WO2021161758A1

WO2021161758A1 - Baseball data analysis device, baseball data analysis system device, baseball data analysis method, program, and recording medium

Info

Publication number: WO2021161758A1
Application number: PCT/JP2021/002183
Authority: WO
Inventors: 剛緒方; 奈津子馬場
Original assignee: Ｎｅｃソリューションイノベータ株式会社
Priority date: 2020-02-14
Filing date: 2021-01-22
Publication date: 2021-08-19
Also published as: JPWO2021161758A1; TWI797544B; TW202137088A; JP7338919B2

Abstract

Provided is a baseball data analysis device capable of quickly and objectively aggregating and analyzing baseball game data.　In a baseball data analysis device 1 according to the present invention, a sheet image acquisition unit 11 acquires an image of a baseball analysis sheet for each game, a sheet image storage unit 12 stores images 121 of the baseball analysis sheets in association with game information 122 of the baseball analysis sheets, a handwritten data recognition unit 13 recognizes handwritten data on the baseball analysis sheets and converts the handwritten data into analysis data 131 that can be processed by a computer, a data aggregating unit 15 generates aggregated game data 151 by aggregating data of the games on the basis of an analysis table 141 containing the analysis data, an aggregated data storage unit 16 stores the aggregated game data 151 in an aggregated game table 163 in association with team attribute information and player attribute information, and an analysis sheet information generation unit 18 generates analysis sheet information on the basis of the aggregated game table and analysis item information.

Description

Baseball data analysis device, baseball data analysis system device, baseball data analysis method, program and recording medium

The present invention relates to a baseball data analysis device, a baseball data analysis system device, a baseball data analysis method, a program, and a recording medium.

Baseball is a popular sport, and not only professional baseball but also amateur baseball such as high school baseball and six college baseball are popular, and both professional baseball and amateur baseball are trained to improve play. ing. On the other hand, with the recent development of information technology (IT), there is a movement to utilize IT for baseball training. For example, Patent Document 1 discloses a program for analyzing and evaluating a baseball player based on the measurement result of physical ability.

Japanese Unexamined Patent Publication No. 2020-5876

In a baseball game, it is not possible to bring information devices such as computers and tablets to the bench, so fill in the scorebook by hand, and take notes on items other than the scorebook by hand, and after the game, scorebook The coach or manager was aware of the individual player's issues and the team's issues. Then, it is common for the coach or manager to explain the grasped task to the player and utilize it for practice for the next game. However, with the scorebook and memo-taking method, it takes time to aggregate and analyze the data, it is not possible to immediately grasp the individual player's task and the team's task, and it is difficult to analyze the objective data. rice field.

Therefore, an object of the present invention is to provide a baseball data analysis device capable of quickly and objectively aggregating and analyzing baseball game data, and a baseball data analysis method.

In order to achieve the above object, the baseball data analyzer of the present invention
Sheet image acquisition unit, sheet image storage unit, manual data recognition unit, analysis data storage unit, data aggregation unit, aggregation data storage unit, analysis item input unit, analysis sheet information generation unit, and analysis sheet information output unit Including
The sheet image acquisition unit acquires an image of a baseball analysis sheet for each game, and obtains an image of the baseball analysis sheet.
In the baseball analysis sheet, the data of the game result is described by hand.
The sheet image storage unit stores the image of the baseball analysis sheet in association with the game information of the baseball analysis sheet.
The handwriting data recognition unit recognizes the handwriting data described in the baseball analysis sheet, converts it into computer-processable analysis data, and converts it into analysis data.
The analysis data storage unit stores the analysis data in the analysis table, and stores the analysis data in the analysis table.
The data aggregation unit generates match aggregation data that aggregates the data of each match based on the analysis table.
The aggregated data storage unit includes a team table in which team attribute information is recorded, a player table in which player attribute information is recorded, and a match aggregate table.
The aggregated data storage unit stores the match aggregated data in the match aggregated table in association with the team attribute information and the player attribute information.
The analysis item input unit can input analysis item information to be analyzed.
The analysis sheet information generation unit generates analysis sheet information based on the game total table and the analysis item information.
The analysis sheet information output unit outputs the analysis sheet information.
It is a device.

The baseball data analysis method of the present invention
Sheet image acquisition process, sheet image storage process, manual data recognition process, analysis data storage process, data aggregation process, aggregation data storage process, analysis item input process, analysis sheet information generation process, and analysis sheet information output process Including
In the sheet image acquisition process, an image of a baseball analysis sheet for each game is acquired.
In the baseball analysis sheet, the data of the game result is described by hand.
In the sheet image storage step, the image of the baseball analysis sheet is stored in association with the game information of the baseball analysis sheet.
The handbook data recognition step recognizes the handbook data described in the baseball analysis sheet, converts it into computer-processable analysis data, and converts the handbook data into analysis data that can be processed by a computer.
In the analysis data storage step, the analysis data is stored in the analysis table, and the analysis data is stored in the analysis table.
The data aggregation process generates match aggregation data that aggregates the data of each match based on the analysis table.
The aggregated data storage process includes a team table in which team attribute information is recorded, a player table in which player attribute information is recorded, and a match aggregate table.
In the aggregated data storage process, the match aggregated data is stored in the match aggregated table in association with the team attribute information and the player attribute information.
In the analysis item input step, analysis item information to be analyzed can be input.
The analysis sheet information generation step generates analysis sheet information based on the game total table and the analysis item information.
The analysis sheet information output step outputs the analysis sheet information.
The method.

According to the present invention, baseball game data can be quickly and objectively aggregated and analyzed. Therefore, according to the present invention, it is possible to grasp the tasks of individual players and the tasks of the team immediately after the game, and to immediately carry out the practice conscious of the tasks. Immediately after the game, each player has a strong impression of the game, and practice that is aware of the tasks immediately after the game is extremely effective in improving baseball play.

FIG. 1 is a schematic view showing an example of the configuration of the baseball data analysis system apparatus of the first embodiment. FIG. 2 is a schematic diagram showing an example of using the baseball data analysis system apparatus of the first embodiment. FIG. 3 is a block diagram showing an example of the configuration of the baseball data analyzer according to the second embodiment. FIG. 4 is a block diagram showing an example of the hardware configuration of the baseball data analyzer according to the second embodiment. FIG. 5 is a flowchart showing an example of processing in the baseball data analyzer of the second embodiment. FIG. 6 is a schematic diagram showing an example of baseball data analysis in the third embodiment. FIG. 7 is a schematic diagram showing an example of the score table A in the third embodiment. FIG. 8 is a schematic diagram showing an example of the score table A in the third embodiment. FIG. 9 is a schematic diagram showing an example of the score table B in the third embodiment. FIG. 10 is a schematic diagram showing an example of the score table B in the third embodiment. FIG. 11 is a schematic diagram showing an example of the player master table in the third embodiment. FIG. 12 is a schematic diagram showing an example of the team master table in the third embodiment. FIG. 13 is a schematic diagram showing an example of a pitcher game totaling table according to the third embodiment. FIG. 14A is a schematic diagram showing an example of a batter match totaling table according to the third embodiment. FIG. 14B is a schematic diagram showing an example of the batter match totaling table in the third embodiment. FIG. 15 is a schematic view showing an example of a pitcher's personal analysis sheet according to the third embodiment. FIG. 16 is a schematic view showing an example of a batter's personal analysis sheet according to the third embodiment. FIG. 17 is a schematic diagram showing an example of the team analysis sheet according to the third embodiment.

In the baseball data analyzer of the present invention, for example,
The baseball analysis sheet includes a baseball analysis sheet A and a baseball analysis sheet B.
The baseball analysis sheet A contains result data for each pitch.
The baseball analysis sheet B contains result data for each turn at bat.
The sheet image acquisition unit acquires both images of the baseball analysis sheets A and B, and obtains them.
The sheet image storage unit stores the image of the baseball analysis sheet in association with the game information.
The handwriting data recognition unit recognizes the handwriting data described on the baseball analysis sheets A and B and converts them into analysis data A and B that can be processed by a computer.
The analysis data storage unit stores the analysis data A and B in the analysis tables A and B, respectively.
The data aggregation unit generates match aggregation data that aggregates the data of each match based on the analysis tables A and B.
May be the embodiment.

The baseball analysis sheet A and the baseball analysis sheet B may be, for example, independent and separate sheets. Alternatively, the baseball analysis sheet A and the baseball analysis sheet B may be combined into one sheet.

In the baseball data analyzer of the present invention, for example,
The data aggregation unit generates pitcher match aggregation data A that aggregates the data of each match for each pitcher based on the analysis table A, and each match for each batter based on the analysis table B. Generate the batter match total data B that aggregates the data of
The game totaling table stored in the total data storage unit includes a pitcher game totaling table A and a batter game totaling table B.
The aggregated data storage unit stores the pitcher match aggregate data A in the pitcher match aggregate table A in association with the team attribute information and the player attribute information, and stores the batter match aggregate data B in the team attribute. Stored in the pitcher match total table B in association with information and player attribute information.
May be the embodiment.

In the baseball data analyzer of the present invention, for example,
The analysis item information input by the analysis item input unit includes the player name.
When the player name is input by the analysis item input unit,
The analysis sheet information generation unit generates personal analysis sheet information of the athlete, and generates the personal analysis sheet information of the athlete.
The analysis sheet information output unit outputs the personal analysis sheet information,
If the player name is not entered by the analysis item input section,
The analysis sheet information generation unit generates team analysis sheet information of the team to which the user belongs, and generates the team analysis sheet information.
The analysis sheet information output unit outputs the team analysis sheet information.
May be the embodiment.

In the baseball data analyzer of the present invention, for example,
The handwritten data recognition unit lists a plurality of recognition candidate characters in order of certainty, and uses the listed highest-ranked recognition candidate characters as recognition characters.
May be the embodiment.

In the baseball data analyzer of the present invention, for example,
Furthermore, it includes a table display unit for analysis and a data correction unit.
The analysis table display unit can display the analysis table to the user.
The data correction unit can correct the analysis table based on the user's operation.
May be the embodiment.

The baseball data analysis system apparatus of the present invention
Including baseball data analyzer and user terminal
The baseball data analyzer and the user terminal can communicate with each other via a communication network.
The baseball data analyzer is the baseball data analyzer of the present invention.
The user terminal includes an imaging unit.
The sheet image acquisition unit acquires an image of the baseball analysis sheet captured by the image pickup unit of the user terminal.
It is a system device.

The baseball data analysis method of the present invention is, for example,
The baseball analysis sheet includes a baseball analysis sheet A and a baseball analysis sheet B.
The baseball analysis sheet A contains result data for each pitch.
The baseball analysis sheet B contains result data for each turn at bat.
In the sheet image acquisition step, both images of the baseball analysis sheets A and B are acquired.
In the sheet image storage step, the image of the baseball analysis sheet is stored in association with the game information.
The handbook data recognition step recognizes the handbook data described on the baseball analysis sheets A and B and converts them into analysis data A and B that can be processed by a computer.
In the analysis data storage step, the analysis data A and B are stored in the analysis tables A and B, respectively.
The data aggregation step generates match aggregation data that aggregates the data of each match based on the analysis tables A and B.
May be the embodiment.

The baseball data analysis method of the present invention is, for example,
The data aggregation process generates pitcher match aggregation data A that aggregates the data of each match for each pitcher based on the analysis table A, and each match for each batter based on the analysis table B. Generate the batter match total data B that aggregates the data of
The game totaling table to be stored in the total data storage process includes a pitcher game totaling table A and a batter game totaling table B.
In the aggregated data storage step, the pitcher match aggregated data A is associated with the team attribute information and the player attribute information and stored in the pitcher match aggregated table A, and the batter match aggregated data B is stored in the team attribute. Stored in the pitcher match total table B in association with information and player attribute information.
May be the embodiment.

The baseball data analysis method of the present invention is, for example,
The analysis item information input by the analysis item input process includes the player name.
When the player name is input by the analysis item input process,
The analysis sheet information generation step generates personal analysis sheet information of the athlete.
The analysis sheet information output step outputs the personal analysis sheet information and outputs the personal analysis sheet information.
If the player name is not entered in the analysis item input process,
The analysis sheet information generation process generates team analysis sheet information of the team to which the user belongs, and generates the team analysis sheet information.
The analysis sheet information output step outputs the team analysis sheet information.
May be the embodiment.

The baseball data analysis method of the present invention is, for example,
In the handwritten data recognition process, a plurality of recognition candidate characters are listed in order of certainty, and the listed highest-ranked recognition candidate characters are used as recognition characters.
May be the embodiment.

The baseball data analysis method of the present invention is, for example,
In addition, it includes a table display process for analysis and a data correction process.
In the analysis table display step, the analysis table is displayed to the user, and the analysis table is displayed to the user.
The data correction step modifies the analysis table based on the user's operation.
May be the embodiment.

The baseball data analysis method of the present invention is, for example,
Including baseball data analysis process
The baseball data analysis step is the baseball data analysis method of the present invention.
In the sheet image acquisition step, the image of the baseball analysis sheet captured by the imaging unit of the user terminal is acquired via the communication network.
It may be the method.

The program of the present invention is a program for causing a computer to execute each step of the method of the present invention.

The recording medium of the present invention is a computer-readable recording medium on which the program of the present invention is recorded.

An embodiment of the present invention will be described with reference to the drawings. The present invention is not limited to the following embodiments. In each of the following figures, the same parts are designated by the same reference numerals. Further, the explanations of the respective embodiments can be referred to each other unless otherwise specified, and the configurations of the respective embodiments can be combined unless otherwise specified.

[Embodiment 1]
1 and 2 show an example of the baseball data analysis system apparatus of the present invention.

First, the baseball data analysis system device shown in FIG. 1 is composed of a baseball data analysis device 1 and a user terminal 3. The baseball data analyzer 1 and the user terminal 3 can communicate with each other via a communication network 2 such as the Internet.

The user terminal 3 is not particularly limited as long as it includes an imaging unit such as a camera, and examples thereof include a mobile phone, a smartphone (smartphone), a tablet, and a personal computer (PC).

The communication line network 2 is not particularly limited, and includes an Internet line, WWW (World Wide Web), telephone line, LAN (Local Area Network), DTN (Delay Tolerant Networking), and the like. The communication may be wired or wireless, and examples of wireless communication include WiFi (Wireless Fidelity) and Bluetooth (registered trademark).

FIG. 2 shows an example of using the baseball data analysis system device. As shown in FIG. 2, during the game, data is entered in the score table A and the score table B, which are baseball analysis sheets. The score table A is an analysis sheet that records all pitches, and the score table B is a sheet that records the results of all at-bats. After the match, the score table A and the score table B recorded in the match are photographed with a user terminal (smartphone, tablet, etc.), and the score table A and the score table B are sent to the baseball data analyzer 1 via the Internet or the like with a dedicated program. Send the sheet image data of. The baseball data analyzer 1 creates analysis data from the transmitted sheet image, and analyzes individual players and teams. After the match, in meetings and practice, the analysis results of individual players and the analysis results of the team are confirmed on the user terminal. For example, check the analysis results by narrowing down the players (pitcher or batter, etc.), period (all games, recent 5 games, last game, etc.), match type (official game, practice game, red and white game, etc.). May be good.

[Embodiment 2]
3 and 4 show an example of the baseball data analyzer 1 of the present invention. FIG. 3 is a block diagram showing the configuration of the baseball data analysis device 1, and FIG. 4 is a diagram showing an example of the hardware configuration of the baseball data analysis device 1.

As shown in FIG. 3, the baseball data analysis device 1 includes a sheet image acquisition unit 11, a sheet image storage unit 12, a manual data recognition unit 13, an analysis data storage unit 14, a data aggregation unit 15, and an aggregation data storage unit 16. , The analysis item input unit 17, the analysis sheet information generation unit 18, and the analysis sheet information output unit 19 are essential components, and the analysis table display unit 20 and the data correction unit 21 may be provided as arbitrary components. good.

The form of the baseball data analyzer 1 is not particularly limited, and examples thereof include a server and a personal computer (PC, for example, a desktop type or a notebook type). In addition, each unit 11 to 21 constituting the baseball data analysis device 1 may have a mode in which separate devices are connected by a network (communication line network).

FIG. 4 illustrates a block diagram of the hardware configuration of the baseball data analyzer 1. The device 1 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, a display device (display) 106, a communication device 107, and the like. Each part of the apparatus 1 is connected to each other via the bus 103 by each interface (I / F).

The central processing unit 101 is responsible for controlling the entire device 1. In the present device 1, for example, the program of the present invention and other programs are executed by the central processing unit 101, and various information is read and written. Specifically, for example, the central arithmetic processing device 101 includes a sheet image acquisition unit 11, a manual data recognition unit 13, a data aggregation unit 15, an analysis item input unit 17, an analysis sheet information generation unit 18, and an analysis sheet information output unit. 19. It functions as an analysis table display unit 20 and a data correction unit 21.

Bus 103 can also be connected to, for example, an external device. Examples of the external device include an external storage device (external database, etc.), a printer, and the like. The device 1 can be connected to an external network (communication network) by, for example, a communication device 107 connected to a bus, and can also be connected to another device or device via the external network. Other devices include, for example, a user terminal and an administrator terminal (PC, server, smartphone, tablet, etc.).

The device 1 further has, for example, an input device 105 and a display 106. The input device 105 is, for example, a touch panel, a keyboard, a mouse, or the like. Examples of the display 106 include an LED display and a liquid crystal display.

In the present device 1, the memory 102 and the storage device 104 can also store access information and log information from the administrator, and information acquired from an external database (not shown). Further, the storage device 104 functions as, for example, a sheet image storage unit 12, an analysis data storage unit 14, and an aggregated data storage unit 16.

In the present device 1, for example, the sheet image acquisition unit 11 acquires an image of the baseball analysis sheet from the user terminal via the external communication network (network) by the communication device 107, and the analysis sheet information output unit 19 Outputs the analysis sheet information to the user terminal via the external network by the communication device 107.

The memory 102 includes, for example, a main memory (main storage device). The main memory is, for example, a RAM (random access memory). Further, the memory 102 may be, for example, a ROM (read-only memory). The storage device 104 may be, for example, a combination of a storage medium and a drive for reading and writing to the storage medium. The storage medium is not particularly limited, and may be an internal type or an external type, and examples thereof include HD (hard disk), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, and memory card. .. The storage device 104 may be, for example, a hard disk drive (HDD) in which a storage medium and a drive are integrated.

The flowchart of FIG. 5 shows an example of processing by the baseball data analyzer 1. First, the sheet image acquisition unit 11 acquires an image of a baseball analysis sheet for each game (S1). The baseball analysis sheet contains handwritten data on the results of the match. The sheet image storage unit 12 stores the image 121 of the baseball analysis sheet (also referred to as the sheet image 121) in association with the game information 122 of the baseball analysis sheet (S2). The handwriting data recognition unit 13 recognizes the handwriting data written on the baseball analysis sheet and converts it into analysis data 131 that can be processed by a computer (S3). The analysis data storage unit 14 stores the analysis data 131 in the analysis table 141 (S4). The analysis table display unit 20 displays the analysis table on the user terminal (S41), and if there is a need for correction, the data correction unit 21 corrects the data in the analysis table (S42). The data aggregation unit 15 generates match aggregation data 151 that aggregates the data of each match based on the analysis table 141 (S5). The aggregated data storage unit 16 includes a team table 161 that records team attribute information, a player table 162 that records player attribute information, and a match aggregate table 163, and associates match aggregate data 151 with team attribute information and player attribute information. It is stored in the match total table 163 (S6). The analysis item input unit 17 inputs analysis item information to be analyzed (S7). The analysis sheet information generation unit 18 generates analysis sheet information based on the match total table 163 and the analysis item information (S8), and the analysis sheet information output unit 19 outputs the analysis sheet information (S9). Then, after the execution of the step (S9), the process by the baseball data analyzer 1 is terminated (END).

[Embodiment 3]
FIG. 6 shows an example of baseball data analysis of the present invention. First, the login screen is displayed on the user terminal. The login screen is designed to enter a user ID and password. After logging in, the "read score table" button, "analysis" button, and "back" button are displayed on the screen of the user terminal. When the "Read score table" button is clicked, the score table read screen is displayed on the user terminal. The score table reading screen has the date, start time, match name, type (match type), score (final score 3 points first, 1 point second), front and back (first or second) titles and blanks. Fill in the required items in the blank. In addition, the score table reading screen has a "score table reading" button, and when the "score table reading" button is pressed, the sheet images of the photographed baseball analysis sheets (score table A and score table B) are read (baseball data). Corresponds to the acquisition of sheet images of analyzers). When the reading of the baseball analysis sheet is completed, the read image screen is displayed on the user terminal, and when the "OK" button is clicked, the sheet image (also called the score image) is displayed together with the game information in the sheet image storage unit of the baseball data analysis device 1. It is stored in 12. The sheet image stored in the sheet image storage unit 12 is converted into analysis data in which the handwriting characters can be processed by a computer by the handwriting character recognition engine (handbook data recognition unit 13), and a score table (data storage for analysis). It is stored in part 14). Further, in the handwriting character recognition engine, for example, a plurality of recognition candidates may be generated and listed for each certainty level. In FIG. 6, based on the degree of certainty, "0" 90%, "6" 80% and "3" 20% are listed. When checking whether the analysis data recognized by the handwriting character recognition engine is correct, display the score A correction / confirmation screen or the score B correction / confirmation screen on the user terminal, and if it is necessary to correct it, Correct by operating the user terminal. When the correction is completed, click the "Finish" button displayed on the user terminal. Based on the analysis data confirmed / corrected by the aggregation batch (data aggregation unit 15), match aggregation data and pitcher match aggregation data that aggregate the data of each match are generated. The database (aggregated data storage unit 16) includes a "team table" in which team attribute information is recorded, a "player table" in which player attribute information is recorded, and a "match aggregation table". The generated match total data and pitcher match total data are stored in the "match total table" and the "match total table_pitcher", respectively, in association with the team attribute and the player attribute. When the "Analysis" button is clicked on the user terminal screen after login, the analysis screen is displayed. On the analysis screen, there are types (match types), player titles, and blanks. Enter the player name and click the "Enter" button. The entered player will be based on the match summary table and the entered player name. Personal analysis sheet is displayed on the user terminal. On the other hand, if the "OK" button is clicked on the analysis screen of the user terminal without entering the player name, the team analysis sheet of the team to which the user belongs is displayed on the user terminal based on the match total table and the user ID.

In the present invention, the analysis sheet information can be generated by aggregating each data of the match totaling table based on the analysis items and processing the data according to each analysis item (batting average, ERA, etc.).

FIG. 7, FIG. 8, FIG. 9 and FIG. 10 show an example of a baseball analysis sheet (score table A and score table B). 7 and 8 are examples of the score table A, and FIGS. 9 and 10 are examples of the score table B.

The score table A shown in FIG. 7 records the results of all pitches and is handwritten on the bench during the match. Score table A includes page number, front and back, pitcher, batter, bang, scoring position, course catcher (course instructed by catcher), course pitcher (course actually thrown by pitcher), ball type (straight, curve, etc.), Titles indicating the results (missing, missed swings, etc.) are given, and a plurality of grid-shaped blanks are provided so as to form rows and columns according to each title. An explanation of the entry method is described on the right side of the score table A. For example, in the case of a fastball, enter a blank (do not enter) for a straight and "1" for a curve.

FIG. 8 is an entry example of the score table A. As shown in FIG. 8, a specific number is manually entered in the blank of the handwriting entry column. For example, in FIG. 8, one line of the manual entry column is the entry column of the first ball, and "1" (front) is described in the "front and back" column, and the uniform number "11" is in the "pitcher" column. , The jersey number "1" in the "batter" column, the course "3" held by the catcher in the "course catch" column, and the course "3" thrown by the pitcher in the "course pitcher" column. In the "ball type" column, there is a blank that means straight, and in the "result" column, there is a blank that means overlooked. Further, in FIG. 8, the 16th line of the manual entry column is the entry column of the 16th ball in total (the first ball moved from the front to the back), and "2" (back) is in the "front and back" column. ), The "Pitcher" column is blank, which means that the pitcher has not changed, the "Batter" column has a uniform number "8", and the "Course catcher" column has a catcher. 4 ”, the course“ 9 ”thrown by the pitcher in the“ course throw ”column, the“ 1 ”indication that means a curve in the“ ball type ”column, and missed in the“ result ”column. There are blanks that mean each.

The score table B shown in FIG. 9 records the results of all at-bats and is handwritten on the bench during the match. Score table B is given titles indicating page numbers, front and back, pitchers, batters, outs, balls, strikes, results (outs, bases, hits, etc.) and hitting directions. Multiple blanks are provided to form rows and columns. An explanation of the entry method is described on the right side of the score table B. For example, in the result, in the case of out, the missed strikeout is entered as "11", and the missed strikeout is entered as "12".

FIG. 10 is an entry example of the score table B. As shown in FIG. 10, a specific number is manually entered in the blank of the handwriting entry column. For example, in FIG. 10, one line of the handbook entry field is the entry field for the first turn at bat, with "1" (front) in the "front and back" column and the uniform number "11" in the "pitcher" column. , The "Batter" column is blank because the team is the second player, the "Ball" column is the ball count "3", and the "Strikeout" is the strike count "2". The "Result" column has "11", which means a missed strikeout, and the "Battery direction" column has a blank because it is a strikeout. Further, in FIG. 10, the sixth line of the manual entry column is the entry column for the sixth batter in total (the first batter moved from the front to the back), and "2" (back) is displayed in the "front and back" column. In the "Pitcher" column, leave a blank because it is a second attack, in the "Batter" column, enter the uniform number "8", in the "Ball" column, enter the ball count number "3", and in the "Strike" There is a description of the strike count number "2", a description of "31" meaning a single hit in the "result" column, and a description of "8" in the "hit direction" column.

FIG. 11 is an example of a player table (player master table). As shown in the figure, the team code, member number (player ID), member name (player name), throwing method (right-handed, left-handed), and hitting (right-handed, left-handed) are displayed on the player table for each player. Information about players such as is stored. Although not shown in FIG. 11, the player table may store information about players such as the team name, gender, age, years of baseball experience, defensive position, and batting order.

FIG. 12 is an example of a team table (team master table). As shown in the figure, the team table stores information about the team such as the team code and the team name for each team. Although not shown in FIG. 12, the team table stores information about the team such as the team affiliation organization name, team affiliation area (for example, Fukuoka prefecture, Tokyo, etc.), manager information, coach information, player information, and the like. You may.

FIG. 13 is an example of a pitcher match totaling table. As shown in the figure, the pitcher match total table shows the team code, date, start time, player code (player ID), number of pitches, number of single hits, number of long hits, and number of outs for each type of pitch (straight, curve, etc.). Etc. may be stored. In FIG. 13, the blanks and 1 to 6 in the number of single hits, the number of long hits, and the number of outs for each ball type correspond to the ball types such as straights and curves in the score table A shown in FIGS. 7 and 8. However, FIG. 13 is an example, and items other than those shown in FIG. 13, such as the number of strikeouts, may be stored in the pitcher match totaling table.

FIGS. 14A and 14B are examples of the batter match total table. As shown in the figure, the batter match total table shows the team code, date, start time, player code (player ID), number of single hits for each type of ball (straight, curve, etc.), number of long hits and outs, hit direction, walks. Information such as the number and the number of dead balls may be stored. In FIGS. 14A and 14B, the blanks and 1 to 6 in the number of single hits, the number of long hits, and the number of outs for each ball type correspond to the ball types such as straights and curves in the score table B shown in FIGS. 9 and 10, and the hitting directions. 1 to 19 also correspond to the hitting direction of the score table B shown in FIGS. 9 and 10. However, FIGS. 14A and 14B are examples, and items other than those shown in FIGS. 14A and 14B, such as the number of single strokes, the number of long strokes, and the number of outs in each position (pitcher direction, right direction, etc.), are shown in the batter match total table. May be remembered.

Although not shown, examples of the match tabulation table include a pitcher match tabulation table shown in FIG. 13 and a batter match tabulation table shown in FIGS. 14A and 14B.

FIG. 15 is an example of a pitcher's personal analysis sheet. As shown in the figure, in the pitcher's personal analysis sheet, for example, the ERA, the hit rate for each type of ball thrown (straight, curve, etc.), the strike rate, the initial strike rate, the average number of fouls per batter, 1 The average number of balls per batter, the catcher request matching rate, the base starting rate from two strikes, the leading batter hunting rate, the scoring area hit rate, etc. are displayed.

FIG. 16 is an example of a batter's personal analysis sheet. As shown in the figure, in the batter's personal analysis sheet, for example, the slugging percentage, the number of games, the number of at-bats, the number of hits, hits, on-base percentage, third base hit, home base hit, base hit, hit point, strikeout (missed strikeout, strikeout, etc.) Strikeout), four balls, dead ball, sacrifice, sacrifice, scoring area hit rate, on-base percentage, slugging percentage, OPS (On-base plus slugging), average number of throws from two strikes, two strikeouts, on-base percentage, average at bat The number of throws, the on-base percentage, the feed bunt failure rate, the squeeze failure rate, the hit rate by course, the hit direction, etc. are displayed.

FIG. 17 is an example of a team analysis sheet. As shown in the figure, in the team analysis sheet, for example, the pitcher's personal analysis sheet shown in FIG. 15 and the batter's personal analysis sheet shown in FIG. 16 are collectively displayed.

[Embodiment 4]
The program of the present embodiment is a program for causing a computer to execute each step of the method of the present invention as a procedure. In the present invention, "procedure" may be read as "processing". Further, the program of the present embodiment may be recorded on a computer-readable recording medium, for example. The recording medium is not particularly limited, and examples thereof include a read-only memory (ROM), a hard disk (HD), and an optical disk.

Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the structure and details of the present invention within the scope of the present invention.

This application claims priority based on Japanese application Japanese Patent Application No. 2020-23861 filed on February 14, 2020, and incorporates all of its disclosures herein.

<Additional notes>
Some or all of the above embodiments may be described as, but not limited to, the following appendices.
(Appendix 1)
Sheet image acquisition unit, sheet image storage unit, manual data recognition unit, analysis data storage unit, data aggregation unit, aggregation data storage unit, analysis item input unit, analysis sheet information generation unit, and analysis sheet information output unit Including
The sheet image acquisition unit acquires an image of a baseball analysis sheet for each game, and obtains an image of the baseball analysis sheet.
In the baseball analysis sheet, the data of the game result is described by hand.
The sheet image storage unit stores the image of the baseball analysis sheet in association with the game information of the baseball analysis sheet.
The handwriting data recognition unit recognizes the handwriting data described in the baseball analysis sheet, converts it into computer-processable analysis data, and converts it into analysis data.
The analysis data storage unit stores the analysis data in the analysis table, and stores the analysis data in the analysis table.
The data aggregation unit generates match aggregation data that aggregates the data of each match based on the analysis table.
The aggregated data storage unit includes a team table in which team attribute information is recorded, a player table in which player attribute information is recorded, and a match aggregate table.
The aggregated data storage unit stores the match aggregated data in the match aggregated table in association with the team attribute information and the player attribute information.
The analysis item input unit can input analysis item information to be analyzed.
The analysis sheet information generation unit generates analysis sheet information based on the game total table and the analysis item information.
The analysis sheet information output unit outputs the analysis sheet information.
Baseball data analyzer.
(Appendix 2)
The baseball analysis sheet includes a baseball analysis sheet A and a baseball analysis sheet B.
The baseball analysis sheet A contains result data for each pitch.
The baseball analysis sheet B contains result data for each turn at bat.
The sheet image acquisition unit acquires both images of the baseball analysis sheets A and B, and obtains them.
The sheet image storage unit stores the image of the baseball analysis sheet in association with the game information.
The handwriting data recognition unit recognizes the handwriting data described on the baseball analysis sheets A and B and converts them into analysis data A and B that can be processed by a computer.
The analysis data storage unit stores the analysis data A and B in the analysis tables A and B, respectively.
The data aggregation unit generates match aggregation data that aggregates the data of each match based on the analysis tables A and B.
The baseball data analyzer according to Appendix 1.
(Appendix 3)
The data aggregation unit generates pitcher match aggregation data A that aggregates the data of each match for each pitcher based on the analysis table A, and each match for each batter based on the analysis table B. Generate the batter match total data B that aggregates the data of
The game totaling table stored in the total data storage unit includes a pitcher game totaling table A and a batter game totaling table B.
The aggregated data storage unit stores the pitcher match aggregate data A in the pitcher match aggregate table A in association with the team attribute information and the player attribute information, and stores the batter match aggregate data B in the team attribute. Stored in the pitcher match total table B in association with information and player attribute information.
The baseball data analyzer described in Appendix 2.
(Appendix 4)
The analysis item information input by the analysis item input unit includes the player name.
When the player name is input by the analysis item input unit,
The analysis sheet information generation unit generates personal analysis sheet information of the athlete, and generates the personal analysis sheet information of the athlete.
The analysis sheet information output unit outputs the personal analysis sheet information,
If the player name is not entered by the analysis item input section,
The analysis sheet information generation unit generates team analysis sheet information of the team to which the user belongs, and generates the team analysis sheet information.
The analysis sheet information output unit outputs the team analysis sheet information.
The baseball data analyzer according to any one of Appendix 1 to 3.
(Appendix 5)
The handwritten data recognition unit lists a plurality of recognition candidate characters in order of certainty, and uses the listed highest-ranked recognition candidate characters as recognition characters.
The baseball data analyzer according to any one of Appendix 1 to 4.
(Appendix 6)
Furthermore, it includes a table display unit for analysis and a data correction unit.
The analysis table display unit can display the analysis table to the user.
The data correction unit can correct the analysis table based on the user's operation.
The baseball data analyzer according to any one of Appendix 1 to 5.
(Appendix 7)
Including baseball data analyzer and user terminal
The baseball data analyzer and the user terminal can communicate with each other via a communication network.
The baseball data analyzer is the baseball data analyzer according to any one of Appendix 1 to 6.
The user terminal includes an imaging unit.
The sheet image acquisition unit acquires an image of the baseball analysis sheet captured by the image pickup unit of the user terminal.
Baseball data analysis system equipment.
(Appendix 8)
Sheet image acquisition process, sheet image storage process, manual data recognition process, analysis data storage process, data aggregation process, aggregation data storage process, analysis item input process, analysis sheet information generation process, and analysis sheet information output process Including
In the sheet image acquisition process, an image of a baseball analysis sheet for each game is acquired.
In the baseball analysis sheet, the data of the game result is described by hand.
In the sheet image storage step, the image of the baseball analysis sheet is stored in association with the game information of the baseball analysis sheet.
The handbook data recognition step recognizes the handbook data described in the baseball analysis sheet, converts it into computer-processable analysis data, and converts the handbook data into analysis data that can be processed by a computer.
In the analysis data storage step, the analysis data is stored in the analysis table, and the analysis data is stored in the analysis table.
The data aggregation process generates match aggregation data that aggregates the data of each match based on the analysis table.
The aggregated data storage process includes a team table in which team attribute information is recorded, a player table in which player attribute information is recorded, and a match aggregate table.
In the aggregated data storage process, the match aggregated data is stored in the match aggregated table in association with the team attribute information and the player attribute information.
In the analysis item input step, analysis item information to be analyzed can be input.
The analysis sheet information generation step generates analysis sheet information based on the game total table and the analysis item information.
The analysis sheet information output step outputs the analysis sheet information.
Baseball data analysis method.
(Appendix 9)
The baseball analysis sheet includes a baseball analysis sheet A and a baseball analysis sheet B.
The baseball analysis sheet A contains result data for each pitch.
The baseball analysis sheet B contains result data for each turn at bat.
In the sheet image acquisition step, both images of the baseball analysis sheets A and B are acquired.
In the sheet image storage step, the image of the baseball analysis sheet is stored in association with the game information.
The handbook data recognition step recognizes the handbook data described on the baseball analysis sheets A and B and converts them into analysis data A and B that can be processed by a computer.
In the analysis data storage step, the analysis data A and B are stored in the analysis tables A and B, respectively.
The data aggregation step generates match aggregation data that aggregates the data of each match based on the analysis tables A and B.
The baseball data analysis method described in Appendix 8.
(Appendix 10)
The data aggregation process generates pitcher match aggregation data A that aggregates the data of each match for each pitcher based on the analysis table A, and each match for each batter based on the analysis table B. Generate the batter match total data B that aggregates the data of
The game totaling table to be stored in the total data storage process includes a pitcher game totaling table A and a batter game totaling table B.
In the aggregated data storage step, the pitcher match aggregated data A is associated with the team attribute information and the player attribute information and stored in the pitcher match aggregated table A, and the batter match aggregated data B is stored in the team attribute. Stored in the pitcher match total table B in association with information and player attribute information.
The baseball data analysis method described in Appendix 9.
(Appendix 11)
The analysis item information input by the analysis item input process includes the player name.
When the player name is input by the analysis item input process,
The analysis sheet information generation step generates personal analysis sheet information of the athlete.
The analysis sheet information output step outputs the personal analysis sheet information and outputs the personal analysis sheet information.
If the player name is not entered in the analysis item input process,
The analysis sheet information generation process generates team analysis sheet information of the team to which the user belongs, and generates the team analysis sheet information.
The analysis sheet information output step outputs the team analysis sheet information.
The baseball data analysis method according to any one of Appendix 8 to 10.
(Appendix 12)
In the handwritten data recognition process, a plurality of recognition candidate characters are listed in order of certainty, and the listed highest-ranked recognition candidate characters are used as recognition characters.
The baseball data analysis method according to any one of Appendix 8 to 11.
(Appendix 13)
In addition, it includes a table display process for analysis and a data correction process.
In the analysis table display step, the analysis table is displayed to the user, and the analysis table is displayed to the user.
The data correction step modifies the analysis table based on the user's operation.
The baseball data analysis method according to any one of Appendix 8 to 12.
(Appendix 14)
Including baseball data analysis process
The baseball data analysis step is the baseball data analysis method according to any one of Appendix 8 to 13.
In the sheet image acquisition step, the image of the baseball analysis sheet captured by the imaging unit of the user terminal is acquired via the communication network.
Baseball data analysis method.
(Appendix 15)
A program for causing a computer to execute each step of the method according to any one of Appendix 8 to 14.
(Appendix 16)
A computer-readable recording medium on which the program described in Appendix 15 is recorded.

According to the present invention, it is possible to analyze the match result immediately after the match and practice based on the analysis data.

1 Baseball data analyzer 2 Communication network 3 User terminal 11 Sheet image acquisition unit 12 Sheet image storage unit 13 Manual data recognition unit 14 Analysis data storage unit 15 Data aggregation unit 16 Aggregate data storage unit 17 Analysis item input unit 18 Analysis Sheet information generation unit 19 Analysis sheet information output unit 20 Analysis table display unit 21 Data correction unit

Claims

Sheet image acquisition unit, sheet image storage unit, manual data recognition unit, analysis data storage unit, data aggregation unit, aggregation data storage unit, analysis item input unit, analysis sheet information generation unit, and analysis sheet information output unit Including
The sheet image acquisition unit acquires an image of a baseball analysis sheet for each game, and obtains an image of the baseball analysis sheet.
In the baseball analysis sheet, the data of the game result is described by hand.
The sheet image storage unit stores the image of the baseball analysis sheet in association with the game information of the baseball analysis sheet.
The handwriting data recognition unit recognizes the handwriting data described in the baseball analysis sheet, converts it into computer-processable analysis data, and converts it into analysis data.
The analysis data storage unit stores the analysis data in the analysis table, and stores the analysis data in the analysis table.
The data aggregation unit generates match aggregation data that aggregates the data of each match based on the analysis table.
The aggregated data storage unit includes a team table in which team attribute information is recorded, a player table in which player attribute information is recorded, and a match aggregate table.
The aggregated data storage unit stores the match aggregated data in the match aggregated table in association with the team attribute information and the player attribute information.
The analysis item input unit can input analysis item information to be analyzed.
The analysis sheet information generation unit generates analysis sheet information based on the game total table and the analysis item information.
The analysis sheet information output unit outputs the analysis sheet information.
Baseball data analyzer.
The baseball analysis sheet includes a baseball analysis sheet A and a baseball analysis sheet B.
The baseball analysis sheet A contains result data for each pitch.
The baseball analysis sheet B contains result data for each turn at bat.
The sheet image acquisition unit acquires both images of the baseball analysis sheets A and B, and obtains them.
The sheet image storage unit stores the image of the baseball analysis sheet in association with the game information.
The handwriting data recognition unit recognizes the handwriting data described on the baseball analysis sheets A and B and converts them into analysis data A and B that can be processed by a computer.
The analysis data storage unit stores the analysis data A and B in the analysis tables A and B, respectively.
The data aggregation unit generates match aggregation data that aggregates the data of each match based on the analysis tables A and B.
The baseball data analyzer according to claim 1.
The data aggregation unit generates pitcher match aggregation data A that aggregates the data of each match for each pitcher based on the analysis table A, and each match for each batter based on the analysis table B. Generate the batter match total data B that aggregates the data of
The game totaling table stored in the total data storage unit includes a pitcher game totaling table A and a batter game totaling table B.
The aggregated data storage unit stores the pitcher match aggregate data A in the pitcher match aggregate table A in association with the team attribute information and the player attribute information, and stores the batter match aggregate data B in the team attribute. Stored in the pitcher match total table B in association with information and player attribute information.
The baseball data analyzer according to claim 2.
The analysis item information input by the analysis item input unit includes the player name.
When the player name is input by the analysis item input unit,
The analysis sheet information generation unit generates personal analysis sheet information of the athlete, and generates the personal analysis sheet information of the athlete.
The analysis sheet information output unit outputs the personal analysis sheet information,
If the player name is not entered by the analysis item input section,
The analysis sheet information generation unit generates team analysis sheet information of the team to which the user belongs, and generates the team analysis sheet information.
The analysis sheet information output unit outputs the team analysis sheet information.
The baseball data analyzer according to any one of claims 1 to 3.
The handwritten data recognition unit lists a plurality of recognition candidate characters in order of certainty, and uses the listed highest-ranked recognition candidate characters as recognition characters.
The baseball data analyzer according to any one of claims 1 to 4.
Furthermore, it includes a table display unit for analysis and a data correction unit.
The analysis table display unit can display the analysis table to the user.
The data correction unit can correct the analysis table based on the user's operation.
The baseball data analyzer according to any one of claims 1 to 5.
Including baseball data analyzer and user terminal
The baseball data analyzer and the user terminal can communicate with each other via a communication network.
The baseball data analyzer is the baseball data analyzer according to any one of claims 1 to 6.
The user terminal includes an imaging unit.
The sheet image acquisition unit acquires an image of the baseball analysis sheet captured by the image pickup unit of the user terminal.
Baseball data analysis system equipment.
Sheet image acquisition process, sheet image storage process, manual data recognition process, analysis data storage process, data aggregation process, aggregation data storage process, analysis item input process, analysis sheet information generation process, and analysis sheet information output process Including
In the sheet image acquisition process, an image of a baseball analysis sheet for each game is acquired.
In the baseball analysis sheet, the data of the game result is described by hand.
In the sheet image storage step, the image of the baseball analysis sheet is stored in association with the game information of the baseball analysis sheet.
The handbook data recognition step recognizes the handbook data described in the baseball analysis sheet, converts it into computer-processable analysis data, and converts the handbook data into analysis data that can be processed by a computer.
In the analysis data storage step, the analysis data is stored in the analysis table, and the analysis data is stored in the analysis table.
The data aggregation process generates match aggregation data that aggregates the data of each match based on the analysis table.
The aggregated data storage process includes a team table in which team attribute information is recorded, a player table in which player attribute information is recorded, and a match aggregate table.
In the aggregated data storage process, the match aggregated data is stored in the match aggregated table in association with the team attribute information and the player attribute information.
In the analysis item input step, analysis item information to be analyzed can be input.
The analysis sheet information generation step generates analysis sheet information based on the game total table and the analysis item information.
The analysis sheet information output step outputs the analysis sheet information.
Baseball data analysis method.
The baseball analysis sheet includes a baseball analysis sheet A and a baseball analysis sheet B.
The baseball analysis sheet A contains result data for each pitch.
The baseball analysis sheet B contains result data for each turn at bat.
In the sheet image acquisition step, both images of the baseball analysis sheets A and B are acquired.
In the sheet image storage step, the image of the baseball analysis sheet is stored in association with the game information.
The handbook data recognition step recognizes the handbook data described on the baseball analysis sheets A and B and converts them into analysis data A and B that can be processed by a computer.
In the analysis data storage step, the analysis data A and B are stored in the analysis tables A and B, respectively.
The data aggregation step generates match aggregation data that aggregates the data of each match based on the analysis tables A and B.
The baseball data analysis method according to claim 8.
The data aggregation process generates pitcher match aggregation data A that aggregates the data of each match for each pitcher based on the analysis table A, and each match for each batter based on the analysis table B. Generate the batter match total data B that aggregates the data of
The game totaling table to be stored in the total data storage process includes a pitcher game totaling table A and a batter game totaling table B.
In the aggregated data storage step, the pitcher match aggregated data A is associated with the team attribute information and the player attribute information and stored in the pitcher match aggregated table A, and the batter match aggregated data B is stored in the team attribute. Stored in the pitcher match total table B in association with information and player attribute information.
The baseball data analysis method according to claim 9.
The analysis item information input by the analysis item input process includes the player name.
When the player name is input by the analysis item input process,
The analysis sheet information generation step generates personal analysis sheet information of the athlete.
The analysis sheet information output step outputs the personal analysis sheet information and outputs the personal analysis sheet information.
If the player name is not entered in the analysis item input process,
The analysis sheet information generation process generates team analysis sheet information of the team to which the user belongs, and generates the team analysis sheet information.
The analysis sheet information output step outputs the team analysis sheet information.
The baseball data analysis method according to any one of claims 8 to 10.
In the handwritten data recognition process, a plurality of recognition candidate characters are listed in order of certainty, and the listed highest-ranked recognition candidate characters are used as recognition characters.
The baseball data analysis method according to any one of claims 8 to 11.
In addition, it includes a table display process for analysis and a data correction process.
In the analysis table display step, the analysis table is displayed to the user, and the analysis table is displayed to the user.
The data correction step modifies the analysis table based on the user's operation.
The baseball data analysis method according to any one of claims 8 to 12.
Including baseball data analysis process
The baseball data analysis step is the baseball data analysis method according to any one of claims 8 to 13.
In the sheet image acquisition step, the image of the baseball analysis sheet captured by the imaging unit of the user terminal is acquired via the communication network.
Baseball data analysis method.
Sheet image acquisition procedure, sheet image storage procedure, manual data recognition procedure, analysis data storage procedure, data aggregation procedure, aggregation data storage procedure, analysis item input procedure, analysis sheet information generation procedure, and analysis sheet information Program to execute the output procedure:
In the sheet image acquisition procedure, an image of a baseball analysis sheet for each game is acquired.
In the baseball analysis sheet, the data of the game result is described by hand.
In the sheet image storage procedure, the image of the baseball analysis sheet is stored in association with the game information of the baseball analysis sheet.
In the handwriting data recognition procedure, the handwriting data described in the baseball analysis sheet is recognized and converted into computer-processable analysis data.
In the analysis data storage procedure, the analysis data is stored in the analysis table, and the analysis data is stored in the analysis table.
The data aggregation procedure generates match aggregation data that aggregates the data of each match based on the analysis table.
The aggregated data storage procedure includes a team table in which team attribute information is recorded, a player table in which player attribute information is recorded, and a match aggregate table.
In the total data storage procedure, the game total data is stored in the game total table in association with the team attribute information and the player attribute information.
In the analysis item input procedure, analysis item information to be analyzed can be input.
The analysis sheet information generation procedure generates analysis sheet information based on the game total table and the analysis item information.
The analysis sheet information output procedure outputs the analysis sheet information.
The baseball analysis sheet includes a baseball analysis sheet A and a baseball analysis sheet B.
The baseball analysis sheet A contains result data for each pitch.
The baseball analysis sheet B contains result data for each turn at bat.
In the sheet image acquisition procedure, both images of the baseball analysis sheets A and B are acquired.
In the sheet image storage procedure, the image of the baseball analysis sheet is stored in association with the game information.
The handwriting data recognition procedure recognizes the handwriting data described on the baseball analysis sheets A and B and converts them into analysis data A and B that can be processed by a computer.
In the analysis data storage procedure, the analysis data A and B are stored in the analysis tables A and B, respectively.
The data aggregation procedure generates match aggregation data that aggregates the data of each match based on the analysis tables A and B.
The program according to claim 15.
The data aggregation procedure generates pitcher match aggregation data A that aggregates the data of each match for each pitcher based on the analysis table A, and each match for each batter based on the analysis table B. Generate the batter match total data B that aggregates the data of
The game totaling table to be stored in the total data storage procedure includes a pitcher game totaling table A and a batter game totaling table B.
In the aggregated data storage procedure, the pitcher match aggregated data A is associated with the team attribute information and the player attribute information and stored in the pitcher match aggregated table A, and the batter match aggregated data B is stored in the team attribute. Stored in the pitcher match total table B in association with information and player attribute information.
16. The program of claim 16.
The analysis item information input by the analysis item input procedure includes the player name.
When the player name is entered by the analysis item input procedure,
The analysis sheet information generation procedure generates personal analysis sheet information of the athlete.
The analysis sheet information output procedure outputs the personal analysis sheet information and outputs the personal analysis sheet information.
If the player name is not entered according to the analysis item entry procedure,
In the analysis sheet information generation procedure, the team analysis sheet information of the team to which the user belongs is generated.
The analysis sheet information output procedure outputs the team analysis sheet information.
The program according to any one of claims 15 to 17.
In the handwritten data recognition procedure, a plurality of recognition candidate characters are listed in order of certainty, and the highest-ranked recognition candidate character listed is used as a recognition character.
The program according to any one of claims 15 to 18.
In addition, it includes a table display procedure for analysis and a data correction procedure.
The analysis table display procedure displays the analysis table to the user.
The data correction procedure modifies the analysis table based on the user's operation.
The program according to any one of claims 15 to 19.
Including baseball data analysis procedure
The baseball data analysis procedure is a procedure executed by the program according to any one of claims 15 to 20.
The sheet image acquisition procedure acquires an image of the baseball analysis sheet captured by the imaging unit of the user terminal via the communication network.
program.
A computer-readable recording medium on which the program according to any one of claims 15 to 21 is recorded.