CN115240856A - Exercise health assessment method, system and equipment based on exercise posture - Google Patents

Exercise health assessment method, system and equipment based on exercise posture Download PDF

Info

Publication number
CN115240856A
CN115240856A CN202211036931.8A CN202211036931A CN115240856A CN 115240856 A CN115240856 A CN 115240856A CN 202211036931 A CN202211036931 A CN 202211036931A CN 115240856 A CN115240856 A CN 115240856A
Authority
CN
China
Prior art keywords
measurement
posture
space
measuring
exercise
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211036931.8A
Other languages
Chinese (zh)
Inventor
李雪
韦洪雷
万辉
高瞻乐
朱志成
徐基盛
黄秋月
郑甜珍
梁鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan Drug Rehabilitation Administration
Southwest Jiaotong University
Chengdu Sport University
Original Assignee
Sichuan Drug Rehabilitation Administration
Southwest Jiaotong University
Chengdu Sport University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan Drug Rehabilitation Administration, Southwest Jiaotong University, Chengdu Sport University filed Critical Sichuan Drug Rehabilitation Administration
Priority to CN202211036931.8A priority Critical patent/CN115240856A/en
Publication of CN115240856A publication Critical patent/CN115240856A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • 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
    • A61B5/1118Determining activity level
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • G06V40/23Recognition of whole body movements, e.g. for sport training
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30204Marker
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/012Dimensioning, tolerancing

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Epidemiology (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Software Systems (AREA)
  • Surgery (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Graphics (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Geometry (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Computer Hardware Design (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a motion health assessment method, a system and equipment based on motion postures, wherein a three-dimensional human body model of a motion person in a target motion posture is obtained to mark reference points to construct a space three-dimensional coordinate system, the measurement points are marked to be connected into measurement lines, space coordinate data of the measurement lines in the space three-dimensional coordinate system is determined to calculate and obtain a space length relation and a space angle relation between every two measurement lines, then scores of all posture measurement items, total scores of posture measurement and corresponding motion health grades are determined according to the space length relation and the space angle relation between every two measurement lines, and finally the scores of all the data and the motion health grades are summarized to generate a motion health assessment report form.

Description

Exercise health assessment method, system and equipment based on exercise posture
Technical Field
The invention belongs to the technical field of exercise health management, and particularly relates to an exercise health assessment method, system and device based on exercise postures.
Background
Exercise is a physical activity that promotes physical well-being, is a set of rules related to physical strength and skill, and is a behavioral activity that is habitually constrained, and is often competitive. In the process of movement, the movement posture of a sporter is vital, the correct and healthy movement posture can enable the body of the sporter to be comprehensively exercised, and the incorrect and unhealthy movement posture can not enable the sporter to achieve the aim of exercising and can also cause physical damage to the sporter in the movement process.
At present, the exercise health assessment mode of human body exercise postures is mainly that professionals observe postures of the sporters during exercise to accumulate subjective judgment and assessment according to own professional knowledge and experience, and it can be seen that the exercise health assessment mode depends on the professional knowledge and experience of the assessors, the situation of misassessment possibly exists, and the exercise health assessment mode is not efficient and intelligent enough, and is not beneficial to comprehensively promoting popularization of health and scientific exercise modes.
Disclosure of Invention
The present invention is directed to a method, system and device for evaluating exercise health based on exercise posture, which are used to solve the above problems in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, a method for athletic health assessment based on an athletic posture is provided, comprising:
acquiring a three-dimensional human body model of a moving person in a target movement posture, and acquiring a measurement operation instruction;
marking reference points on the three-dimensional human body model according to the measurement operation instruction, constructing a space three-dimensional coordinate system by taking the reference points as an original point, and correspondingly marking a plurality of groups of measurement points on the three-dimensional human body model in pairs according to the measurement operation instruction;
connecting the measuring points of the pair of associated marks with each other to form measuring lines, and endowing the measuring lines with unique identification codes according to the marking sequence of the corresponding measuring points;
determining space coordinate data of each measuring line in a space three-dimensional coordinate system, and associating the space coordinate data of each measuring line with the unique identification code;
extracting space coordinate data associated with the corresponding unique identification codes pairwise according to set comparison logics, and performing comparison calculation to obtain a space length relation and a space angle relation between corresponding pairwise measurement lines;
determining the scores of the posture measurement items according to the spatial length relationship and the spatial angle relationship between every two corresponding measurement lines, and adding the scores of the posture measurement items to obtain a total score of the posture measurement;
obtaining a corresponding exercise health grade according to the posture measurement total score;
and generating a sports health evaluation report according to the sports health grade, the total posture measurement score and the scores of all the posture measurement items.
Based on the technical content, a three-dimensional human body model of a sporter in a target movement posture is obtained to mark reference points to construct a space three-dimensional coordinate system, the measuring points are marked to be connected to form measuring lines, space coordinate data of the measuring lines in the space three-dimensional coordinate system is determined to calculate and obtain a space length relation and a space angle relation between every two measuring lines, then scores of all posture measuring items, a total score of posture measurement and a corresponding movement health grade are determined according to the space length relation and the space angle relation between every two measuring lines, and finally a movement health evaluation report is generated by the movement health grade, the total score of posture measurement and the scores of all posture measuring items.
In one possible design, after the pairwise association of the sets of measurement points marked on the three-dimensional phantom, the method further comprises:
connecting the measurement points of the paired association marks with the reference points respectively to form a measurement included angle facing the measurement line, and associating the measurement included angle with the unique identification code of the corresponding measurement line;
determining the size of a measurement included angle corresponding to each unique identification code and the length of a corresponding measurement line;
and determining the score of each posture measurement item according to the size of each measurement included angle and the length of the measurement line.
In one possible design, before obtaining the three-dimensional human model of the moving person in the target movement posture, the method further comprises:
acquiring a plurality of angle images of a moving person in a target movement posture;
performing edge detection and contour extraction on the images of all angles to obtain edge contour characteristics of the moving personnel in the target movement posture;
and constructing a three-dimensional human body model of the moving person in the target moving posture according to the edge contour characteristics of the moving person in the target moving posture.
In one possible design, the determining spatial coordinate data of each measurement line in a spatial three-dimensional coordinate system includes: and determining a function expression of each measuring line in the space three-dimensional coordinate system according to the space three-dimensional coordinate system and the position of each measuring line in the space three-dimensional coordinate system, wherein the space coordinate data comprises the function expression.
In a possible design, the extracting, two by two, spatial coordinate data associated with the corresponding unique identification codes according to a set comparison logic, and performing comparison calculation to obtain a spatial length relationship and a spatial angle relationship between corresponding two measurement lines includes: according to the function expression associated with the extracted two unique identification codes, calculating to obtain the length ratio between the two corresponding measuring lines and the projection included angle of the two measuring lines in a plane coordinate system formed by any two coordinate axes of the space three-dimensional coordinate system, wherein the space length relationship comprises the length ratio, and the space angle relationship comprises the projection included angle.
In one possible design, the obtaining the corresponding exercise health level according to the overall posture measurement score includes:
and substituting the total posture measurement score into a preset exercise health grade table for comparison and judgment to obtain an exercise health grade corresponding to the total posture measurement score.
In one possible design, the generating an exercise health assessment report according to the exercise health level, the total score of the posture measurement and the scores of the posture measurement items includes:
acquiring an evaluation report template;
and respectively inputting the exercise health grade, the total posture measurement score and the scores of all the posture measurement items into corresponding sections in an evaluation report template to obtain an exercise health evaluation report.
In a second aspect, there is provided an exercise health assessment system based on an exercise posture, comprising an acquisition unit, a marking unit, a connection unit, a determination unit, a calculation unit, a first measurement unit, a second measurement unit, and a generation unit, wherein:
the acquisition unit is used for acquiring a three-dimensional human body model of a moving person in a target movement posture and acquiring a measurement operation instruction;
the marking unit is used for marking reference points on the three-dimensional human body model according to the measurement operation instructions, constructing a space three-dimensional coordinate system by taking the reference points as an origin, and marking a plurality of groups of measurement points on the three-dimensional human body model in a pairwise association manner according to the measurement operation instructions;
the connecting unit is used for connecting the measuring points of the pair of associated marks with each other to form measuring lines, and each measuring line is endowed with a unique identification code according to the marking sequence of the corresponding measuring point;
the determining unit is used for determining space coordinate data of each measuring line in a space three-dimensional coordinate system and associating the space coordinate data of each measuring line with the unique identification code;
the calculation unit is used for extracting space coordinate data associated with the corresponding unique identification codes pairwise according to set comparison logics to carry out comparison calculation so as to obtain a space length relation and a space angle relation between corresponding pairwise measurement lines;
the first measuring unit is used for determining the scores of all the posture measurement items according to the space length relation and the space angle relation between every two corresponding measurement lines and adding the scores of all the posture measurement items to obtain a total score of posture measurement;
the second determination unit is used for obtaining a corresponding exercise health grade according to the posture measurement total score;
and the generation unit is used for generating an exercise health evaluation report according to the exercise health grade, the total posture measurement score and each posture measurement item score.
In one possible design, the connection unit is further configured to connect the measurement points of the pair of association marks with the reference points, respectively, to form a measurement included angle directly facing the measurement line, and associate the measurement included angle with the unique identification code of the corresponding measurement line;
the determining unit is further used for determining the size of the measuring included angle corresponding to each unique identification code and the length of the corresponding measuring line;
the first measuring unit is also used for determining the score of each posture measuring item according to the size of each measuring included angle and the length of the measuring line.
In a third aspect, an exercise health assessment apparatus based on an exercise posture is provided, comprising:
a memory to store instructions;
a processor configured to read the instructions stored in the memory and execute the method of any of the first aspects according to the instructions.
Has the advantages that: the method comprises the steps of marking reference points to construct a space three-dimensional coordinate system by obtaining a three-dimensional human body model of a sporter in a target movement posture, marking measurement points to form measurement lines in a connected mode, calculating to obtain a space length relation and a space angle relation between every two measurement lines by determining space coordinate data of the measurement lines in the space three-dimensional coordinate system, then determining scores of all posture measurement items, a total score of posture measurement and corresponding movement health grades according to the space length relation and the space angle relation between every two measurement lines, and finally generating a movement health assessment report form by utilizing the movement health grades, the total score of posture measurement and the scores of all posture measurement items.
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 embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of the method steps in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the apparatus according to the embodiment of the present invention.
Detailed Description
It should be noted that the description of the embodiments is provided to help understanding of the present invention, and the present invention is not limited thereto. Specific structural and functional details disclosed herein are merely illustrative of example embodiments of the invention. The present invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It should be understood that the terms first, second, etc. are used solely for distinguishing between descriptions and are not intended to indicate or imply relative importance. Although the terms first, second, etc. may be used herein to describe various features, these features should not be limited by these terms. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments of the present invention.
In the following description, specific details are provided to provide a thorough understanding of example embodiments. However, it will be understood by those of ordinary skill in the art that the example embodiments may be practiced without these specific details. For example, systems may be shown in block diagrams in order not to obscure the examples in unnecessary detail. In other instances, well-known processes, structures and techniques may be shown without unnecessary detail in order to avoid obscuring the embodiments.
Example 1:
the present embodiment provides an exercise health assessment method based on an exercise posture, as shown in fig. 1, the method includes the following steps:
s101, acquiring a three-dimensional human body model of a moving person in a target movement posture, and acquiring a measurement operation instruction.
In specific implementation, a plurality of angle images of the moving personnel in the target movement posture can be acquired through corresponding image acquisition equipment, such as a high-definition camera and the like, then edge detection and contour extraction are carried out on the angle images acquired by the image acquisition equipment, so that edge contour characteristics of the moving personnel in the target movement posture are obtained, and a three-dimensional human body model of the moving personnel in the target movement posture can be constructed by utilizing the edge contour characteristics of the moving personnel in the target movement posture. The measurement operation instruction can be generated by responding to an operation instruction of a user when the user uses the external device.
S102, marking reference points on the three-dimensional human body model according to the measurement operation instructions, constructing a space three-dimensional coordinate system by taking the reference points as an original point, and marking a plurality of groups of measurement points on the three-dimensional human body model in a pair-wise correlation manner according to the measurement operation instructions.
In specific implementation, after the measurement operation instruction is obtained, a reference point can be marked on the three-dimensional human body model according to the measurement operation instruction, and then a space three-dimensional coordinate system is constructed by taking the reference point as an origin. And a plurality of groups of measuring points can be associated and marked on the three-dimensional human body model in pairs according to the measuring operation instruction.
And S103, connecting the measurement points of the pair of associated marks with each other to form measurement lines, and endowing the measurement lines with unique identification codes according to the mark sequence of the corresponding measurement points.
In specific implementation, the measurement points of the associated marks in pairs can be connected with each other to form measurement lines, each measurement line is endowed with a unique identification code according to the marking sequence of the corresponding measurement point, and if the measurement points of the first associated mark are connected to form a measurement line, the unique identification code 001 can be endowed, and the like. The measuring points of the pair of associated marks can be respectively connected with the reference points to form a measuring included angle right facing the measuring line, and the measuring included angle is associated with the unique identification code of the corresponding measuring line.
S104, determining space coordinate data of each measuring line in a space three-dimensional coordinate system, and associating the space coordinate data of each measuring line with a unique identification code.
In specific implementation, after the measurement lines and the measurement included angles are obtained, the function expressions of the measurement lines in the space three-dimensional coordinate system can be determined according to the space three-dimensional coordinate system and the positions of the measurement lines in the space three-dimensional coordinate system, and space coordinate data are formed through the function expressions. The size of the measuring included angle corresponding to each unique identification code and the length of the corresponding measuring line can be determined according to the space three-dimensional coordinate system.
And S105, extracting space coordinate data associated with the corresponding unique identification codes pairwise according to set comparison logics, and performing comparison calculation to obtain a space length relation and a space angle relation between corresponding pairwise measurement lines.
In specific implementation, the spatial coordinate data associated with the corresponding unique identification codes can be extracted pairwise according to a set comparison logic for comparison calculation, the comparison logic can be preset, for example, the spatial coordinate data corresponding to the unique identification code 001 and the spatial coordinate data corresponding to the unique identification code 002 are set for comparison calculation, so as to obtain a spatial length relationship and a spatial angle relationship between two corresponding measurement lines, and the specific comparison calculation includes: according to the function expression associated with the extracted two unique identification codes, calculating to obtain the length ratio between the two corresponding measuring lines and the projection included angle of the two measuring lines in a plane coordinate system formed by any two coordinate axes of the space three-dimensional coordinate system, wherein the space length relationship comprises the length ratio, and the space angle relationship comprises the projection included angle.
S106, determining the scores of the posture measurement items according to the space length relation and the space angle relation between every two corresponding measurement lines, and adding the scores of the posture measurement items to obtain a total posture measurement score.
In specific implementation, the score of each posture measurement item can be determined according to the spatial length relationship and the spatial angle relationship between each two corresponding measurement lines, the size of each measurement included angle and the length of each measurement line, and each posture measurement item is set with a corresponding score and a score limiting condition. If the score of the A posture measurement item is 1, if the length ratio of the measurement line corresponding to the unique identification code 001 to the measurement line corresponding to the unique identification code 002 is within the set threshold range, the A posture measurement item is 1; the value of the posture measurement item B is 1 point, and if the projection included angle between the measurement line corresponding to the unique identification code 001 and the measurement line corresponding to the unique identification code 002 in a certain plane coordinate system is within a set threshold range, the posture measurement item B is 1 point; and the score of the C posture measurement item is 1, if the corresponding measurement included angle of the unique identification code 001 is in a set threshold range, the C posture measurement item is 1, and the rest is done in the same way, so that the scores of all the posture measurement items are obtained, and the scores of all the posture measurement items are added to obtain the total score of the posture measurement.
And S107, obtaining a corresponding exercise health grade according to the posture measurement total score.
In specific implementation, after the total posture measurement score is obtained, the total posture measurement score can be substituted into a preset exercise health grade table for comparison and judgment, and an exercise health grade corresponding to the total posture measurement score is obtained. For example, the exercise health rating table may be as follows:
Figure 143612DEST_PATH_IMAGE001
if the total posture measurement score of the sportsman in the target movement posture is in the interval of 91-100, the corresponding movement health grade is one grade, if the total posture measurement score of the sportsman in the target movement posture is in the interval of 81-90, the corresponding movement health grade is two grades, and the like. The scientific and healthy degree of the sports personnel in the target sports posture can be visually represented through the sports health grade, if the sports health grade is higher, the target sports posture made by the sports personnel is not scientific and healthy enough, and even the damage to the body of the sports personnel can be brought, so that the adjustment improvement of the sports posture of the sports personnel is assisted and urged.
And S108, generating a sports health assessment report according to the sports health grade, the total posture measurement score and the scores of all the posture measurement items.
In specific implementation, a corresponding evaluation report template can be obtained, and then the exercise health level, the total postural measurement score and the scores of all the postural measurement items are respectively input into corresponding sections in the evaluation report template to obtain the exercise health evaluation report. The exercise health assessment report presents exercise health level, total posture measurement score and scores of all posture measurement items in a data set chart mode, and visual checking and comparative understanding are facilitated.
The method comprises the steps of marking reference points to construct a space three-dimensional coordinate system by obtaining a three-dimensional human body model of a sporter in a target movement posture, marking measurement points to form measurement lines in a connected mode, calculating and obtaining a space length relation and a space angle relation between every two measurement lines by determining space coordinate data of the measurement lines in the space three-dimensional coordinate system, then determining scores of all posture measurement items, a total score of posture measurement and a corresponding movement health grade according to the space length relation and the space angle relation between every two measurement lines, and finally generating a movement health evaluation report by using the movement health grade, the total score of posture measurement and the scores of all posture measurement items.
Example 2:
the present embodiment provides an exercise health assessment system based on an exercise posture, as shown in fig. 2, including an acquisition unit, a marking unit, a connection unit, a determination unit, a calculation unit, a first measurement unit, a second measurement unit, and a generation unit, wherein:
the acquisition unit is used for acquiring a three-dimensional human body model of a moving person in a target movement posture and acquiring a measurement operation instruction;
the marking unit is used for marking reference points on the three-dimensional human body model according to the measurement operation instructions, constructing a space three-dimensional coordinate system by taking the reference points as an origin, and marking a plurality of groups of measurement points on the three-dimensional human body model in a pairwise association manner according to the measurement operation instructions;
the connecting unit is used for connecting the measuring points of the pair of associated marks with each other to form measuring lines, and each measuring line is endowed with a unique identification code according to the marking sequence of the corresponding measuring point;
the determining unit is used for determining the space coordinate data of each measuring line in a space three-dimensional coordinate system and associating the space coordinate data of each measuring line with the unique identification code;
the calculation unit is used for extracting space coordinate data associated with the corresponding unique identification codes pairwise according to set comparison logics to carry out comparison calculation so as to obtain a space length relation and a space angle relation between corresponding pairwise measurement lines;
the first measuring unit is used for determining each attitude measurement item score according to the space length relation and the space angle relation between each two corresponding measurement lines and adding the attitude measurement item scores to obtain an attitude measurement total score;
the second determination unit is used for obtaining a corresponding exercise health grade according to the posture measurement total score;
and the generating unit is used for generating an exercise health evaluation report according to the exercise health grade, the total postural measurement score and the scores of all the postural measurement items.
Furthermore, the connecting unit is also used for connecting the measuring points of the paired associated marks with the reference points respectively to form a measuring included angle facing the measuring line, and associating the measuring included angle with the unique identification code of the corresponding measuring line;
the determining unit is further used for determining the size of the measuring included angle corresponding to each unique identification code and the length of the corresponding measuring line;
the first measuring unit is also used for determining the score of each posture measuring item according to the size of each measuring included angle and the length of the measuring line.
Example 3:
the embodiment provides an exercise health assessment apparatus based on exercise posture, as shown in fig. 3, at a hardware level, including:
the data interface is used for establishing data butt joint between the processor and external equipment;
a memory to store instructions;
and the processor is used for reading the instructions stored in the memory and executing the exercise health assessment method based on the exercise posture in the embodiment 1 according to the instructions.
Optionally, the computer device further comprises an internal bus. The processor, the memory, and the display may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.
The Memory may include, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Flash Memory (Flash Memory), a First In First Out (FIFO), a First In Last Out (FILO), and/or the like. The Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
Example 4:
the present embodiment provides a computer-readable storage medium having stored thereon instructions that, when executed on a computer, cause the computer to execute the exercise health assessment method based on an exercise posture of embodiment 1. The computer-readable storage medium refers to a carrier for storing data, and may include, but is not limited to, floppy disks, optical disks, hard disks, flash memories, flash disks, and/or Memory sticks (Memory sticks), etc., and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable systems.
The present embodiment also provides a computer program product containing instructions that, when executed on a computer, cause the computer to execute the exercise health assessment method based on exercise posture of embodiment 1. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system.
Finally, it should be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An exercise health assessment method based on an exercise posture, comprising:
acquiring a three-dimensional human body model of a moving person in a target movement posture, and acquiring a measurement operation instruction;
marking reference points on the three-dimensional human body model according to the measurement operation instruction, constructing a space three-dimensional coordinate system by taking the reference points as an original point, and pairwise and associatively marking a plurality of groups of measurement points on the three-dimensional human body model according to the measurement operation instruction;
connecting the measuring points of the associated marks in pairs to form measuring lines, and endowing the measuring lines with unique identification codes according to the marking sequence of the corresponding measuring points;
determining space coordinate data of each measuring line in a space three-dimensional coordinate system, and associating the space coordinate data of each measuring line with the unique identification code;
extracting space coordinate data associated with the corresponding unique identification codes pairwise according to set comparison logics, and performing comparison calculation to obtain a space length relation and a space angle relation between corresponding pairwise measurement lines;
determining each attitude measurement item score according to the space length relation and the space angle relation between every two corresponding measurement lines, and adding the attitude measurement item scores to obtain an attitude measurement total score;
obtaining a corresponding exercise health grade according to the posture measurement total score;
and generating a sports health evaluation report according to the sports health grade, the total posture measurement score and the scores of all the posture measurement items.
2. The method for assessing exercise health based on exercise posture of claim 1, further comprising, after associating and marking sets of measurement points on the three-dimensional human body model in pairs:
connecting the measurement points of the paired association marks with the reference points respectively to form a measurement included angle facing the measurement line, and associating the measurement included angle with the unique identification code of the corresponding measurement line;
determining the size of a measuring included angle corresponding to each unique identification code and the length of a corresponding measuring line;
and determining the score of each posture measurement item according to the size of each measurement included angle and the length of the measurement line.
3. The athletic health assessment method based on motion posture of claim 1, wherein before obtaining the three-dimensional human model of the athletic person at the target motion posture, the method further comprises:
acquiring a plurality of angle images of a moving person in a target movement posture;
performing edge detection and contour extraction on the images of all angles to obtain edge contour characteristics of the moving personnel in the target movement posture;
and constructing a three-dimensional human body model of the moving person in the target moving posture according to the edge contour characteristics of the moving person in the target moving posture.
4. The method according to claim 1, wherein the determining spatial coordinate data of each measurement line in a spatial three-dimensional coordinate system comprises: and determining a function expression of each measuring line in the space three-dimensional coordinate system according to the space three-dimensional coordinate system and the position of each measuring line in the space three-dimensional coordinate system, wherein the space coordinate data comprises the function expression.
5. The exercise health assessment method based on exercise posture according to claim 4, wherein the spatial coordinate data associated with the corresponding unique identification codes are extracted pairwise according to the set comparison logic for comparison calculation, so as to obtain the spatial length relationship and the spatial angle relationship between the corresponding pairwise measurement lines, and the method comprises: according to the function expression associated with the extracted two unique identification codes, calculating to obtain the length ratio between the two corresponding measuring lines and the projection included angle of the two measuring lines in a plane coordinate system formed by any two coordinate axes of the space three-dimensional coordinate system, wherein the space length relationship comprises the length ratio, and the space angle relationship comprises the projection included angle.
6. The method according to claim 1, wherein the obtaining the corresponding exercise health level according to the overall score of the posture measurement comprises:
and substituting the total posture measurement score into a preset exercise health grade table for comparison and judgment to obtain an exercise health grade corresponding to the total posture measurement score.
7. The method according to claim 1, wherein generating an exercise health assessment report according to the exercise health level, the total score of posture measurement, and the scores of each posture measurement item comprises:
acquiring an evaluation report template;
and respectively inputting the exercise health grade, the total posture measurement score and the scores of all the posture measurement items into corresponding sections in an evaluation report template to obtain an exercise health evaluation report.
8. The motion health assessment system based on the motion posture is characterized by comprising an acquisition unit, a marking unit, a connection unit, a determination unit, a calculation unit, a first measurement unit, a second measurement unit and a generation unit, wherein:
the acquisition unit is used for acquiring a three-dimensional human body model of a moving person in a target movement posture and acquiring a measurement operation instruction;
the marking unit is used for marking reference points on the three-dimensional human body model according to the measurement operation instructions, constructing a space three-dimensional coordinate system by taking the reference points as an original point, and marking a plurality of groups of measurement points on the three-dimensional human body model in a pairwise association manner according to the measurement operation instructions;
the connecting unit is used for connecting the measuring points which are marked in pairs in a correlation manner to form measuring lines, and each measuring line is endowed with a unique identification code according to the marking sequence of the corresponding measuring point;
the determining unit is used for determining the space coordinate data of each measuring line in a space three-dimensional coordinate system and associating the space coordinate data of each measuring line with the unique identification code;
the calculation unit is used for extracting space coordinate data associated with the corresponding unique identification codes pairwise according to set comparison logics to carry out comparison calculation so as to obtain a space length relation and a space angle relation between corresponding pairwise measurement lines;
the first measuring unit is used for determining the scores of all the posture measurement items according to the space length relation and the space angle relation between every two corresponding measurement lines and adding the scores of all the posture measurement items to obtain a total score of posture measurement;
the second determination unit is used for obtaining a corresponding exercise health grade according to the posture measurement total score;
and the generation unit is used for generating an exercise health evaluation report according to the exercise health grade, the total posture measurement score and each posture measurement item score.
9. The athletic fitness evaluation system of claim 8,
the connecting unit is also used for connecting the measuring points of the pair of associated marks with the reference points respectively to form a measuring included angle just facing the measuring line and associating the measuring included angle with the unique identification code of the corresponding measuring line;
the determining unit is further used for determining the size of the measuring included angle corresponding to each unique identification code and the length of the corresponding measuring line;
the first measuring unit is also used for determining the score of each posture measuring item according to the size of each measuring included angle and the length of the measuring line.
10. An exercise health assessment apparatus based on an exercise posture, comprising:
a memory to store instructions;
a processor configured to read the instructions stored in the memory and execute the method of any one of claims 1-7 according to the instructions.
CN202211036931.8A 2022-08-29 2022-08-29 Exercise health assessment method, system and equipment based on exercise posture Pending CN115240856A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211036931.8A CN115240856A (en) 2022-08-29 2022-08-29 Exercise health assessment method, system and equipment based on exercise posture

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211036931.8A CN115240856A (en) 2022-08-29 2022-08-29 Exercise health assessment method, system and equipment based on exercise posture

Publications (1)

Publication Number Publication Date
CN115240856A true CN115240856A (en) 2022-10-25

Family

ID=83681771

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211036931.8A Pending CN115240856A (en) 2022-08-29 2022-08-29 Exercise health assessment method, system and equipment based on exercise posture

Country Status (1)

Country Link
CN (1) CN115240856A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116211290A (en) * 2023-02-20 2023-06-06 汕头大学 Ankle pump movement posture monitoring and evaluating method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113658211A (en) * 2021-07-06 2021-11-16 江汉大学 User posture evaluation method and device and processing equipment
CN114495177A (en) * 2022-04-06 2022-05-13 北京蓝田医疗设备有限公司 Scene interactive human body action and balance intelligent evaluation method and system
CN114783001A (en) * 2022-06-22 2022-07-22 南京骞贸科技有限公司 Swimming posture evaluation method, system, device and computer readable storage medium

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113658211A (en) * 2021-07-06 2021-11-16 江汉大学 User posture evaluation method and device and processing equipment
CN114495177A (en) * 2022-04-06 2022-05-13 北京蓝田医疗设备有限公司 Scene interactive human body action and balance intelligent evaluation method and system
CN114783001A (en) * 2022-06-22 2022-07-22 南京骞贸科技有限公司 Swimming posture evaluation method, system, device and computer readable storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116211290A (en) * 2023-02-20 2023-06-06 汕头大学 Ankle pump movement posture monitoring and evaluating method and system
CN116211290B (en) * 2023-02-20 2024-01-30 汕头大学 Ankle pump movement posture monitoring and evaluating method and system

Similar Documents

Publication Publication Date Title
CN108205654B (en) Action detection method and device based on video
CN111275032B (en) Deep squatting detection method, device, equipment and medium based on human body key points
CN110969114A (en) Human body action function detection system, detection method and detector
CN113239849B (en) Body-building action quality assessment method, body-building action quality assessment system, terminal equipment and storage medium
WO2017161734A1 (en) Correction of human body movements via television and motion-sensing accessory and system
CN111597975B (en) Personnel action detection method and device and electronic equipment
US20220207921A1 (en) Motion recognition method, storage medium, and information processing device
CN112101315B (en) Deep learning-based exercise judgment guidance method and system
US11803585B2 (en) Method and apparatus for searching for an image and related storage medium
JP6381368B2 (en) Image processing apparatus, image processing method, and program
US20220222975A1 (en) Motion recognition method, non-transitory computer-readable recording medium and information processing apparatus
CN112435731A (en) Method for judging whether real-time posture meets preset rules
CN115240856A (en) Exercise health assessment method, system and equipment based on exercise posture
CN113191200A (en) Push-up test counting method, device, equipment and medium
WO2023108842A1 (en) Motion evaluation method and system based on fitness teaching training
CN117115922A (en) Seat body forward-bending evaluation method, system, electronic equipment and storage medium
CN109887016B (en) Similarity calculation method and device
CN111353345B (en) Method, apparatus, system, electronic device, and storage medium for providing training feedback
CN115346640B (en) Intelligent monitoring method and system for closed-loop feedback of functional rehabilitation training
CN116978127A (en) Body-building posture correction method, device, equipment and medium based on posture estimation
CN116580454A (en) Motion evaluation method and device based on target detection and human body posture estimation
CN116740618A (en) Motion video action evaluation method, system, computer equipment and medium
US20160249866A1 (en) Criteria for valid range of motion capture
CN115937969A (en) Method, device, equipment and medium for determining target person in sit-up examination
CN115116087A (en) Action assessment method, system, storage medium and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20221025

RJ01 Rejection of invention patent application after publication