured to obtain output information of the first training model, where the output information includes whether the first child is walking normally;
a fourth obtaining unit configured to obtain a first result according to the output information;
a first judging unit, configured to judge whether the first result satisfies a first preset threshold;
a fifth obtaining unit, configured to obtain a first instruction if the first result does not satisfy the first preset threshold, where the first instruction is to care for a joint of the first child.
2. The system of claim 1, wherein the second obtaining unit further comprises:
a sixth obtaining unit configured to obtain face recognition information of the first child;
the first screening unit is used for screening out image information of the first child activity according to the facial recognition information and the second image information;
a first processing unit for processing the image information of the first child activity.
3. The system of claim 2, wherein the first screening unit further comprises:
a seventh obtaining unit, configured to obtain activity intensity information of the first child according to the image information of the first child activity;
a second judging unit, configured to judge whether the activity intensity information of the first child meets a second preset threshold;
and the first reminding unit is used for reminding the first responsible person if the activity intensity information of the first child does not meet the second preset threshold value.
4. The system of claim 1, wherein the system further comprises:
an eighth obtaining unit configured to obtain hip joint image information of the first child;
a ninth obtaining unit configured to obtain connection information of an acetabulum and a femoral head according to the hip joint image information;
a third judging unit, configured to judge whether connection information of the acetabulum and the femoral head meets a third preset threshold;
a tenth obtaining unit, configured to obtain a second result if the connection information of the acetabulum and the femoral head does not satisfy the third preset threshold;
a first modification unit, configured to modify the first training model according to the second result.
5. The system of claim 1, wherein the system further comprises:
an eleventh obtaining unit for obtaining nutritional intake information of the first child;
a twelfth obtaining unit for obtaining essential nutrient intake information of the child;
a fourth determination unit configured to determine whether the nutrition intake information of the first child satisfies the child-required nutrition intake information;
a first supplement unit for performing nutritional supplement on the first child if the nutritional intake information of the first child does not satisfy the child's essential nutritional intake information.
6. The system of claim 1, wherein the system further comprises:
a thirteenth obtaining unit for obtaining first body temperature information of the first child;
a fourteenth obtaining unit configured to obtain first time interval information;
a fifteenth obtaining unit, configured to obtain second body temperature information of the first child according to the first time interval information;
a sixteenth obtaining unit, configured to compare the first body temperature information and the second body temperature information, and obtain a third result;
a second modifying unit, configured to modify the first training model according to the third result.
7. A method of treating joint activity, wherein the method comprises:
acquiring first image information, wherein the first image information is image information of first child activity shot by a camera installed at home;
acquiring second image information, wherein the second image information is image information of the activity of the first child shot by a camera installed in a kindergarten where the first child is located;
inputting the first image information and the second image information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the second image information and identification information used for identifying whether the first child walks normally;
obtaining output information of the first training model, wherein the output information comprises whether the first child walks normally;
obtaining a first result according to the output information;
judging whether the first result meets a first preset threshold value or not;
if the first result does not meet the first preset threshold, obtaining a first instruction, wherein the first instruction is to care for the joint of the first child.
8. A system for caring for joint activity, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the system of any of claims 1-6 are implemented when the program is executed by the processor.
CN202011405768.9A 2020-12-03 2020-12-03 System and method for nursing joint movement Withdrawn CN112587130A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108802671A (en) * 2017-04-28 2018-11-13 呼和浩特市源创电子科技有限公司 Children in Kindergartens health monitoring system
CN108968973A (en) * 2018-08-07 2018-12-11 南通大学 A kind of acquisition of body gait and analysis system and method
CN109840478A (en) * 2019-01-04 2019-06-04 广东智媒云图科技股份有限公司 A kind of movement appraisal procedure, device, mobile terminal and readable storage medium storing program for executing
CN110111323A (en) * 2019-05-13 2019-08-09 上海交通大学医学院附属上海儿童医学中心 Hip joint detection method and device
US20200035363A1 (en) * 2018-07-26 2020-01-30 Siemens Healthcare Gmbh System to predict health outcomes
CN112001338A (en) * 2020-08-27 2020-11-27 南通市第二人民医院 Information processing method and system for improving health level of children

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108802671A (en) * 2017-04-28 2018-11-13 呼和浩特市源创电子科技有限公司 Children in Kindergartens health monitoring system
US20200035363A1 (en) * 2018-07-26 2020-01-30 Siemens Healthcare Gmbh System to predict health outcomes
CN108968973A (en) * 2018-08-07 2018-12-11 南通大学 A kind of acquisition of body gait and analysis system and method
CN109840478A (en) * 2019-01-04 2019-06-04 广东智媒云图科技股份有限公司 A kind of movement appraisal procedure, device, mobile terminal and readable storage medium storing program for executing
CN110111323A (en) * 2019-05-13 2019-08-09 上海交通大学医学院附属上海儿童医学中心 Hip joint detection method and device
CN112001338A (en) * 2020-08-27 2020-11-27 南通市第二人民医院 Information processing method and system for improving health level of children

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