CN104318068B - Based on the visual athletics sports team matching model analogy method of string figure - Google Patents
Based on the visual athletics sports team matching model analogy method of string figure Download PDFInfo
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Abstract
The visual athletics sports team matching model analogy method of string figure is based on the invention discloses one kind, is comprised the following steps：Step 1: setting up the basic database of match relevant information；Step 2: the secondary attack information architecture string figure for the sportsman in live record of being competed according to single game, i.e.,：Each sportsman is divided into score sector and secondary attack sector, and its call and assists record are represented respectively, using string the corresponding secondary attack sector of both sides will be coordinated to be connected with score sector, so as to draw the detailed record of match；Step 3: according to the historical record data for information of mutually being assisted between sportsman in team, being clustered using Multidimensional Scaling method to sportsman, the two-dimensional coordinate of m vector being drawn, so as to obtain the clustering information of m sportsman；Compared with prior art, the present invention uses string figure the visual design, facilitates user to be best understood from and analyze the distribution of match score and sportsman's mated condition.
Description
Technical field
The present invention relates to the visual analysis technical field of information, the score contrasted using string figure between ball in play person coordinates letter
Breath carries out visual presentation and interaction analysis, inclines while analyzing the cooperation between team sportsman by Multidimensional Scaling method
To, and then effectively study the tactics framework of team.
Background technology
In sports team sporting contests, due to game plan and cooperation tendency, can often occur phase between the sportsman of part
Mutually coordinate score, these matching models are particularly significant for attacking and defending both sides, can be with specific aim by the matching model research of one's own side
Make tactics adjustment, and the associative mode for studying other side then can effectively see clearly tactics framework, and then arrange suitable defence
Strategy, therefore research team's Cooperation Strategy and pattern have broad application prospects.
It, in the emerging technology grown up in recent years, is spread out from scientific visualization and information visualization field that visual analysis, which is,
Product that is raw and being combined closely with application background, can helping user, more cognitive complex data is concurrent
Data easily and quickly are carried out visual analysis to solve by the pattern of existing data behind while user can combine interactive operation
Corresponding practical problem.
So far, although people's analysis and research of matching model in athletics sports match has been expanded largely
Work.Based on match video, people can be extracted to the Context event in video, be concluded, and can will coordinate Event Distillation
And show, but display form is more obscure, while the cooperation details between meeting lack part information, sportsman can not but have
Effect ground shows；By the way that the pattern in historical information of competing to be analyzed and handle, people can be to the technique and tactics of team
Exploratory development is carried out, but exhibition method is less directly perceived, user can not clearly know matching model；In addition, somebody passes through
Sportsman is considered as node, pass is considered as line, so that team is connected as network, but score information but can not effectively show
Show.
Cooperation information can intuitively, effectively be shown by not occurring one kind yet at present, while according to matching model Modeling Research ball
The method of team's repertoire.
The content of the invention
In order to overcome the limitation and deficiency of above-mentioned prior art, the present invention proposes a kind of based on the visual sports of string figure
Sports team matching model analogy method, with reference to visual analysis and statistical analysis, the cooperation information in score of competing fully is opened up
Show, and coordinate data to draw the matching model of team based on history, so that the repertoire of team is analysed in depth from different scale,
For relevant Decision, person provides technical support.
The present invention proposes a kind of based on the visual athletics sports team matching model analogy method of string figure, this method bag
Include following steps：
Step 1: setting up the basic database of match relevant information, including contain secondary attack promoter and secondary attack terminator
Single game compete live record, and, the mutual secondary attack historical data of every game is obtained also by official website between sportsman in team
, so as to coordinate sum between obtaining the sportsman within a racing season；
Step 2: the secondary attack information architecture string figure for the sportsman in live record of being competed according to single game, i.e.,：Each sportsman is divided into
Divide sector and secondary attack sector, its call and assists record are represented respectively, will coordinate the corresponding secondary attack of both sides using string
Sector is connected with score sector, so as to draw the detailed record of match；
Step 3: according to the historical record data for information of mutually being assisted between sportsman in team, using Multidimensional Scaling
Method is clustered to sportsman, and m vector is built under theorem in Euclid space and represents m sportsman, meets following energy-optimised equation
minΣI ＜ j(||Xi-Xj||-δI, j)2：
Minimum convergence result, i.e.,：The two-dimensional coordinate of m vector, so as to draw the clustering information of m sportsman；
Wherein, the distinct matrix of sportsman's distance is expressed as
M is the sum of sportsman, and n is the sum of statistics match,Represent between sportsman i and sportsman j
The sum mutually assisted in k field match；δ in distinct matrixI, jIt is expressed as
Wherein, δiRepresent certain sportsman i, δ in teamI, jRepresent the distance between sportsman i and sportsman j.The step 2
In, if being scored at autonomous singles' score, its sector of assisting is connected with the score sector of itself.
The summation for producing fraction is coordinated to be directly proportional between the width of the string and both sides, the number of times that both sides coordinate is more, always
Divide more, the width of string is also bigger.
Compared with prior art, beneficial effects of the present invention can be summarized as it is following some：
1st, using string figure the visual design, user is facilitated to be best understood from and analyze the distribution of match score and sportsman's cooperation feelings
Condition；
2nd, irrelevant information is filtered by interaction analysis, improves reading and cognitive ability of the user to key message；
3rd, the statistical analysis of historical statistical information is incorporated, improves and coordinates team the accuracy researched and analysed and comprehensively
Property.
Brief description of the drawings
Fig. 1 is the Bulls's score and secondary attack string figure of the embodiment of the present invention；
Fig. 2 is the Heat's score and secondary attack string figure of the embodiment of the present invention；
Fig. 3 is the Bulls lead man Ross score and secondary attack string figure of the embodiment of the present invention；
Fig. 4 is the Heat's lead man James score and secondary attack string figure of the embodiment of the present invention；
Fig. 5 is that the Heat sportsman of the combination historical information of the embodiment of the present invention coordinates Multidimensional Scaling figure；
Fig. 6 is a kind of bulk flow based on the visual athletics sports team matching model analogy method of string figure of the present invention
Journey schematic diagram.
Embodiment
The present invention is described in detail with reference to the accompanying drawings and detailed description, but the present invention practical range not
It is confined to this.
Using NBA as embodiment and the present invention is further elaborated with reference to accompanying drawing below.
The present invention's coordinates research method based on the visual athletics sports team of Multidimensional Scaling chord figure, including with
Lower step：
Step 1: setting up the basic database of match relevant information, database information derives from the live note of NBA official websites
Record, the live record of secondary attack promoter and secondary attack terminator (i.e. goal scorer) are contained in record, meanwhile, in team sportsman it
Between the mutual secondary attack historical data of every game obtained also by official website, so as to obtain matching somebody with somebody between the sportsman within a racing season
Close sum.
Step 2: in being competed according to single game sportsman secondary attack information architecture string figure, the sector of each sportsman's different colours
Represent, and each sportsman is divided into score sector and secondary attack sector again, and score source and secondary attack whereabouts are represented respectively, will be matched somebody with somebody using string
The corresponding secondary attack sector of both sides is closed with score sector to be connected, if being scored at autonomous singles' score, its assist sector with itself
Score sector is connected, and coordinates the summation for producing fraction to be directly proportional between the width of string and both sides, and the number of times that both sides coordinate is more, always
Divide more, the width of string is also bigger, so as to draw the details of match score.User can also be looked into by interaction filtering simultaneously
The information such as secondary attack whereabouts and the score source of some sportsman are seen, more clearly from the team of the cognitive sportsman coordinates and tribute on field
Offer.
Step 3: according to the historical record data of mutual cooperation (secondary attack) between sportsman in team, using multi-dimentional scale point
Analysis method is clustered to sportsman, δiRepresent certain sportsman i, δ in teamI, jThe distance between sportsman i and sportsman j are represented, should
The number of times assisted between distance and both sides is inversely proportional, and secondary attack total degree is more, distance nearlyer (as shown in Equation 1),
M is the sum of sportsman, and n is the sum of statistics match,Represent between sportsman i and sportsman j
The sum mutually assisted in k field match, and then the distinct matrix (as shown in Equation 2) of sportsman's distance can be obtained.
M vector is built under theorem in Euclid space and represents m sportsman, by solving energy-optimised equation (as shown in Equation 3),
minΣI ＜ j(||Xi-Xj||-δI, j)2 (3)
The two-dimensional coordinate of m vector is drawn, so as to obtain the clustering information of m sportsman, the matching model of team can also
Emerge from.
Below by the practicality that the present invention is further confirmed by embodiment, scientific and accuracy, in following instance
The selection showing tremendous enthusiasm first match of NBA racing seasons and Heat's sportsman's matching model to bull on October 30th, 2013 is research object.
Example 1, single game field player coordinate analysis
According to the method and steps of the present invention, the visual design drawing (as shown in Fig. 1 to 5) of sportsman's cooperation is constructed, each
Sportsman represents with the sector of different gray scales, and each sportsman comprising a secondary attack sector (in secondary attack score figure " sportsman's name _
Ast " is represented) and score sector (in score figure " sportsman name _ score " expressions), the former its secondary attack teammate obtains
Situation about dividing, the latter represents its scoring event for receiving teammate's secondary attack, as shown in Figure 1 and Figure 2.
Heat shown in Fig. 2 compared with the Bulls shown in Fig. 1, the visualization result is resolved to：Heat
Interior lines sportsman's score is less.Three interior lines sportsman Bo Shi (bosh) of Heat, Haas Farnham (harslerm) and peace
Gloomy (anderson) total score of moral only has 31 points；And Bulls interior lines sportsman Bu Zeer (boozer) only people's scores are just 31
Point, the main interior lines substitute Ji Busen (gibson) of another one also obtained 9 points.From the point of view of secondary attack part, bull interior lines sportsman's helps
Performance is attacked also superior to showing tremendous enthusiasm interior lines sportsman.In general, inside attack is the center of gravity of bull in this competition, and inside attack
Performance is also than more prominent.Although interior lines are not dominant, the last showing tremendous enthusiasm main cause still won the game is its outside line sportsman such as Zhan
The performance such as Mu Si (james), Wei De (wade), Qian Mosi (chalmers) is outstanding, while Heat emphasizes the stream that group coordinates
Smooth property, individual autonomy singles' score is relatively fewer, in addition relief pitchers's such as Allan (allen), Shane Battier (battier) and Cole
(cole) also show excellent, especially James and Allan can score can assist again teammate's score, have activated the attack of team, and
Bull exactly lacks such sportsman, and relies primarily on Bu Zeer and other starting lineups performance.
The performance of team lead man can be analyzed by filter operation, Fig. 3 is Bulls's lead man's Ross
(rose), Fig. 4 is Heat lead man James (james), it can be seen that James either assists or personal score
Ross will be better than, therefore show outstanding as team leader James.
According to the inventive method, user can accurately and rapidly judge score distribution and the mated condition of team's match, show
Write the efficiency for improving analysis work.
Example 2, sportsman's matching model analysis based on historical data
Choose the analysis that Heat player for the match carries out matching model, it is contemplated that single game competition data there may be contingency
Error, then chooses code of the Heat with other 29 teams in the racing season as data supporting, if sportsman A and ball
Member B coordinates more, then both sides' distance in Multidimensional Scaling cluster then relative close or can be classified as same cluster.
By the correlation step of above-mentioned Multidimensional Scaling method, Heat sportsman may finally be obtained on two-dimensional space
Dendrogram, as shown in Figure 5.It can see in figure, James, tetra- starting lineups of Wei De, Bo Shi and Qian Mosi are often mutual
Mutually secondary attack coordinates, and Cole, Lewis (lewis), Beasley (beasley) and 4, Anderson relief pitchers gather for a class, Ah
Although human relations are relief pitchers but it has been connected first send out battle array and substitute battle array well, and Shane Battier and Haas Farnham are then relative
It is isolated, among the overall co-ordination for seldom participating in team.
Using the visual analysis method in the present invention, user can integrate historical information, more comprehensively, analyze ball exactly
Mated condition between member, so as to provide the foundation of analysis for the technique and tactics research of team.
Although above content is carried out description, the present invention not merely office with figure to the present invention in conjunction with the embodiments
It is limited to above-described embodiment, the above is only illustrative and nonrestrictive, and the person skilled of this area is in the present invention
Enlightenment help under, the deformation carried out in the case where not departing from present inventive concept and essence should also belong to protection model of the invention
Within enclosing.
Claims (3)
1. one kind is based on the visual athletics sports team matching model analogy method of string figure, it is characterised in that this method includes
Following steps：
Step 1: setting up the basic database of match relevant information, including contain the list of secondary attack promoter and secondary attack terminator
The live record of field match, and, the mutual secondary attack historical data of every game is obtained by official website between sportsman in team, so that
Obtain coordinating sum between the sportsman within a racing season；
Step 2: the secondary attack information architecture string figure for the sportsman in live record of being competed according to single game, i.e.,：Each sportsman is divided into score fan
Area and secondary attack sector, represent its call and assists record, will coordinate the corresponding secondary attack sector of both sides using string respectively
It is connected with score sector, so as to draw the detailed record of match；
Step 3: according to the historical record data for information of mutually being assisted between sportsman in team, using Multidimensional Scaling method
Sportsman is clustered, m vector is built under theorem in Euclid space and represents m sportsman, following energy-optimised equation is met
min∑I ＜ j(||Xi-Xj||-δI, j)2：
Minimum convergence result, i.e.,：The two-dimensional coordinate of m vector, so as to draw the clustering information of m sportsman；
Wherein, the distinct matrix of sportsman's distance is expressed as
<mfenced open = "(" close = ")">
<mtable>
<mtr>
<mtd>
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<mi>&delta;</mi>
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<mn>1</mn>
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</mtd>
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<mi>&delta;</mi>
<mrow>
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<mo>,</mo>
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<mn>...</mn>
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<mi>&delta;</mi>
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<mn>1</mn>
<mo>,</mo>
<mi>m</mi>
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<mi>&delta;</mi>
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<mo>,</mo>
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<mi>&delta;</mi>
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<mn>...</mn>
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<mi>&delta;</mi>
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<mo>,</mo>
<mi>m</mi>
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<mn>..</mn>
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<mn>...</mn>
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<mi>&delta;</mi>
<mrow>
<mi>m</mi>
<mo>,</mo>
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<msub>
<mi>&delta;</mi>
<mrow>
<mi>m</mi>
<mo>,</mo>
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<mtd>
<mn>...</mn>
</mtd>
<mtd>
<msub>
<mi>&delta;</mi>
<mrow>
<mi>m</mi>
<mo>,</mo>
<mi>m</mi>
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</mtable>
</mfenced>
M is the sum of sportsman, and n is the sum of statistics match,Represent between sportsman i and sportsman j in k field
The sum mutually assisted in match；δ in distinct matrixI, jIt is expressed as
Wherein, δiRepresent certain sportsman i, δ in teamI, jRepresent the distance between sportsman i and sportsman j.
2. as claimed in claim 1 a kind of based on the visual athletics sports team matching model analogy method of string figure, it is special
Levy and be, in the step 2, if being scored at autonomous singles' score, its sector of assisting is connected with the score sector of itself.
3. one kind as claimed in claim 1 or 2 is based on the visual athletics sports team matching model analogy method of string figure, its
It is characterised by, coordinate the summation for producing fraction to be directly proportional between the width of the string and both sides, the number of times that both sides coordinate is more, always
Divide more, the width of string is also bigger.
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| CN108090101A (en) * | 2016-11-22 | 2018-05-29 | 北京国双科技有限公司 | The method and device of data display |
| CN107480852A (en) * | 2017-07-03 | 2017-12-15 | 北京航天云路有限公司 | It is a kind of to be used for the method for visualizing that Matching Relationship is analyzed of merchandising |
| CN110322380B (en) * | 2019-07-18 | 2021-10-15 | 浙江大学 | Visual analysis system for tactical simulation of table tennis match |
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