CN115311913A - Action training system based on artificial intelligence - Google Patents
Action training system based on artificial intelligence Download PDFInfo
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- CN115311913A CN115311913A CN202110501276.8A CN202110501276A CN115311913A CN 115311913 A CN115311913 A CN 115311913A CN 202110501276 A CN202110501276 A CN 202110501276A CN 115311913 A CN115311913 A CN 115311913A
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Abstract
The invention discloses an action training system based on artificial intelligence, which comprises: the practical training instructor terminal comprises a practical training login module, a camera module, a video module, a display module, an action identification module and an action grading module, and the rear-end management and control platform comprises a system management module and a practical training learning module. The action training system based on artificial intelligence is beneficial to the independent learning and training of the trainees by utilizing fragmented time through intelligently scoring and commenting and guiding the normative of the training actions of the users, is convenient for the trainees to check the independent training playback to carry out enhanced improvement and training, and improves the action normative level of the trainees.
Description
Technical Field
The invention relates to the field of motion training, in particular to a motion training system based on artificial intelligence.
Background
In a traditional training mechanism, standardized action training is mainly carried out through centralized explanation and teaching demonstration by a teacher, face-to-face teaching and training are limited during epidemic situations, students cannot check own training playback to improve and strengthen exercises, training effects are often far away from expected training targets, and modern intelligent auxiliary training needs to be researched urgently to help the students to carry out autonomous learning and training by utilizing fragmented time and continuously improve standardized action skill level.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art, and provides an action training system based on artificial intelligence, which helps a student to perform autonomous learning and training by utilizing fragmented time, performs intelligent scoring and scoring guidance on the normalization of the training action of the student, and facilitates the student to check autonomous training playback to perform enhanced improvement exercise, thereby improving the skill level of standardized action.
In order to realize the purpose of the invention, the technical scheme is as follows:
an artificial intelligence-based action training system, comprising: the training instructor terminal comprises a training login module, a camera module, a video module, a display module, an action identification module and an action grading module, and the rear-end management platform comprises a system management module and a training learning module;
the practical training login module is used for practical training user login;
the camera module is used for shooting a user training video;
the video module is used for video playing and video recording;
the display module is used for displaying a system operation interface, a teaching video and a training video;
the action recognition module is used for recognizing a user training action;
the action scoring module is used for scoring the training action of the user;
the system management module is used for user account management and authority management;
the training learning module is used for managing user training and learning data.
Further, the practical training instructor terminal further comprises: and the action commenting module is used for commenting the training action of the user.
Further, the method also comprises the following steps: the APP teaching terminal comprises an APP login module and a practical training display module, the APP login module is used for logging in an APP user, and the practical training display module is used for displaying user training data and training videos.
Further, the APP teaching terminal further includes: learning module and exercise module, learning module is used for showing the study data, the exercise module is used for the APP user to carry out the exercise.
Further, the rear end management and control platform further comprises: the system comprises an APP user management module and an APP version management module, wherein the APP user management module is used for managing APP user registration and APP user information, and the APP version management module is used for managing APP version upgrading and updating.
Further, the rear end management and control platform further comprises: the system comprises an item bank management module and a learning management module, wherein the item bank management module is used for managing item bank data information, and the learning management module is used for managing learning data information.
Furthermore, the practical training instructor terminal further comprises a voice recording module, a voice recognition module and a voice scoring module, wherein the voice recording module is used for recording the training voice of the user, the voice recognition module is used for recognizing the training language of the user, and the voice scoring module is used for scoring the training language of the user.
Furthermore, the practical training instructor terminal further comprises a voice commenting module, and the voice commenting module is used for commenting the user training language.
Further, the training movement is used as a traffic command gesture movement.
(1) According to the action training system based on artificial intelligence, the trainees are guided to carry out autonomous learning training and evaluation by intelligently scoring and commenting the training actions of the users and the normalization of language, autonomous training playback can be checked, the pertinence of individual training is strong, and the training efficiency is high.
(2) The action training system based on artificial intelligence is beneficial to establishing a normalized actual combat training mechanism, guiding the student to fully utilize fragmentation time, strengthening autonomous learning and training, and enabling the student to continuously improve the standard action skill and language specification level through intelligent training and examination.
Drawings
FIG. 1 is a block diagram of an artificial intelligence based action training system according to an embodiment of the present invention.
FIG. 2 is a block diagram of an artificial intelligence based action training system according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention aims to provide an artificial intelligence-based action training system which helps a student to perform autonomous learning training by using fragmented time, scores the normalization of the training action of the student and guides personalized comment, and is convenient for the student to check autonomous training playback to perform enhanced improvement exercise, thereby improving the standard action skills and the language specification level. The principles and embodiments of the artificial intelligence based motion training system of the present invention will be described in detail below, so that those skilled in the art can understand the technical contents of the present invention without creative efforts.
Example one
FIG. 1 is a block diagram of an artificial intelligence based action training system according to an embodiment of the present invention. As shown in fig. 1, the artificial intelligence based action training system of the present invention includes: training instructor terminals and a rear-end management and control platform. The practical training instructor terminal comprises a practical training login module, a camera module, a video module, a display module, an action identification module, an action grading module and an action commenting module.
The training login module is mainly used for training user login. Specifically, the practical training login module comprises a first login module and a second login module; more specifically, the first login module is in a personal account login mode, the practical training user logs in by inputting an account number and a password, the second login module is in a two-dimensional code login mode, and the practical training user logs in by 'scanning and scanning' through WeChat.
The camera module is used for shooting training video of the training user. Specifically, the camera module is a binocular camera.
The display module is used for displaying a system operation interface, a teaching video, a training video and the like. Specifically, the display module is an LED display screen.
The video module is used for teaching video playing and training video recording. Specifically, the action training system based on artificial intelligence of the embodiment is divided into a training mode and an examination mode, and in the training mode, a teaching video and a training video of a practical training user recorded in real time can be synchronously played. In the examination mode, no teaching prompt exists, and only the training video of the practical training user shot and recorded in real time is played. Specifically, the training is traffic command action training. Through playing the training video of the training user, the user can observe the own practical training action, and the standardization of the action is improved in a relatively accurate and strengthened way.
The action recognition module is used for recognizing training actions of the training users. Specifically, the training action is a traffic guidance gesture action, including: a stop gesture, a straight gesture, a left turn gesture, a right turn gesture, a left turn to turn gesture, a lane change gesture, a slow down gesture, an edge parking gesture, and the like. And the action recognition module recognizes the training action through the 3D convolutional neural network. The action scoring module is used for scoring the training action of the user, and the action commenting module is used for commenting the training action of the user. Specifically, the action scoring module gives a score by combining the standard action and the difference analysis of the training action key points, the standard action is a corresponding teaching action in the teaching video, and in this embodiment, the teaching action is taken as an 8-traffic command gesture action. The action commenting module is used for commenting the difference between the training action and the standard action, for example, the commenting is as follows: the right front arm angle is to the right. Through grading and commenting, the user can know the standard degree of the training action of the user in real time.
The rear-end management and control platform comprises a system management module and a practical training learning module. The system management module is used for user account management and authority management. The training learning module is used for managing user training and learning data, the user can check the training and learning condition of the user through the functional module, and the normalized improvement and improvement of research actions are realized through the statistics of related data.
Example two
FIG. 2 is a block diagram of an artificial intelligence based action training system according to another embodiment of the present invention. As shown in fig. 2, the artificial intelligence based action training system of the present invention includes: training instructor terminal, APP teaching terminal and rear end management and control platform. Wherein, the practical training instructor terminal comprises a practical training login module, a camera module, a video module, a display module, an action identification module, an action scoring module, an action commenting module,Voice recording module, voice recognition module, voice scoring module and voice commenting module。
The practical training login module is mainly used for practical training user login. Specifically, the practical training login module comprises a first login module and a second login module; more specifically, the first login module is in a personal account login mode, the practical training user logs in by inputting an account number and a password, the second login module is in a two-dimensional code login mode, and the practical training user logs in by 'scanning and scanning' through WeChat.
The camera module is used for shooting training video of the training user. Specifically, the camera module is a binocular camera.
The display module is used for displaying a system operation interface, a teaching video, a training video and the like. Specifically, the display module is an LED display screen.
The video module is used for teaching video playing and training video inputting. Specifically, the action training system based on artificial intelligence of the embodiment is divided into a training mode and an examination mode, and in the training mode, a teaching video and a training video of a practical training user recorded by real-time shooting can be synchronously played. In the examination mode, no teaching prompt exists, and only the training video of the practical training user shot and recorded in real time is played. Specifically, the training is traffic command action training. Through playing the training video of the training user, the user can observe the own practical training action, and the standardization of the action is improved in a relatively accurate and strengthened way.
The action recognition module is used for recognizing training actions of the training users. And the action recognition module recognizes the training action through the 3D convolutional neural network. The action scoring module is used for scoring the training action of the user, and the action commenting module is used for commenting the training action of the user. Specifically, the action scoring module gives a score by combining the standard action and the difference analysis of the training action key points, and the standard action is the corresponding teaching action in the teaching video. The action commenting module is used for commenting the difference between the training action and the standard action.
The voice recording module is used for recording user training voice, and specifically, the voice recording module is a microphone. The speech recognition module is used for recognizing the training language of the user, and specifically, adopts a Huaqi speech online recognition engine to recognize the training language. The voice scoring module is used for scoring the training languages of the user, specifically, the language scoring is carried out by adopting keyword matching, and the more keywords are lacked, the lower the score is. The voice comment module is used for commenting the difference between the user training language and the standard expression, and the standard expression is the teaching language in the teaching video.
Preferably, in a specific training scenario, the total score of the simulated training action and the training language is 100, wherein the training action score is 85% of the total score, and the training language score is 15% of the total score.
The APP teaching terminal comprises an APP login module, a practical training display module, a learning module and an exercise module. The APP login module is used for logging in an APP user. The training display module is used for displaying user training data and training videos, and a user can check time statistics, score statistics, comment conditions, training video playback and the like of each training at any time through the training display module, and find out the difference between standard law enforcement and simulated training of the user so as to improve research. The learning module is used for displaying learning materials including contents such as video classes, classical cases, laws and regulations and the like, and is convenient for APP users to learn related contents by using spare time. The practice module is used for APP users to practice exercises, specifically, the exercises comprise knowledge problems of vehicle driving, management, traffic accident handling and the like, and preferably, three plate exercises such as 'practice every day', 'test every week' and 'wrong exercise strengthening' are arranged.
The rear-end management and control platform comprises a system management module, a practical training learning module, an APP user management module, an APP version management module, an item bank management module and a learning management module. The system management module is used for user account management and authority management. The training and learning module is used for managing user training and learning data, and training and learning conditions of the user, including training content, training time, training videos, scoring and commenting conditions, learning content, exercise completion conditions and the like, can be checked through the functional module. The APP user management module is used for managing APP user registration and APP user information, and functions of account opening, information modification, password resetting and the like of the APP user are achieved through the APP user management module. The APP version management module is used for managing upgrading and updating of the APP version, specifically, the APP updating of the IOS version is automatically updated through the apple APP store, the APP of the Android version is released through the APP version management module, the mobile phone client side with the installed APP can automatically detect a new APP version, and online updating is automatically carried out. The question bank management module is mainly used for managing question bank data information, a system administrator can edit and issue knowledge questions such as vehicle, driving, management and traffic accident handling through the question bank management module, and a user can conduct online answering exercise at the APP teaching terminal according to the category of post services. The learning management module is mainly used for managing learning material information, and a system administrator can edit and release teaching contents such as related videos, classes and cases through the learning management module, so that a user can conveniently read and learn at the APP teaching terminal.
In conclusion, the action training system based on artificial intelligence guides the user trainees to independently learn, train and evaluate through intelligently scoring and commenting the training actions of the user and the normalization of the language, and has strong individual training pertinence, flexible training time and high training efficiency. The action training system based on artificial intelligence is beneficial to establishing a normalized actual combat training working mechanism, guiding the trainees to fully utilize fragmentation time, strengthening autonomous learning and training, and continuously improving the service capability level of the trainees through repeated intelligent training and examination.
It will be understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principles of the present invention, and the present invention is not limited thereto. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. An artificial intelligence based action training system, comprising: the training instructor terminal comprises a training login module, a camera module, a video module, a display module, an action identification module and an action grading module, and the rear-end management platform comprises a system management module and a training learning module;
the practical training login module is used for practical training user login;
the camera module is used for shooting a user training video;
the video module is used for video playing and video recording;
the display module is used for displaying a system operation interface, a teaching video and a training video;
the action recognition module is used for recognizing a user training action;
the action scoring module is used for scoring the training action of the user;
the system management module is used for user account management and authority management;
the training learning module is used for managing user training and learning data.
2. The artificial intelligence based action training system of claim 1, wherein the training instructor terminal further comprises: and the action commenting module is used for commenting the training action of the user.
3. The artificial intelligence based action training system of claim 1, further comprising: the APP teaching terminal comprises an APP login module and a practical training display module, the APP login module is used for logging in an APP user, and the practical training display module is used for displaying user training data and training videos.
4. The artificial intelligence based motion training system of claim 3, wherein the APP teaching terminal further comprises: learning module and exercise module, the learning module is used for showing the study data, the exercise module is used for the APP user to carry out the exercise.
5. The artificial intelligence based action training system of claim 3, wherein the back-end management platform further comprises: the system comprises an APP user management module and an APP version management module, wherein the APP user management module is used for managing APP user registration and APP user information, and the APP version management module is used for managing APP version upgrading and updating.
6. The artificial intelligence based action training system of claim 4, wherein the backend management platform further comprises: the system comprises an item bank management module and a learning management module, wherein the item bank management module is used for managing item bank data information, and the learning management module is used for managing learning data information.
7. The artificial intelligence based action training system of claim 1, wherein the practical training instructor terminal further comprises a voice recording module, a voice recognition module and a voice scoring module, the voice recording module is used for recording user training voices, the voice recognition module is used for recognizing user training languages, and the voice scoring module is used for scoring the user training languages.
8. The artificial intelligence based action training system according to claim 1, wherein the practical training instructor terminal further comprises a voice commenting module for commenting on a user training language.
9. The artificial intelligence based action training system of claim 1, wherein the training action is a traffic guidance gesture action.
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