CN106669139A - Auxiliary selecting method for electronic-sport-game players - Google Patents
Auxiliary selecting method for electronic-sport-game players Download PDFInfo
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- CN106669139A CN106669139A CN201611098201.5A CN201611098201A CN106669139A CN 106669139 A CN106669139 A CN 106669139A CN 201611098201 A CN201611098201 A CN 201611098201A CN 106669139 A CN106669139 A CN 106669139A
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- player
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- impact point
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F9/00—Games not otherwise provided for
- A63F9/0096—Reaction time games
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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
- A63B69/0053—Apparatus generating random stimulus signals for reaction-time training involving a substantial physical effort
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- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Eye Examination Apparatus (AREA)
Abstract
The invention relates to an auxiliary selecting method for electronic-sport-game players. The auxiliary selecting method includes the steps that after players wear VR glasses, N target points of a VR scene appear according to the preset rule to guide the players to observe, wherein N is an integer larger than or equal to 1; the response speed of observation of the N target points of the players is counted so that auxiliary selecting of the players can be completed. By means of the auxiliary selecting method for the electronic-sport-game players in the embodiment, reaction speed of the appearing target points can be accurately and quantitatively measured, and subjective evaluation when the electronic-sport-game players are selected is avoided.
Description
Technical field
The present invention relates to electronic device field, the auxiliary choice method of more particularly to a kind of electric competing players.
Background technology
As Ministry of Education's vocational education and adult education department issue《Intend enrollment specially with regard to carrying out the tertiary vocational school in 2017
The notice of industry declaration work》, the New Specialty for 2016, the promotion of national policy are augmented in e-sports campaign and management profrssion
Become apparent from, it will be apparent that the degree for having promoted this motion to be received by broad masses, attract increasing people and join in this
Motion, many electricity election contest handss wish to represent the electric competing match of country's participation world high level, are that country strives for honor, therefore, it is right
Progressively paid attention to by industry in more potential electric competing athlete is selected.
For electric competing athlete, response speed is a kind of form of expression of speed quality.It is a kind of in electric competing game
Very important response speed is embodied in the time length found from the visual field required for target.For example, a response speed is
The people of 0.25s is fought to the finish with the people that response speed is 0.15s, and response speed is the people of 0.15s within the extremely short time
Target can just be found and taken action, and the talent that response speed is 0.25s has just realized the particular location of target, therefore, instead
Answer the advantage of fireballing people clearly.
At present, during electricity election contest handss are selected, also what method the electricity election contest handss can accurately be measured without and is found
The response speed of target, causes the appraisal procedure to this ability still relatively rough.
The content of the invention
Therefore, it is to solve technological deficiency and the deficiency that prior art is present, the present invention proposes a kind of electric competing players'
Auxiliary choice method, including：
After player wears VR glasses, there is N number of impact point to guide the player to enter according to preset rules in VR scenes
Row observation, wherein, N is the integer more than or equal to 1；
The response speed that the player is observed N number of impact point is counted, to complete the auxiliary to the player
Select.
On the basis of above-described embodiment, there is N number of impact point according to preset rules in VR scenes, including：
N number of impact point occurs simultaneously in the VR scenes；
Correspondingly, the response speed that the player is observed N number of impact point is counted, including：
Count the player and observe the total time finished used by all N number of impact points successively.
On the basis of above-described embodiment, there is N number of impact point according to preset rules in VR scenes, including：N number of target
Point occurs successively in the VR scenes；
Correspondingly, the response speed that the player is observed N number of impact point is counted, including：
The player is counted respectively it was observed that the time needed for each described impact point.
On the basis of above-described embodiment, the statistics player observes the time needed for each described impact point, bag
Include：
After player wears VR glasses, when to record moment that each described impact point occurred in VR scenes be first
Carve；The player is recorded it was observed that the moment of the impact point was the second moment；
To the impact point, the time interval between first moment and second moment is counted.
On the basis of above-described embodiment, before occurring N number of impact point successively according to preset rules in VR scenes, also wrap
Include：
Determine the pupil center of the player；
Determine the matching relationship between the pupil center of the player and player's point of observation.
On the basis of above-described embodiment, the pupil center of the player is determined, including：
The player wears VR glasses, and the VR eyes include infrared shooting equipment；
The infrared shooting equipment shoots to the eye of the player, forms eye frame；
The eye frame is processed, the pupil center of the player is obtained.
On the basis of above-described embodiment, the eye frame is processed, including：
The eyes image information is carried out into gray processing process, gradation of image hum pattern is obtained；
Determine the minimum point of gray value in described image half-tone information figure；
According to the point that the gray value is minimum, the pupil center of the player is determined.
On the basis of above-described embodiment, the matching between the pupil center of the player and player's point of observation is determined
Relation, including：
The Matching Model set up between the pupil center of the player and the point of observation of the player, the Matching Model
It is input into as the pupil center of the player, the Matching Model is output as according to the pupil center of the player obtains
The point of observation of player.
On the basis of above-described embodiment, set up between the pupil center of the player and the point of observation of the player
With model, including：
The player wears VR glasses and observes VR scenes, and the VR scenes include screen, go out successively on the screen
Point of observation known to existing K coordinate；
The player is observed successively the K points of observation, and is recorded the player and observed each described sight
Pupil center when examining；
According to the pupil center and the coordinate of the point of observation, the Matching Model is obtained.
On the basis of above-described embodiment, the response speed that the player is observed N number of impact point is counted, bag
Include：
Pupil center and the matching relationship according to the player, the user ought when being observed to determine the player
The position of front point of observation；
If the difference between the position of the position of user's current observation point and the impact point occurred according to preset rules
Less than threshold value, it is determined that the user successfully observes the impact point；
The interval that the moment that the impact point occurs successfully observes the moment of the impact point with the user is recorded, with
Complete the statistics to the response speed.
Become obvious by the other side and feature below with reference to the detailed description of accompanying drawing, the present invention.But should know
Road, the accompanying drawing is only the purpose design explained, not as the restriction of the scope of the present invention, this is because it should refer to
Appended claims.It should also be noted that unless otherwise noted, it is not necessary to scale accompanying drawing, they only try hard to concept
Ground explanation structure described herein and flow process.
Description of the drawings
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.
Fig. 1 is a kind of flow chart of the auxiliary choice method of electric competing players provided in an embodiment of the present invention.
Specific embodiment
It is understandable to enable the above objects, features and advantages of the present invention to become apparent from, below in conjunction with the accompanying drawings to the present invention
Specific embodiment be described in detail.
The present invention proposes a kind of auxiliary of electric competing players and selects method, the method to include：
After player wears VR glasses, there is N number of impact point to guide the player to enter according to preset rules in VR scenes
Row observation, wherein, N is the integer more than or equal to 1；
The response speed that the player is observed N number of impact point is counted, to complete the auxiliary to the player
Select.
Further, on the basis of above-described embodiment, there is N number of impact point, Ke Yishi according to preset rules in VR scenes：
N number of impact point occurs simultaneously in the VR scenes；
Correspondingly, the response speed that the player is observed N number of impact point is counted, including：
Count the player and observe the total time finished used by all N number of impact points successively.
Or, on the basis of above-described embodiment, there is N number of impact point according to preset rules in VR scenes, can also be：Institute
State N number of impact point to occur successively in the VR scenes；
Correspondingly, the response speed that the player is observed N number of impact point is counted, including：
The player is counted respectively it was observed that the time needed for each described impact point.
Further, on the basis of above-described embodiment, count the player and observe needed for each described impact point
Time, can be specifically：
After player wears VR glasses, when to record moment that each described impact point occurred in VR scenes be first
Carve；The player is recorded it was observed that the moment of the impact point was the second moment；
To the impact point, the time interval between first moment and second moment is counted.
Further, on the basis of above-described embodiment, occurs N number of impact point successively according to preset rules in VR scenes
Before, also execute the following steps：
Determine the pupil center of the player；
Determine the matching relationship between the pupil center of the player and player's point of observation.
Further, on the basis of above-described embodiment, the pupil center of the player is determined, can be using such as lower section
Formula：
The player wears VR glasses, and the VR eyes include infrared shooting equipment；
The infrared shooting equipment shoots to the eye of the player, forms eye frame；
The eye frame is processed, the pupil center of the player is obtained.
Further, on the basis of above-described embodiment, the eye frame is processed, following steps can be adopted：
The eyes image information is carried out into gray processing process, gradation of image hum pattern is obtained；
Determine the minimum point of gray value in described image half-tone information figure；
According to the point that the gray value is minimum, the pupil center of the player is determined.
Wherein, the eyes image information is carried out into gray processing process, obtains gradation of image hum pattern, specifically can be adopted
Following method：
Coordinate system is set up in gradation of image hum pattern, the original gradation that f0 (x, y) is the point that coordinate is (x, y) place is made
Value.The eye frame can be carried out into pretreatment, to increase the pupil region and non-pupil of player using operator is strengthened
The contrast of area image.The expression way that one of which strengthens operator En is as follows：
En=c*lg (1+double (f0))；
Wherein, to strengthen operator, f0 is original gray value to En, and c is constant coefficient.
Preferably, after the pretreatment to the eye frame has been performed, La Pula can also be adopted to image
This algorithm carries out image filtering process, preferably image can be carried out dry.
Wherein, on the basis of above-described embodiment, the minimum point of gray value in described image half-tone information figure is determined, can be with
Using following steps：
The minimum point of the gray value is estimated in gradation of image hum pattern, the coordinate for making the point is (xmin, ymin), and
And, the formula of xmin and ymin is：
Wherein, min is represented and is taken minimum operation, and sum represents summation operation, and f (i, j) is represented in coordinate (x, y) place image
Gray value.
Further, on the basis of above-described embodiment, according to the point that the gray value is minimum, the pupil of the player is determined
Hole center, can specifically adopt following steps：
It is the gradient that starting point calculates gray scale along specified directions of rays on gradation of image hum pattern with coordinate (xmin, ymin)
Value, and the position being located when Grad is reached into maximum is defined as the position of player's pupil edge point；
The pupil center of the player is obtained according to the position of the pupil edge point.
Wherein, Grad reaches the position that the position being located during maximum is defined as player's pupil edge point, and this is
Because：Pupil is inside and outside to have apparent difference to ultrared reflection.The image of shooting is stronger in pupil region light, brightness
It is high；In non-lesser ring of Merkel then dark images, brightness is low.Pupil region gray scale is significantly lower than other regions, at marginal position, gradient
Change is violent.In the image information crossed after processing, in a specified direction, the gray value of the gray value of lesser ring of Merkel and non-lesser ring of Merkel
There is violent change in intersection, in the Grad of intersection maximum can be also reached, the position of pupil edge point is judged accordingly.
For example, if f (i, j) is gray value of the image at coordinate (i, j) place, the partial differential of gray value is：
The then shade of gray of the directionD maximum point is pupil edge point.
Wherein, the pupil center of the player is obtained according to the position of the pupil edge point, can be adopted with the following method：
One center is asked to all of pupil edge point, specifically, all of pupil edge point is obtained respectively in coordinate
Central value xmean in the X direction of system and central value ymean on coordinate system y direction；
The center coordinate of eye pupil for determining the player is (xmean, ymean).
Wherein, the pupil center of the player is obtained according to the position of the pupil edge point, can also be using another kind
Method is as follows：
Multiple pupil edge points are carried out with process of fitting treatment and forms class elliptic curve, with the center of the class elliptic curve
As pupil center's point.
Specifically, the present invention adopts the one of method of least square (LSM) and stochastical sampling concordance (RANSAC) mixed iteration
Algorithm is planted, multiple pupil edge points is carried out with process of fitting treatment and is formed class elliptic curve.This method can either overcome a most young waiter in a wineshop or an inn
The not high shortcoming of multiplication precision, improves the ageing deficiency of RANSAC algorithms again.Comprise the following steps that：
Step a, any 5 points are chosen from N number of characteristic point, carry out ellipse fitting using method of least square and form the
One class elliptic equation；
Step b, N number of characteristic point is carried out using stochastical sampling consistency algorithm by the first kind elliptic equation
Intra-office point drawn game exterior point is screened, and statistics obtains M intra-office point and N-M point not in the know；
In the present embodiment, the point fallen on class ellipse, is considered as intra-office point.Certainly, the present invention is not limited herein
System.
Step c, judge intra-office point occupation rateWhether first threshold t1 is less than；If, it is determined that 5 points are
Atypical characteristics point, fitted ellipse is that atypical characteristics are oval, then re-execute step a；If not, it is determined that 5 points are
Characteristic feature point, then execution step d；
Step d, 5 points are arbitrarily chosen according to the M intra-office point, using method of least square to the first kind ellipse side
Journey is optimized to form Equations of The Second Kind elliptic equation, and passes through described using stochastical sampling consistency algorithm to N number of characteristic point
Equations of The Second Kind elliptic equation carries out the examination of intra-office point drawn game exterior point, and final statistics obtains M1 intra-office point and N-M1 points not in the know；
Step e, judge intra-office point occupation rateWhether Second Threshold t2 is more than；In this way, then iteration is terminated, it is believed that institute
Equations of The Second Kind elliptic equation is stated for Optimality equations；If it is not, then execution step d.
Alternatively, the embodiment of the present invention also provides another kind using method of least square (LSM) and stochastical sampling concordance
(RANSAC) multiple pupil edge points are carried out process of fitting treatment and form class elliptic curve by a kind of algorithm of mixed iteration.Tool
Body step is as follows：
Step S1：Any 5 points are chosen from N number of characteristic point, using LSM ellipse fitting is carried out, by remaining N-5 point
Bringing elliptic equation into using RANSAC carries out the examination of intra-office point drawn game exterior point, counts and have in N number of point M intra-office point, N-M
Point not in the know；
Step S2：If intra-office point occupation rateLess than threshold value t1, then it is assumed that 5 points that step S1 is chosen are SARS
Type characteristic point, fitted ellipse is that atypical characteristics are oval, jumps to step S1；IfThen think 5 that step S1 is chosen
Point characteristic feature point, then jump toward step S3；
Step S3：All bring the M intra-office characteristic point screened out in step S1 into LSM equations, obtain the ellipse of optimization
Equation, reuses RANSAC algorithms, and bringing new elliptic equation into N-M characteristic point carries out screening again for intra-office point, screens
Intra-office point be M1, point not in the know be N-M1；
Step S4：Calculate intra-office point occupation rateIf being more than threshold value t2, terminate iteration, it is believed that current ellipse
Equation is Optimality equations；IfThen think that intra-office point ratio cannot meet threshold value, jump into step S3, again iteration.
Further, on the basis of above-described embodiment, the pupil center of the player and player's point of observation are determined
Between matching relationship, Ke Yiwei：
The Matching Model set up between the pupil center of the player and the point of observation of the player, the Matching Model
It is input into as the pupil center of the player, the Matching Model is output as according to the pupil center of the player obtains
The point of observation of player.
Specifically, the Matching Model set up between the pupil center of the player and the point of observation of the player, step is such as
Under：
The player wears VR glasses and observes VR scenes, and the VR scenes include screen, go out successively on the screen
Point of observation known to existing K coordinate；
The player is observed successively the K points of observation, and is recorded the player and observed each described sight
Pupil center when examining；
According to the pupil center and the coordinate of the point of observation, the Matching Model is obtained.
Specifically, matched according to the coordinate (X, Y) of the K point of observation and the coordinate (x, y) of the pupil center
Model (X, Y)=F (x, y), can adopt with the following method：
Choosing the Matching Model is：
The matching mould is determined by the coordinate (X, Y) and corresponding pupil center's point coordinates (x, y) of the K point
Parameter a, b of type, c, d, e, f, g, h, k, l, m and n, to complete the foundation of the Matching Model.
Specifically, the coordinate record of the K point for occurring successively in screen is X=(X1,X2,X3…Xk), Y=(Y1,Y2,
Y3…Yk), corresponding center coordinate of eye pupil is x=(x1,x2,x3…xk), y=(y1,y2,y3…yk), the foundation of model then can be with
With following expression matrix：
F (x, y) represents a kind of relation of x and y, and M represents the mapping parameters between pupil center location and screen coordinate.
The model that the present invention sets up is as follows：
The model is expressed as using matrix form：
Then：
In this model, when taking K=6, to there is 6 screen coordinates, pupil accordingly also has 6 correspondence centre coordinates for X, Y,
X=| X1, X2, X3, X4, X5, X6|, Y=| Y1, Y2, Y3, Y4, Y5, Y6|, in the same manner, x=| x1, x2, x3, x4, x5, x6|, y=| y1,
y2,y3,y4,y5,y6|, then matrix above can be further rewritten as：
A, b, c, d, e, f, g, h, k, l, m and n are obtained by equation group, and then obtains the Matching Model.
Further, on the basis of above-described embodiment, the sound that the player is observed N number of impact point is counted
Answer speed, Ke Yiwei：
Pupil center and the matching relationship according to the player, the user ought when being observed to determine the player
The position of front point of observation；
If the difference between the position of the position of user's current observation point and the impact point occurred according to preset rules
Less than threshold value, it is determined that the user successfully observes the impact point；
The interval that the moment that the impact point occurs successfully observes the moment of the impact point with the user is recorded, with
Complete the statistics to the response speed.
A kind of auxiliary of electric competing players provided in an embodiment of the present invention selects method, can be measured with accurate quantification
The response speed of impact point of the player to occurring, it is to avoid the SUBJECTIVE occurred when pulling out to electricity election contest picking.
In sum, specific case used herein is set forth to the principle and embodiment of the present invention, the above
The explanation of embodiment is only intended to help and understands the method for the present invention and its core concept；Simultaneously for the general skill of this area
Art personnel, according to the thought of the present invention, will change in specific embodiments and applications, in sum, this
Description should not be construed as limiting the invention, and protection scope of the present invention should be defined by appended claim.
Claims (10)
1. a kind of auxiliary of electric competing players selects method, it is characterised in that include：
After player wears VR glasses, there is N number of impact point to guide the player to be seen according to preset rules in VR scenes
Examine, wherein, N is the integer more than or equal to 1；
The response speed that the player is observed N number of impact point is counted, is selected with completing the auxiliary to the player.
2. the method for claim 1, it is characterised in that VR scenes N number of impact point occur according to preset rules, including：
N number of impact point occurs simultaneously in the VR scenes；
Correspondingly, the response speed that the player is observed N number of impact point is counted, including：
Count the player and observe the total time finished used by all N number of impact points successively.
3. the method for claim 1, it is characterised in that VR scenes N number of impact point occur according to preset rules, including：
N number of impact point occurs successively in the VR scenes；
Correspondingly, the response speed that the player is observed N number of impact point is counted, including：
The player is counted respectively it was observed that the time needed for each described impact point.
4. method as claimed in claim 3, it is characterised in that statistics the player is observed needed for each described impact point
Time, including：
After player wears VR glasses, it was the first moment to record the moment that each described impact point occurred in VR scenes；Note
The player is recorded it was observed that the moment of the impact point was the second moment；
To the impact point, the time interval between first moment and second moment is counted.
5. the method for claim 1, it is characterised in that occur N number of target successively according to preset rules in VR scenes
Before point, also include：
Determine the pupil center of the player；
Determine the matching relationship between the pupil center of the player and player's point of observation.
6. method as claimed in claim 5, it is characterised in that determine the pupil center of the player, including：
The player wears VR glasses, and the VR eyes include infrared shooting equipment；
The infrared shooting equipment shoots to the eye of the player, forms eye frame；
The eye frame is processed, the pupil center of the player is obtained.
7. method as claimed in claim 6, it is characterised in that process the eye frame, including：
The eyes image information is carried out into gray processing process, gradation of image hum pattern is obtained；
Determine the minimum point of gray value in described image half-tone information figure；
According to the point that the gray value is minimum, the pupil center of the player is determined.
8. method as claimed in claim 5, it is characterised in that determine the pupil center of the player and player's point of observation
Between matching relationship, including：
The Matching Model set up between the pupil center of the player and the point of observation of the player, the input of the Matching Model
For the pupil center of the player, the Matching Model is output as the player obtained according to the pupil center of the player
Point of observation.
9. method as claimed in claim 8, it is characterised in that set up the pupil center of the player and the observation of the player
Matching Model between point, including：
The player wears VR glasses and observes VR scenes, and the VR scenes include screen, occurs K on the screen successively
Point of observation known to coordinate；
The player is observed successively the K points of observation, and is recorded the player and observed each described point of observation
When pupil center；
According to the pupil center and the coordinate of the point of observation, the Matching Model is obtained.
10. method as claimed in claim 5, it is characterised in that statistics the player is observed N number of impact point
Response speed, including：
Pupil center and the matching relationship according to the player, determine the player when being observed the user currently see
Examine position a little；
If the difference between the position of the position of user's current observation point and the impact point occurred according to preset rules does not surpass
Cross threshold value, it is determined that the user successfully observes the impact point；
The interval that the moment that the impact point occurs successfully observes the moment of the impact point with the user is recorded, to complete
Statistics to the response speed.
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| CN201611098201.5A CN106669139B (en) | 2016-12-03 | 2016-12-03 | Auxiliary election method for electric competition players |
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|---|---|---|---|
| CN201611098201.5A CN106669139B (en) | 2016-12-03 | 2016-12-03 | Auxiliary election method for electric competition players |
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| CN106669139B (en) | 2019-12-27 |
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