CN116503214A - Sports teaching intelligence sports test system - Google Patents

Sports teaching intelligence sports test system Download PDF

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CN116503214A
CN116503214A CN202310503876.7A CN202310503876A CN116503214A CN 116503214 A CN116503214 A CN 116503214A CN 202310503876 A CN202310503876 A CN 202310503876A CN 116503214 A CN116503214 A CN 116503214A
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mimicry
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sports
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王永杰
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Shaanxi University of Technology
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Shaanxi University of Technology
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2208/00—Characteristics or parameters related to the user or player
    • A63B2208/02—Characteristics or parameters related to the user or player posture
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/20—Distances or displacements
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00—Measuring physiological parameters of the user
    • A63B2230/62—Measuring physiological parameters of the user posture
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract

The invention provides an intelligent sports test system for sports teaching, and relates to the field of intelligent education. This sports teaching intelligence sports test system, including intelligent test system. The intelligent identity recognition unit is used for guaranteeing the authenticity of a test student according to real-time face acquisition and whole-body data acquisition, carrying out mimicry establishment and mimicry generation of a test project area, carrying out monitoring comparison between intelligent mimicry scenes and mimicry character limb monitoring and motion tracks, and simultaneously carrying out intelligent judgment marking on the whole dynamic and static limb motion tracks in the mimicry scenes, so that automatic, standardized and intelligent sports test is realized, test results are automatically and correctly calculated, test process data are quantitatively calculated, standard actions and nonstandard actions are correctly judged, the impersonation top substitution test in the test can be effectively avoided, and omission and errors of manual judgment caused by accidents, tamper and the like in the test process are effectively reduced.

Description

Sports teaching intelligence sports test system
Technical Field
The invention relates to the field of intelligent education, in particular to an intelligent sports test system for sports teaching.
Background
The prior sports tests, such as hundred-meter running and the like, are required to be carried out in corresponding physical places, the performance measurement of the prior sports tests is carried out in a manual mode or a sensor mode, and the performance measurement of the prior sports tests is carried out by using measurement equipment such as a stopwatch, a tape ruler, an infrared range finder, a mechanical counter, an electronic counter and the like through manual supervision.
However, the measurement equipment used for human supervision is easy to be externally influenced and interrupted, so that the test results are difficult to correspond, the test efficiency is low, standard actions and nonstandard actions cannot be accurately distinguished, and the like.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an intelligent sports test system for sports teaching, which solves the problems that the current manual supervision and use of measuring equipment is easily influenced and interrupted by external connection, so that the test results are difficult to correspond, the test efficiency is low, standard actions and nonstandard actions cannot be accurately distinguished, and the like.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the intelligent sports test system comprises an intelligent test system, wherein the intelligent test system comprises a monitoring center control end for whole system control and test judgment, an identity acquisition unit for acquiring identity information of a test student, a storage module for storing test data, a data interaction unit for data information matching, a detection sensing unit for intelligent monitoring and a mimicry synchronization unit for intelligent mimicry.
Preferably, the monitoring center control end comprises a detection processing center based on a deep learning algorithm and convolutional nerves, a control key with a plurality of instruction keys, an image data storage unit, a marking module for error warning, an image data comparison unit for intelligent recognition and an image acquisition processing unit for processing acquired information.
Preferably, the image acquisition processing unit is electrically connected with the detection sensing unit and is electrically connected with the mimicry synchronization unit and the detection processing center, and the image data comparison unit is electrically connected with the mimicry synchronization unit and is electrically connected with the detection processing center and the marking module.
Preferably, the identity acquisition unit comprises a face authentication unit, an identity authentication unit and a whole body authentication unit, wherein the face authentication unit and the whole body authentication unit adopt a real-time authentication mode, and the identity authentication unit performs identity recognition authentication based on the face authentication unit.
Preferably, the detection sensing unit comprises a human body tracking unit, an item fixed point tracking unit, a fixed point sensing unit and a region positioning module, wherein the human body tracking unit comprises a human body limb state dynamic tracking and a static limb positioning, and the item fixed point tracking is used for carrying out test item preset point tracking based on test items.
Preferably, the mimicry synchronization unit comprises a mimicry synchronization model, a target tracking unit, a target model synchronization and a region model synchronization, wherein the mimicry synchronization unit is used for establishing the mimicry model with dynamic motion based on data acquired by the detection sensing unit of the image acquisition processing unit.
Preferably, the detection sensing unit comprises a plurality of sensors, a plurality of tracking cameras and a panoramic field camera which are electrically connected.
Preferably, the application method of the intelligent sports test system for sports teaching specifically comprises the following steps:
s1, identity verification
The method comprises the steps of performing student identity verification through an identity acquisition unit, wherein the student identity verification comprises real-time face recognition and whole body recognition;
s2, mimicry establishment
The monitoring center control end, the detection sensing unit and the mimicry synchronization unit are utilized to carry out test item area mimicry establishment and to-be-tested student mimicry establishment, and real-time dynamic and static limb attitude tracking and item test point fixed-point tracking are carried out;
s3, testing and judging
And according to the data of the mimicry synchronous unit, utilizing an image data comparison unit and a marking module to carry out analysis comparison and marking, wherein the comparison value comprises a threshold value in a preset range, and the marking module marks points exceeding the threshold value in the preset range, and carrying out comprehensive test result judgment according to statistics of marking points and fixed-point tracking of project test points.
(III) beneficial effects
The invention provides an intelligent sports test system for sports teaching. The beneficial effects are as follows:
the invention provides an intelligent sports test system for sports teaching, which ensures the authenticity of a test student by utilizing an intelligent identity recognition unit according to real-time face acquisition and whole-body data acquisition, establishes mimicry of a test item area and generates mimicry of the student, monitors and compares the mimicry of an intelligent mimicry scene and mimicry character with the monitoring of a motion track, and simultaneously carries out intelligent judgment marking on the motion track of the whole dynamic and static limbs in the mimicry scene, thereby realizing automatic, standardized and intelligent sports test, automatically and correctly calculating test results, quantitatively calculating test process data, correctly judging normative actions and non-normative actions, analyzing teaching and learning progress data of the student, thereby providing a targeted exercise prescription, effectively avoiding the impersonation top substitution test in the test, and effectively reducing the omission and errors of manual judgment caused by accidents, tamper and the like in the test process.
Drawings
FIG. 1 is a system frame diagram of the present invention;
FIG. 2 is a structural frame diagram of a control end of a detection center of the present invention;
FIG. 3 is a structural frame diagram of an identity acquisition unit of the present invention;
FIG. 4 is a structural frame diagram of a detection sensing unit of the present invention;
fig. 5 is a structural framework diagram of the pseudo-synchronization unit of the present invention.
1, an intelligent test system; 101. monitoring a central control end; 10101. detecting a processing center; 10102. a control key; 10103. an image data storage unit; 10104. a marking module; 10105. an image data comparison unit; 10106. an image acquisition processing unit; 102. an identity acquisition unit; 10201. a face authentication unit; 10202. an identity authentication unit; 10203. a whole body authentication unit; 103. a storage module; 104. a data interaction unit; 105. a detection sensing unit; 10501. a human body tracking unit; 10502. item fixed-point tracking; 10503. a fixed-point sensing unit; 10504. a region positioning module; 106. a mimicry synchronization unit; 10601. mimicry a synchronous model; 10602. a target tracking unit; 10603. synchronizing the target model; 10604. the region models are synchronized.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
as shown in fig. 1-5, an embodiment of the present invention provides an intelligent sports test system for sports teaching, which includes an intelligent test system 1, where the intelligent test system 1 includes a monitoring center control end 101 for overall system control and test determination, an identity acquisition unit 102 for acquiring identity information of a test learner, a storage module 103 for storing test data, a data interaction unit 104 for data information matching, a detection sensing unit 105 for intelligent monitoring, and a mimicry synchronization unit 106 for intelligent mimicry, and the detection sensing unit 105 includes a plurality of sensors, a plurality of tracking cameras, and a panoramic field camera that are electrically connected.
The monitoring center control end 101 comprises a detection processing center 10101 based on a deep learning algorithm and a convolutional nerve, a control key 10102 with a plurality of instruction keys, an image data storage unit 10103, a marking module 10104 for error warning, an image data comparison unit 10105 for intelligent recognition and an image acquisition processing unit 10106 for processing acquired information, and is operated and used by different operation commands of the plurality of instruction keys based on the deep learning algorithm and the convolutional nerve as the detection processing center 10101 by utilizing the embedded processor, wherein the operation keys comprise a plurality of keys such as test item area switching, test item zeroing and starting, and key operation and use are convenient according to different needs.
The image acquisition processing unit 10106 is electrically connected with the detection sensing unit 105 and the mimicry synchronization unit 106 and the detection processing center 10101, the image data comparison unit 10105 is electrically connected with the mimicry synchronization unit 106 and the detection processing center 10101 and the marking module 10104, the image acquisition processing unit 10106 collects scene data of a test item area and data of a student to be tested according to the detection sensing unit 105, converts the collected data into the mimicry synchronization unit 106 to generate mimicry, the mimicry synchronization unit 106 performs the synchronous simulation of dynamic and static movement limbs of the student and punctation states of the test item in the test process, intelligent test is completed, and finally the marking module 10104 performs marking of each ring node, so that test result judgment is completed.
The identity acquisition unit 102 comprises a face authentication unit 10201, an identity authentication unit 10202 and a whole body authentication unit 10203, wherein the face authentication unit 10201 and the whole body authentication unit 10203 adopt a real-time authentication mode, the identity authentication unit 10202 performs identity recognition authentication based on the face authentication unit 10201, and the operation method of the identity acquisition unit 102 is as follows:
A. after the system is activated, the trainee to be detected carries out face real-time authentication, and generates the face information of the current trainee, and matching is carried out according to the trainee data stored in the system;
B. after matching is completed, the system acquires whole body information of the student again, including whole body illumination and height data, generates anthropomorphic character data by utilizing the data, and loads the anthropomorphic character data into the anthropomorphic environment of the current project area to be detected, so that final identity acquisition is completed.
The detection sensing unit 105 comprises a human body tracking unit 10501, an item fixed point tracking unit 10502, a fixed point sensing unit 10503 and a region positioning module 10504, wherein the human body tracking unit 10501 comprises human body limb state dynamic tracking and static limb positioning, the item fixed point tracking unit 10502 performs test item preset point tracking based on a test item, the human body tracking unit 10501 performs human body limb dynamic and static fixed point tracking by using a limb state sensing camera, the limb dynamic and static track judgment is completed, the test completion point of the test item is tracked by using the item fixed point tracking unit 10502, the accurate statistic of the result point of the test item of a student is determined, the fixed point sensing unit 10503 performs human body positioning by using a fastening type positioning sensor and synchronizes the positioning point in a test item mimicry scene, and the region positioning module 10504 performs test point positioning and global azimuth fixed point on the test item region scene to complete synchronization association of the mimicry and real data.
The mimicry synchronization unit 106 comprises a mimicry synchronization model 10601, a target tracking unit 10602, a target model synchronization 10603 and an area model synchronization 10604, wherein the mimicry synchronization unit 106 performs mimicry model establishment with dynamic motion based on data acquired by the image acquisition processing unit 10106 through the detection sensing unit 105, and the mimicry synchronization unit 106 is utilized to perform mimicry generation on an actual test item area and perform multi-dimensional fixed-point tracking record, so that real-time property, intelligence and complete record of the data are ensured.
The application method of the intelligent sports test system for sports teaching specifically comprises the following steps:
s1, identity verification
Performing student identity verification, including real-time face recognition and whole body recognition, through the identity acquisition unit 102;
after the system is activated, the face authentication unit 10201 is utilized to authenticate the face of a student to be detected in real time, and current student face information is generated, matching is carried out according to student data of the memory module 103 in the system, after matching is completed, the system utilizes the whole body authentication unit 10203 to acquire whole body information of the student again, including whole body illumination and height data, and the data is utilized to generate mimicry character data to be loaded into a mimicry environment of a current project area to be detected, so that final identity acquisition is completed;
s2, mimicry establishment
Acquiring required data by using a plurality of sensors, a plurality of tracking cameras and a panoramic field camera of the detection sensing unit 105, processing the acquired data by the image acquisition processing unit 10106, and then transferring the acquired data into the mimicry synchronization unit 106 to generate a required test project area mimicry environment and a to-be-tested trainee mimicry character to be established, acquiring and tracking a limb form which is tested and displayed by a trainee, intelligently monitoring the mimicry character and the mimicry environment, and dynamically tracking the limb form and a static limb form in real time and carrying out fixed point tracking on a project test point;
s3, testing and judging
According to the data of the mimicry synchronization unit 106, the project fixed point tracking 10502 is utilized to track the test completion point of the test project, the accurate statistics of the result point of the test project of a student are determined, the fixed point sensing unit 10503 utilizes the fastening type positioning sensor to perform human body positioning, and synchronize the positioning point in the mimicry scene of the test project, meanwhile, the region positioning module 10504 performs test point positioning and global azimuth fixed point on the region scene of the test project, synchronous association of mimicry and real data is completed, the image data comparison unit 10105 and the marking module 10104 are utilized to analyze, compare and mark, wherein the comparison value comprises a threshold value in a preset range, the marking module 10104 marks points exceeding the threshold value in the preset range, and the comprehensive test result judgment is performed according to the statistics of the marking point and the fixed point tracking of the project test point.
Through the mimicry establishment and the mimicry generation of the test item area, intelligent mimicry scenes and the mimicry character limb monitoring are utilized to be compared with the monitoring of the motion trail, meanwhile, intelligent judgment marks are carried out on the overall dynamic and static limb motion trail in the mimicry scenes, automatic, standardized and intelligent sports test is achieved, test results are automatically and correctly calculated, test process data are quantitatively calculated, standard actions and non-standard actions are correctly judged, teaching and learning progress data of a learner are analyzed, and therefore a targeted exercise prescription is given, the impersonation top substitution test in the test can be effectively avoided, and omission and errors of manual judgment caused by accidents, mess and the like in the test process are effectively reduced.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. The utility model provides a sports teaching intelligence sports test system, includes intelligent test system (1), its characterized in that: the intelligent test system (1) comprises a monitoring center control end (101) for whole system control and test judgment, an identity acquisition unit (102) for acquiring identity information of a test student, a storage module (103) for storing test data, a data interaction unit (104) for data information matching, a detection sensing unit (105) for intelligent monitoring and a mimicry synchronization unit (106) for intelligent mimicry.
2. The intelligent physical education testing system as claimed in claim 1, wherein: the monitoring center control end (101) comprises a detection processing center (10101) based on a deep learning algorithm and convolutional nerves, a control key (10102) with a plurality of instruction keys, an image data storage unit (10103), a marking module (10104) for error warning, an image data comparison unit (10105) for intelligent recognition and an image acquisition processing unit (10106) for processing acquired information.
3. The intelligent physical education testing system as claimed in claim 2, wherein: the image acquisition processing unit (10106) is electrically connected with the detection sensing unit (105) and is electrically connected with the mimicry synchronization unit (106) and the detection processing center (10101), and the image data comparison unit (10105) is electrically connected with the mimicry synchronization unit (106) and is electrically connected with the detection processing center (10101) and the marking module (10104).
4. The intelligent physical education testing system as claimed in claim 1, wherein: the identity acquisition unit (102) comprises a face authentication unit (10201), an identity authentication unit (10202) and a whole body authentication unit (10203), wherein the face authentication unit (10201) and the whole body authentication unit (10203) adopt a real-time authentication mode, and the identity authentication unit (10202) performs identity recognition authentication based on the face authentication unit (10201).
5. The intelligent physical education testing system as claimed in claim 1, wherein: the detection sensing unit (105) comprises a human body tracking unit (10501), an item fixed point tracking unit (10502), a fixed point sensing unit (10503) and a region positioning module (10504), wherein the human body tracking unit (10501) comprises human body limb state dynamic tracking and static limb positioning, and the item fixed point tracking unit (10502) performs test item preset point tracking based on test items.
6. The intelligent physical education testing system as claimed in claim 1, wherein: the mimicry synchronization unit (106) comprises a mimicry synchronization model (10601), a target tracking unit (10602), a target model synchronization (10603) and a region model synchronization (10604), wherein the mimicry synchronization unit (106) performs mimicry model establishment with dynamic motion based on data acquired by the detection sensing unit (105) of the image acquisition processing unit (10106).
7. The intelligent physical education testing system as claimed in claim 1, wherein: the detection sensing unit (105) comprises a plurality of sensors, a plurality of tracking cameras and a panoramic field camera which are electrically connected.
8. The application method of the intelligent sports test system for sports teaching is characterized by comprising the following steps of:
s1, identity verification
Performing student identity verification, including real-time face recognition and whole body recognition, through an identity acquisition unit (102);
s2, mimicry establishment
The monitoring center control end (101), the detection sensing unit (105) and the mimicry synchronization unit (106) are utilized to carry out test item area mimicry establishment and to-be-tested student mimicry establishment, and real-time dynamic and static limb state tracking and item test point fixed-point tracking are carried out;
s3, testing and judging
According to the data of the mimicry synchronization unit (106), an image data comparison unit (10105) and a marking module (10104) are utilized to conduct analysis comparison and marking, wherein the comparison value comprises a threshold value in a preset range, the marking module (10104) marks points exceeding the threshold value in the preset range, and comprehensive test result judgment is conducted according to marking point statistics and project test point fixed-point tracking.
CN202310503876.7A 2023-05-06 2023-05-06 Sports teaching intelligence sports test system Withdrawn CN116503214A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117746477A (en) * 2023-12-19 2024-03-22 景色智慧(北京)信息科技有限公司 Outdoor face recognition method and device, electronic equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117746477A (en) * 2023-12-19 2024-03-22 景色智慧(北京)信息科技有限公司 Outdoor face recognition method and device, electronic equipment and storage medium

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Application publication date: 20230728