CN110420445A - A kind of squash training method and device based on augmented reality - Google Patents
A kind of squash training method and device based on augmented reality Download PDFInfo
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- CN110420445A CN110420445A CN201910666055.9A CN201910666055A CN110420445A CN 110420445 A CN110420445 A CN 110420445A CN 201910666055 A CN201910666055 A CN 201910666055A CN 110420445 A CN110420445 A CN 110420445A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B69/00—Training appliances or apparatus for special sports
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- 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
- A63B71/04—Games or sports accessories not covered in groups A63B1/00 - A63B69/00 for small-room or indoor sporting games
-
- 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
-
- 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
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
-
- 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
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
- A63B2071/0638—Displaying moving images of recorded environment, e.g. virtual environment
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2102/00—Application of clubs, bats, rackets or the like to the sporting activity ; particular sports involving the use of balls and clubs, bats, rackets, or the like
- A63B2102/06—Squash
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- 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
- A63B2220/05—Image processing for measuring physical parameters
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a kind of squash training method and device based on augmented reality, under this application scenarios of squash training, equipment is shown by augmented reality to provide virtual training scene and visual feedback for trainer, it include: to choose suitable place first, initialize Training scene, and the track of squash is tracked during training and by the drop point of squash compared with regulation hitting region carries out analysis, it is presented on relevant device in a manner of augmented reality in real time, visual feedback is provided for trainer, to realize the purpose for helping trainer's training.The present invention effectively can help trainer to be trained, low to the dependence of environment, be trained with can be convenient.
Description
Technical field
The present invention relates to athletic training field, especially a kind of squash training method based on augmented reality.
Background technique
Squash is an indoor project, so it can not be limited by season, weather, it is a round-the-clock movement.
The rule of squash is relatively simple, and it is a movement suitable for people of all ages that the participation age is also very extensive.
But there is also a series of problems for current squash training: on the one hand, carries out squash training and need special place, this
Greatly limit the place for carrying out squash training；On the other hand, when being trained, trainer can only judge according to naked eyes
The case where batting, lacks visual feedback, while being also difficult the process that will be trained and result quantization, can only blindly be instructed
Practice.
Summary of the invention
Goal of the invention: in order to overcome the problems, such as that squash training result of the existing technology is difficult to quantify, and one kind is provided
Squash training method and device based on augmented reality, can help trainer to be preferably trained.
A kind of technical solution: squash training method based on augmented reality, comprising the following steps:
Training scene is initialized as Training scene Step 1: providing flat wall, and is set to subregion；
Step 2: using the track of tracing algorithm trackball, and track is shown in a manner of augmented reality and is set in augmented reality
It is standby upper；
Step 3: obtaining ball by the track strikes the drop point on wall, the drop point is shown in augmented reality equipment；
Step 4: the current all training datas of real-time display, when the drop point of ball is in score region, to current all
Training data is updated and shows, updates the scoring event of statistics；
Step 5: passing through the ratio between the scoring event of statistics and the drop point and preset training objective drop point of last batting
Compared with providing training guidance.
Further, step 1 includes:
(a1) flat wall is provided, the boundary of wall, defined area are detected by Canny edge detection algorithm, and described in utilizing
The length and width comparison area of wall is modified, and obtains rectangular area as Training scene；
(a2) it is trained scene initialization, Training scene is rendered according to pre-set texture, and in training place
Score region is marked off on scape.
Further, in step (a2), Training scene is preset as pure white, uses Chinese red solid line as score region line,
Entire Training scene is divided into multiple and different score regions.
Further, the tracing algorithm in step 2 includes:
(b1) ball is green ball, and the track of alignment algorithm trackball is utilized according to color and shape, and the alignment algorithm includes:
Acquired image is converted into yuv format, all green areas are extracted from image；
Track is extracted to all green areas；
Hough-circle transform is carried out to all obtained tracks, trajectory shape is extracted, obtained approximate positive round is considered as ball；
(b2) track of ball is visualized, the visualization includes:
The change in location of ball in adjacent two frame is added in the track image for saving adjacent two frame；
Utilize red line segment track drafting；
The more early line segment transparency that track is added is higher.
Further, the preparation method of drop point includes: in step 3
(c1) drop point is judged by the track of ball, comprising:
Constantly the slope of the line segment of track is newly added in measurement and preservation, the slope are averaged acquisition with moving average method；
Until the slope differences that the slope for the line segment being newly added is recorded with the last time are away from greater than preset threshold value, then it is assumed that touched
It hits；
Using the starting point of the line segment of the new addition as the drop point of ball；
(c2) drop point of ball is recorded, and visualizes the drop point of ball three times recently；
(c3) visualization of score is carried out according to the drop point of ball, comprising:
Ball is fallen in any one score region, is just carried out corresponding visualization display to the drop point of ball, is used different colours area
Divide different scoring events；
The more early field color transparency hit is higher.
Further, the training data in step 4 includes total training time, batting number, number of hits, score, hits rate.
Further, the training guidance in step 5 includes:
Rate will be hit as the training factor, the training factor is between 0 to 1, the distribution of ball position when which determines trained
Degree；
If the training factor is closer to 1, suggested position is more dispersed；The training factor is closer to 0, then suggested position concentrates on the last time
The drop point of ball.
Further, the algorithm of training objective drop point selection are as follows:
Using the drop point of last ball as the center of circle, training factor x base radius is the radius of circle, and is included in present score region
Region is drop point region；Drop point of the position as ball is selected in drop point region at random,
Wherein, base radius is the half of Training scene width.
Further, score region is divided into three pieces, and the drop point for falling in different score regions is shown using different colours.
A kind of squash training device based on augmented reality, including memory, processor and storage are on a memory and can
The computer program run on a processor, realization when processor executes the program:
Step 1: initializing to Training scene, and it is set to subregion；
Step 2: using the track of tracing algorithm trackball, and track is shown in a manner of augmented reality and is set in augmented reality
It is standby upper；
Step 3: obtaining ball by the track strikes the drop point on wall, the drop point is shown in augmented reality equipment；
Step 4: the current all training datas of real-time display, when the drop point of ball is in score region, to current all
Training data is updated and shows, updates the scoring event of statistics；
Step 5: the drop point of scoring event and last batting by counting provides training guidance.
A kind of squash training method and device based on augmented reality provided by the invention has compared with prior art
Following technical effect:
The squash training of requirement limitation this invention removes to(for) place, can be using any one flat wall as training place
Ground is trained；
The present invention visualizes the motion process of squash, also increases trainer to the view of batting while increasing interest
Feedback in feel；
The present invention has counted the training data of trainer simultaneously, and trainer can be helped to be best understood from the process of oneself training,
And instructed accordingly according to trained result, enhance training effect.
Detailed description of the invention
Fig. 1 is the squash training method flow chart based on augmented reality.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples.
As shown in Figure 1, the invention discloses a kind of squash training method based on augmented reality, utilizes augmented reality eye
Eyeball visualizes the motion profile and drop point of ball, and counts training result and trainer is helped to be trained, including following step
It is rapid:
Step a, it provides one side flat wall, is trained scene initialization, is set to subregion, specific step is as follows；
A1, the suitable flat wall of one side is found, detects the boundary of wall by Canny edge detection algorithm, defined area, and
It is modified using the length and width comparison area of the wall, finally obtains rectangular area as Training scene；
A2, it is trained scene initialization, wall is rendered according to pre-set texture, be preset as pure white wall
Wall.And use the heavy line of Chinese red as score region line on wall, by entire training wall be divided into three it is different
Score region；
Step b, start to train, using the track of track algorithm trackball, and carry out visualization display in augmented reality equipment,
Specific step is as follows for it；
B1, the ball used are green ball, convenient for carrying out the tracking of ball under complex scene.It is utilized by color and shape and compares calculation
Method comes the track of trackball；
Specific comparison method is as follows:
(1) acquired image is converted into yuv format, the viridescent region of institute is extracted from image；
(2) track is extracted to all green areas；
(3) hough-circle transform is carried out to all obtained tracks, extracts trajectory shape, found if available approximate positive round
Ball.
B2, the track of ball is visualized；
Specific method for visualizing is as follows:
(1) image for saving adjacent two frame, the change in location of ball in adjacent two frame is added among track；
(2) track is visualized using red line segment；
(3) the more early section transparency that track is added is higher.
Step c, visualization ball strikes the drop point on wall, carries out the visual feedback in terms of score, specific steps are such as
Under；
C1, the judgement collided by the track of ball judge drop point, specifically judge that collision method is as follows:
(1) slope of the new line segment that track is added constantly is measured, and is preserved, is averaged with moving average method；
(2) until the slope of line segment that is newly added and the last slope differences saved are away from being greater than preset threshold value, then it is assumed that occur
Collision；
(3) using the starting point for the line segment being newly added as the drop point of ball.
C2, the drop point for recording ball, and visualize the drop point of ball three times recently:
C3, the visualization that score is carried out according to the drop point of ball:
Specific visualized algorithm is as follows:
(1) wall is divided into several score regions, ball is fallen in any one score region, is just carried out to the drop point of ball corresponding
Visualization display, using green, orange, the different colours such as red distinguish different scoring events；
(2) the more early field color transparency hit is higher, distinguishes sequencing with this.
Step d, the current all training datas of real-time display, each ball are hit to after effective coverage, to currently trained system
It counts and is updated, and be shown in the upper right corner in the visual field, the training data of display includes:
(1) total training time；
(2) batting number；
(3) number of hits；
(4) score；
(5) rate is hit.
Step e, by counting the scoring event of trainer and the hitting point and preset training objective drop point of last time
Between comparison, to the guidance that trainer is trained, specific step is as follows.
E1, strategy is directed concretely are as follows:
(1) rate will be hit as the training factor, the training factor is between 0 to 1, point of ball position when which determines trained
Cloth degree；
(2) factor shows that trainer is more skilled closer to 1, then hitting point suggested position is more dispersed, to play trained mesh
's；
(3) factor shows that trainer is more unskilled closer to 0, then hitting point suggested position concentrates on the drop point of last ball, side
Trainer is helped quickly to be familiar with.
E2, training objective drop point selection algorithm are as follows:
(1) using the drop point of last ball as the center of circle, factor x base radius is the radius of circle, and is included in present score region
Region is drop point region；
(2) drop point of the position as ball is wherein being selected at random；
(3) base radius is the half of training court width.
A kind of squash training device based on augmented reality, including memory, processor and storage are on a memory and can
The computer program run on a processor, realization when processor executes the program:
Step 1: initializing to Training scene, and it is set to subregion；
Step 2: using the track of tracing algorithm trackball, and track is shown in a manner of augmented reality and is set in augmented reality
It is standby upper；
Step 3: obtaining ball by the track strikes the drop point on wall, the drop point is shown in augmented reality equipment；
Step 4: the current all training datas of real-time display, when the drop point of ball is in score region, to current all
Training data is updated and shows, updates the scoring event of statistics；
Step 5: passing through the ratio between the scoring event of statistics and the drop point and preset training objective drop point of last batting
Compared with providing training guidance.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Claims (10)
1. a kind of squash training method based on augmented reality, which comprises the following steps:
Training scene is initialized as Training scene Step 1: providing flat wall, and is set to subregion；
Step 2: using the track of tracing algorithm trackball, and track is shown in a manner of augmented reality and is set in augmented reality
It is standby upper；
Step 3: obtaining ball by the track strikes the drop point on wall, the drop point is shown in augmented reality equipment；
Step 4: the current all training datas of real-time display, when the drop point of ball is in score region, to current all
Training data is updated and shows, updates the scoring event of statistics；
Step 5: passing through the ratio between the scoring event of statistics and the drop point and preset training objective drop point of last batting
Compared with providing training guidance.
2. the squash training method according to claim 1 based on augmented reality, which is characterized in that step 1 includes:
(a1) flat wall is provided, the boundary of wall, defined area are detected by Canny edge detection algorithm, and described in utilizing
The length and width comparison area of wall is modified, and obtains rectangular area as Training scene；
(a2) it is trained scene initialization, Training scene is rendered according to pre-set texture, and in training place
Score region is marked off on scape.
3. the squash training method according to claim 2 based on augmented reality, which is characterized in that in step (a2), instruction
Practice scene and be preset as pure white, use Chinese red solid line as score region line, entire Training scene is divided into multiple and different obtain
Subregion.
4. the squash training method according to claim 1 based on augmented reality, which is characterized in that the tracking in step 2
Algorithm includes:
(b1) ball is green ball, and the track of alignment algorithm trackball is utilized according to color and shape, and the alignment algorithm includes:
Acquired image is converted into yuv format, all green areas are extracted from image；
Track is extracted to all green areas；
Hough-circle transform is carried out to all obtained tracks, trajectory shape is extracted, obtained approximate positive round is considered as ball；
(b2) track of ball is visualized, the visualization includes:
The change in location of ball in adjacent two frame is added in the track image for saving adjacent two frame；
Utilize red line segment track drafting；
The more early line segment transparency that track is added is higher.
5. the squash training method according to claim 3 based on augmented reality, which is characterized in that drop point in step 3
Preparation method includes:
(c1) drop point is judged by the track of ball, comprising:
Constantly the slope of the line segment of track is newly added in measurement and preservation, the slope are averaged acquisition with moving average method；
Until the slope differences that the slope for the line segment being newly added is recorded with the last time are away from greater than preset threshold value, then it is assumed that touched
It hits；
Using the starting point of the line segment of the new addition as the drop point of ball；
(c2) drop point of ball is recorded, and visualizes the drop point of ball three times recently；
(c3) visualization of score is carried out according to the drop point of ball, comprising:
Ball is fallen in any one score region, is just carried out corresponding visualization display to the drop point of ball, is used different colours area
Divide different scoring events；
The more early field color transparency hit is higher.
6. the squash training method according to claim 1 based on augmented reality, which is characterized in that the training in step 4
Data include total training time, batting number, number of hits, score, hit rate.
7. the squash training method according to claim 6 based on augmented reality, which is characterized in that the training in step 5
Guidance includes:
Rate will be hit as the training factor, the training factor is between 0 to 1, the distribution of ball position when which determines trained
Degree；
If the training factor is closer to 1, suggested position is more dispersed；The training factor is closer to 0, then suggested position concentrates on the last time
The drop point of ball.
8. the squash training method according to claim 7 based on augmented reality, which is characterized in that in step 5, training
The algorithm of target drop point selection are as follows:
Using the drop point of last ball as the center of circle, training factor x base radius is the radius of circle, and is included in present score region
Region is drop point region；Drop point of the position as ball is selected in drop point region at random,
Wherein, base radius is the half of Training scene width.
9. the squash training method according to claim 5 based on augmented reality, which is characterized in that score region is divided into three
Block, the drop point for falling in different score regions are shown using different colours.
10. a kind of squash training device based on augmented reality, which is characterized in that including memory, processor and be stored in
On reservoir and the computer program that can run on a processor, realization when processor executes the program:
Step 1: initializing to Training scene, and it is set to subregion；
Step 2: using the track of tracing algorithm trackball, and track is shown in a manner of augmented reality and is set in augmented reality
It is standby upper；
Step 3: obtaining ball by the track strikes the drop point on wall, the drop point is shown in augmented reality equipment；
Step 4: the current all training datas of real-time display, when the drop point of ball is in score region, to current all
Training data is updated and shows, updates the scoring event of statistics；
Step 5: the drop point of scoring event and last batting by counting provides training guidance.
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| CN110420445B (en) | 2020-10-16 |
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