CN101950495A - Novel video educational technology - Google Patents
Novel video educational technology Download PDFInfo
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- CN101950495A CN101950495A CN 201010511598 CN201010511598A CN101950495A CN 101950495 A CN101950495 A CN 101950495A CN 201010511598 CN201010511598 CN 201010511598 CN 201010511598 A CN201010511598 A CN 201010511598A CN 101950495 A CN101950495 A CN 101950495A
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Abstract
The invention relates to a novel video educational technology, which is characterized in that a video signal processing module decodes and transforms an educational video file into digital video signals and transmits the digital video signals to a CPU processing module to obtain a 'standard domain' for teaching; a user motion domain acquisition module captures body learning states of users in real time, transforms the learning states into digital video signals and obtains the 'motion domain' of the users in the CPU processing module; the 'motion domain' and the 'standard domain' are compared and judged in real time within the CPU; an instruction input module inputs instructions, controls the CPU processing module to transmit an active mode, a auxiliary mode and an appraisal mode; a display warning module can choose to output images of one of the three modes according to different instructions to guide the users to adopt the correct learning gesture and warn users of the incorrect learning gesture in real time. The invention features a technical scheme, a concrete implementation method and enjoys very good promotional value in application fields including the field of body exercise and fitness video education.
Description
Technical field
The present invention relates to a kind of novel video education device.
Background technology
Existing video education system, form is comparatively single, the user needs oneself to understand and carry out mimetism study, system can only provide the exemplary criteria of " bluring ", can not discern and judge and reminded user's malfunction, the user can form wrong custom in the action that makes a mistake like this, and follow-up just being difficult to corrected.
Summary of the invention
In view of this, the purpose of this invention is to provide a kind of novel video education device, be used to change the single educational mode of existing video, system can carry out correct guiding to the user, the learning posture that the user makes is judged accurately, user's wrong learning posture is reminded timely, the user is corrected as early as possible and break away from wrong learning posture, effectively accelerate the user learning progress, promote the user learning quality.
The present invention relates to a kind of novel video education device, comprise video signal processing module, user movement territory acquisition module, the CPU processing module, instruction input module and display alarm module, it is characterized in that: by video signal processing module the video education file is decoded to be converted into to send behind the digital video signal and utilize MEMC Algorithm Analysis frame of video to obtain " canonical domain " that teaching is used in the CPU processing module, user movement territory acquisition module is caught user's limbs learning state in real time and is converted into digital video signal, simultaneously in the CPU processing module, utilize MEMC algorithm real-time analysis frame of video to obtain user " motion field ", " motion field " carried out real-time comparison with " canonical domain " and judged in CPU inside, the instruction input module input instruction, control CPU processing module sends the aggressive mode of instructional video image and the demonstration of User Activity image synchronization, the auxiliary mode of User Activity territory and canonical domain comparison, User Activity territory and canonical domain comparison information are accumulated the examination pattern of scoring, the display alarm module can be exported the image of one of above-mentioned three kinds of patterns according to different Instruction Selection, the guiding user carries out correct study attitude, and the study attitude of mistake is carried out real-time prompting.
The video multimedia file can pass through WLAN, and online in real time such as CATV are obtained, also can be by reading CD, and the storage data above the hard disk etc. are obtained.
Sensor in the acquisition module of user movement territory adopts imageing sensor.
Instruction sending module is a TV remote controller, and the display alarm module then is made of picture output device and audio-frequence player device.
Apparatus of the present invention are carried out video display, in real time user action is instructed and correct, and can directly quantize to judge and correct errors and the student is carried out stage examination to have excellent popularization value to user's study situation in applications such as limb motion body-building video educations.
Description of drawings
Fig. 1 is the theory diagram of the embodiment of the invention.
Fig. 2 is the system chart of the embodiment of the invention.
Fig. 3 is the new technology functional block diagram of the embodiment of the invention.
Fig. 4 is the aggressive mode process flow diagram of the embodiment of the invention.
Fig. 5 is the auxiliary mode process flow diagram of the embodiment of the invention.
Fig. 6 is the examination model process figure of the embodiment of the invention.
Embodiment
As shown in Figure 1, a kind of novel video education device, comprise video signal processing module, user movement territory acquisition module, the CPU processing module, instruction input module and display alarm module, it is characterized in that: by video signal processing module the video education file is decoded to be converted into to send behind the digital video signal and utilize MEMC Algorithm Analysis frame of video to obtain " canonical domain " that teaching is used in the CPU processing module, user movement territory acquisition module is caught user's limbs learning state in real time and is converted into digital video signal, simultaneously in the CPU processing module, utilize MEMC algorithm real-time analysis frame of video to obtain user " motion field ", " motion field " carried out real-time comparison with " canonical domain " and judged in CPU inside, the instruction input module input instruction, control CPU processing module sends the aggressive mode of instructional video image and the demonstration of User Activity image synchronization, the auxiliary mode of User Activity territory and canonical domain comparison, User Activity territory and canonical domain comparison information are accumulated the examination pattern of scoring, the display alarm module can be exported the image of one of above-mentioned three kinds of patterns according to different Instruction Selection, the guiding user carries out correct study attitude, and the study attitude of mistake is carried out real-time prompting.
See also Fig. 2, Fig. 2 is a concrete theory diagram, and each functions of modules effect is as follows:
FLASH: storer, main effect is stored programme file and user related data;
DDR: random access memory, system's runtime data computing is used;
User instruction: the user controls system according to the needs of oneself;
CPU: processor, Decoder finishes to the decoding of the content of courses and through Scaler and handles output, and CCD is gathered the signal come handle, and the activity video of finishing the standard content of teaching and user in inside handles and mates, and exports then;
Display: video output shows;
AMP: amplifier, amplify sound signal;
Loudspeaker: the sound signal of front end is play;
Imageing sensor: the User Activity image is carried out video acquisition, be converted to digital video signal in real time;
The flow process of each module is described below:
Delivering to CPU after the resources material outside system gets access to carries out the real-time decoding processing and carries out the output of video and audio frequency, being sent to display after vision signal is handled through scaler shows, sound signal is sent to loudspeaker through amplifier and plays, the user learns by the information of display and loudspeaker, while imageing sensor synchronous acquisition user's activity video, being converted into vision signal then is sent to CPU and handles, CPU utilizes the mutual relationship between the video frame image, utilize the MEMC algorithm computation to go out motion module, respectively instructional map picture and user's real-time imaging are handled, obtain " canonical domain " and " user domain ", delivering to comparer then analyses and compares, judge again, carry out result's output according to judgement comparison situation, carry out the prompting of video and audio frequency when mistake takes place, the user in time corrects according to the carrying out of real-time analysis result situation mistake again, correctly keep, finish benign cycle.
Fig. 3 is the new technology functional block diagram, corresponding three kinds of new models, and instructional video image and User Activity image synchronization are shown as aggressive mode; User Activity territory and canonical domain comparison are auxiliary mode; User Activity territory and canonical domain comparison information are accumulated scoring be the examination pattern.The user sends the functional module that instruction can select to show oneself needs by telepilot.
Fig. 4 is the aggressive mode process flow diagram, and the User Activity image carries out data acquisition to the User Activity image in real time by imageing sensor, delivers to display after handling through video processor then and shows.The user can come lens focus is adjusted by showing actual effect, perhaps video processor Scaler parameter is adjusted, and reaches own video effect of being satisfied with.
Auxiliary mode is the tupe again of aggressive mode, and the video image of gathering is analyzed quantification treatment, user action is judged directly corrected errors that assisted user is learnt.
Fig. 5 is the process flow diagram of auxiliary mode, and this pattern is handled the video frame image of front-end collection, utilizes the mutual relationship between the picture frame to pass through MEMC(Motion Estimate and Motion Compensation; Being estimation and motion compensation) algorithm carries out analytical calculation to the picture frame of real-time video and can draw motion module, (Show Color can system preset to fill demonstration after this module extracted, it is self-defined also can to allow the user to carry out), obtain a canonical domain.
The user learns according to video and canonical domain information, imageing sensor is gathered the user learning situation synchronously in real time, (Show Color can system preset to utilize same processing mode that user's activity video is converted into user's motion field in real time, it is self-defined also can to allow the user to carry out), standard movement territory and user movement territory can directly be carried out otherness and be shown that the user can see the state of oneself and the state of standard intuitively in real time.
In real time user's the motion field and the motion field of standard are carried out the territory comparison then, if user's motion field is not in the motion field scope of standard or exceed canonical domain, then provide error prompting in real time, error prompting can directly can give a warning by audio frequency, indicate the part that the user exceeds the standard movement territory simultaneously, the user receives warning, can in time revise the action of oneself, changes oneself action into correct standard attitude.If user's motion field in canonical domain, then can not provide warning, the user continues to learn downwards with instructional video.
System can also assess scoring to the achievement that the user learnt, and can carry out stage the study situation is estimated, and with the inspection user learning outcome, this pattern is the examination pattern.
The examination model process as shown in Figure 6, the user selects to begin to estimate, the real-time activity image that system begins to analyze examination video and user obtains canonical domain and User Activity territory.System compares user's active scope and canonical domain; the comparison time opening is provided with to the user; comparison of every mistake at interval; system compares User Activity territory and canonical domain once; draw each score of user, and accumulate, when the user suspends or confirms to estimate end; system can carry out the COMPREHENSIVE CALCULATING score value according to the score of scoring number of times and each accumulation, and resultant score value is exactly the comprehensive grading of system to user's examination.
Standards of grading:
Scoring number of times=examination video time/be provided with and compare interval time;
Each score=(full marks 100/ scoring number of times) each comparison result of *;
Total points=each score accumulation.
The above only is preferred embodiment of the present invention, and all equalizations of being done according to the present patent application claim change and modify, and all should belong to covering scope of the present invention.
Claims (3)
1. novel video education device, comprise video signal processing module, user movement territory acquisition module, the CPU processing module, instruction input module and display alarm module, it is characterized in that: by video signal processing module the video education file is decoded to be converted into to send behind the digital video signal and utilize MEMC Algorithm Analysis frame of video to obtain " canonical domain " that teaching is used in the CPU processing module, user movement territory acquisition module is caught user's limbs learning state in real time and is converted into digital video signal, simultaneously in the CPU processing module, utilize MEMC algorithm real-time analysis frame of video to obtain user " motion field ", " motion field " carried out real-time comparison with " canonical domain " and judged in CPU inside, the instruction input module input instruction, control CPU processing module sends the aggressive mode of instructional video image and the demonstration of User Activity image synchronization, the auxiliary mode of User Activity territory and canonical domain comparison, User Activity territory and canonical domain comparison information are accumulated the examination pattern of scoring, the display alarm module can be exported the image of one of above-mentioned three kinds of patterns according to different Instruction Selection, the guiding user carries out correct study attitude, and the study attitude of mistake is carried out real-time prompting.
2. a kind of novel video education device according to claim 1 is characterized in that: the sensor in the acquisition module of user movement territory adopts imageing sensor.
3. a kind of novel video education device according to claim 1, it is characterized in that: instruction sending module is a TV remote controller, and the display alarm module then is made of picture output device and audio-frequence player device.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106464773A (en) * | 2014-03-20 | 2017-02-22 | 2Mee有限公司 | Augmented reality apparatus and method |
| CN107071559A (en) * | 2017-05-11 | 2017-08-18 | 大连动感智慧科技有限公司 | Many video comparison systems based on crucial frame synchronization |
| CN107210001A (en) * | 2015-01-13 | 2017-09-26 | 株式会社金尼克斯解决方案 | Use the autonomous learning systems of video segment |
| CN107293162A (en) * | 2017-07-31 | 2017-10-24 | 广东欧珀移动通信有限公司 | Move teaching auxiliary and device, terminal device |
| CN107592483A (en) * | 2016-07-06 | 2018-01-16 | 高福立 | A kind of intelligent assistant learning system and method |
| CN108961859A (en) * | 2017-05-19 | 2018-12-07 | 深圳市奥拓体育文化发展有限公司 | A kind of intelligent training equipment in gymnasium |
| CN110751050A (en) * | 2019-09-20 | 2020-02-04 | 郑鸿 | Motion teaching system based on AI visual perception technology |
| CN111081328A (en) * | 2019-12-20 | 2020-04-28 | 赛客（厦门）医疗器械有限公司 | Rehabilitation management system and method |
| CN112908065A (en) * | 2021-04-12 | 2021-06-04 | 杭州轻程网络技术有限公司 | System and method for improving adolescent physical quality based on running machine |
| CN113938720A (en) * | 2020-07-13 | 2022-01-14 | 华为技术有限公司 | Multi-device cooperation method, electronic device and multi-device cooperation system |
| CN115311913A (en) * | 2021-05-08 | 2022-11-08 | 咪付（广西）网络技术有限公司 | Action training system based on artificial intelligence |
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| CN110751050A (en) * | 2019-09-20 | 2020-02-04 | 郑鸿 | Motion teaching system based on AI visual perception technology |
| CN111081328A (en) * | 2019-12-20 | 2020-04-28 | 赛客（厦门）医疗器械有限公司 | Rehabilitation management system and method |
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| CN113938720A (en) * | 2020-07-13 | 2022-01-14 | 华为技术有限公司 | Multi-device cooperation method, electronic device and multi-device cooperation system |
| CN113938720B (en) * | 2020-07-13 | 2023-11-17 | 华为技术有限公司 | Multi-device cooperation method, electronic device and multi-device cooperation system |
| CN112908065A (en) * | 2021-04-12 | 2021-06-04 | 杭州轻程网络技术有限公司 | System and method for improving adolescent physical quality based on running machine |
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Application publication date: 20110119 |