JP2000075975A - Trace input/output device and storage medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To actualize a trace input/output device which can output a trace written on a writing surface so that the writer can see it. SOLUTION: The completion of the writing of one line is detected (S42:Yes) and data D(n) for which character recognition has not been done are retrieved (S44), and when there are data D(n) for which character recognition is not done (S46:Yes), the handwriting character image corresponding to the data D(n) is read out (S48) and compared with characters stored in a character strong area to extract the most similar character, which is recognized (S50). The handwriting character image is compared with respective handwriting specification data stored in a handwriting specification table to extract the writer corresponding to the most similar handwriting specification data and it is estimated that the extracted writer has written the read-out handwriting character image (S52). The character recognition result and writer estimation result are stored in the part corresponding to D(n) in a writing storage area.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a trajectory input / output device for detecting a trajectory written on a writing surface and outputting the detected trajectory to, for example, a recording device, and a computer for controlling the trajectory input / output device. The present invention relates to a storage medium on which a program is stored.

[0002]

2. Description of the Related Art Conventionally, for example, an electronic blackboard is known as the trajectory input / output device. The electronic blackboard includes a writing pen, a board, a transparent sheet provided on the board, a touch sensor provided in a matrix on the lower surface of the transparent sheet, and an LCD provided on the lower surface of the touch sensor. , A storage medium for storing the trajectory detected by the touch sensor, a printer for printing out the trajectory stored in the storage medium, and a CP for controlling the electronic blackboard
U. The electronic blackboard having the above-described configuration performs writing on the board, storing and printing a locus drawn by the writing, deleting the locus, displaying the stored locus, and the like.

[0003]

However, in the above-described conventional electronic blackboard, when a plurality of persons write and the trajectories of the writing are recorded on a recording sheet by a recording device, it is not enough to look at the recording sheet. However, there is a problem that it is difficult to know who wrote which part.

Therefore, the present invention realizes a trajectory input / output device capable of outputting a trajectory written on a writing surface so that the writer can understand the trajectory, and a storage medium storing a computer program for controlling the trajectory input / output device. The purpose is to:

[0005]

According to the present invention, in order to achieve the above object, a writing surface, writer specifying data for specifying a writer who writes on the writing surface, and Handwriting storage means for associating and storing handwriting identification data for specifying the handwriting of the writer, trajectory detection means for detecting a trajectory written on the writing surface, trajectory detected by the trajectory detection means, Writer identification means for comparing writer identification data stored in the storage means to identify writer identification data associated with the handwriting identification data, writer identification data identified by the writer identification means, And a trajectory output means for outputting the trajectory detected by the trajectory detection means in association with the trajectory.

According to a second aspect of the present invention, in the trajectory input / output device according to the first aspect, the character storage means storing characters such as characters and symbols, and the trajectory detected by the trajectory detection means are stored in the trajectory detected by the trajectory detection means. Recognizing means for referring to and recognizing the character stored in the character storage means, wherein the trajectory output means is rewritten by the writer specifying data specified by the writer specifying means and recognized by the recognizing means. A technical means is adopted in which the recognition result is output in association with the recognition result.

According to a third aspect of the present invention, in the trajectory input / output device according to the first or second aspect, a characteristic data detecting means for detecting characteristic data indicating characteristics of a trajectory written on the writing surface; A fluctuation value calculating means for calculating a fluctuation value of the characteristic data detected by the characteristic data detecting means; and a judging means for judging whether or not the fluctuation value calculated by the fluctuation value calculating means is smaller than a predetermined magnitude. And when the determination unit determines that the variation value is smaller than the predetermined size, the writer of the trajectory corresponding to the feature data that is the calculation target of the variation value calculation unit is the same writer And an identification means for identifying the above.

According to a fourth aspect of the present invention, in the writing trajectory input / output device according to any one of the first to third aspects, data output from the trajectory output means is recorded on a recording medium. The technical means that a recording means is provided is adopted.

According to a fifth aspect of the present invention, in the writing trajectory input / output device according to any one of the first to fourth aspects, the handwriting specifying data is a handwriting of a frequently-written character. Adopt technical means of identifying.

[0010] In the invention according to claim 6, a handwriting storage for storing a writing surface, writer specifying data specifying a writer who writes on the writing surface, and handwriting specifying data specifying a handwriting of the writer in association with each other. Means for detecting a trajectory written on the writing surface in a storage medium storing a computer program for controlling the trajectory input / output device provided with the means, and the detected trajectory and the detected trajectory are stored in the handwriting storage means. Writer identification program that specifies the writer identification data associated with the handwriting identification data by comparing with the handwriting identification data, the writer identification data identified by the writer identification program, and the detected trajectory And a trajectory output program that outputs the data in association with the data.

According to a seventh aspect of the present invention, in the storage medium according to the sixth aspect, the trajectory input / output device includes character storage means for storing characters such as characters and symbols. A recognition program for recognizing the detected trajectory with reference to the character stored in the character storage means is stored. The trajectory output program includes writer identification data specified by the writer specification program, and the recognition program. Technical means that is configured to output the recognition result recognized in association with the result.

According to an eighth aspect of the present invention, in the storage medium according to the sixth or seventh aspect, a feature data detection program for detecting feature data indicating a feature of a trajectory written on the writing surface; A variation value calculation program for calculating a variation value of the feature data detected by the feature data detection means; a determination program for determining whether the variation value calculated by the variation value calculation means is smaller than a predetermined magnitude; If the determination unit determines that the variation value is smaller than the predetermined size, the writer of the trajectory corresponding to the feature data that has been calculated by the variation value calculation unit is identified as the same writer. And a technical means that the stored identification program is stored.

According to a ninth aspect of the present invention, in the storage medium according to any one of the sixth to eighth aspects,
Technical means is employed in which a recording program for recording data output by the trajectory output program on a recording medium is stored.

According to a tenth aspect of the present invention, in the storage medium according to any one of the sixth to ninth aspects, the handwriting specifying data specifies a handwriting of a frequently-written character. Is adopted.

[0015]

According to the first aspect of the present invention, the handwriting storage means includes:
Writer identification data for specifying the writer who writes on the writing surface,
The handwriting specifying data for specifying the handwriting of the writer is stored in association with the handwriting, and the trajectory detecting means detects the trajectory written on the writing surface. Then, the writer identification unit compares the trajectory detected by the trajectory detection unit with the handwriting identification data stored in the handwriting storage unit, and identifies the writer identification data associated with the handwriting identification data, The trajectory output means outputs the writer specification data specified by the writer specification means and the trajectory detected by the trajectory detection means in association with each other. That is, since the writer can be specified based on the written trajectory and the writer can be associated with the trajectory and output, the writer can be known by using the output data. For example, if the data is recorded on the recording medium by the recording means, the writer's name can be recorded on the recording medium together with the trajectory written on the writing surface. be able to.

In particular, in the invention according to the second aspect, the recognizing means recognizes the trajectory detected by the trajectory detecting means with reference to the character stored in the character storage means, and the trajectory output means specifies the writer. The writer identification data specified by the means and the recognition result recognized by the recognition means are output in association with each other. That is, it is possible to output the result of recognizing the trajectory without outputting the written trajectory itself. For example, as described in an embodiment of the invention described later, a character handwritten on a tablet is recognized, and the recognition result is output to a printer, so that the character handwritten on the tablet can be printed in print. .

According to the third aspect of the present invention, the characteristic data detecting means detects characteristic data indicating characteristics of a trajectory written on the writing surface, and the variation value calculating means detects the characteristic data by the characteristic data detecting means. The fluctuation value of the characteristic data is calculated, and the determination means determines whether the fluctuation value calculated by the fluctuation value calculation means is smaller than a predetermined magnitude. Then, when the determination unit determines that the variation value is smaller than the predetermined size, the identification unit determines that the writer of the trajectory corresponding to the feature data calculated by the variation value calculation unit is the same writer. Identify that there is. In other words, by comparing the written trajectory with the handwriting previously stored for each writer, when specifying the writer, the amount of handwriting data that must be stored becomes enormous, and the CPU However, when the writer of a particular trajectory is specified, the magnitude of the change in the characteristics of the trajectory written before and after the trajectory is monitored. By regarding the writer as the same writer as the specified writer, the data amount and the calculation amount of the CPU can be reduced.

Furthermore, in the invention described in claim 5, the handwriting specifying data specifies handwriting of a character that is frequently written, so that the handwriting of all characters for each writer is stored. No need. Therefore, the storage capacity of the handwriting storage means can be small. For example, as described in an embodiment of the invention described later, when writing a sentence, one character always has a high probability of writing, "no",
The handwriting of particles such as "ha", "ga", and "wo" is stored for each writer.

According to the present invention, the trajectory written on the writing surface is detected, and the detected trajectory is compared with the handwriting identification data stored in the handwriting storage means to specify the handwriting. An writer identification program for identifying writer identification data associated with the data, a trajectory output program for outputting the writer identification data identified by the writer identification program and the detected trajectory in association with each other are stored. Since the storage medium is configured to be used, the trajectory input / output device according to any one of claims 1 to 5 can be realized by using the storage medium. That is, for example, as described in an embodiment of the invention described later, since the control of the trajectory input / output device is performed by a CPU built in the trajectory input / output device,
This is because the trajectory input / output device according to any one of claims 1 to 5 can be realized by being incorporated in the trajectory input / output device together with the PU.

Further, in the invention according to claim 7, the trajectory input / output device is provided with character storage means for storing characters such as characters and symbols, and the detected trajectory is stored in the character storage means. A recognition program for recognizing the character by referring to the stored character is stored, and the trajectory output program outputs the writer identification data specified by the writer specification program in association with the recognition result recognized by the recognition program. With this configuration, by using this storage medium, the trajectory input / output device according to claim 2 can be realized.

Further, according to the present invention, a feature data detecting program for detecting feature data indicating the feature of a trajectory written on a writing surface, and a variation value of the feature data detected by the feature data detecting means. And a determination program for determining whether or not the variation calculated by the variation calculation means is smaller than a predetermined magnitude. The determination program determines whether the variation is smaller than the predetermined magnitude. Is determined, the writer of the trajectory corresponding to the characteristic data that has been subjected to the calculation by the variation value calculator is stored with an identification program that identifies the writer as the same writer. Is used, the trajectory input / output device according to claim 3 can be realized.

According to the ninth aspect of the present invention, a recording program for recording data output by the locus output program on a recording medium is stored. Trajectory input / output device can be realized.

Furthermore, in the invention according to the tenth aspect, the handwriting specifying data specifies the handwriting of a character that is frequently written, so that if this storage medium is used, the trajectory according to the fifth aspect can be used. An input / output device can be realized.

[0024]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of a trajectory input / output device according to the present invention will be described below with reference to the drawings. In each of the embodiments described below, an electronic blackboard will be described as a representative example of the trajectory input / output device of the present invention. FIG. 1A is an external view illustrating the main configuration of the electronic blackboard according to the embodiment of the present invention. As shown in FIG. 1A, a frame 11 is provided on the electronic blackboard 10, and a stand 12 is attached to a lower portion of the frame 11. A touch panel 13 having a writing surface 13 a is attached to the frame 11.
And an ejection port 16 for ejecting a sheet on which a locus drawn on the writing surface 13a is printed. The electronic blackboard 10 has a writing surface 13.
a is provided with a pen 14 for writing. The horizontal direction of the writing surface 13a is set to the X axis, and the vertical direction is set to the Y axis, and the trajectory written on the writing surface 13a is represented by a set of (X, Y) coordinates.

Here, the configuration of the operation unit 20 will be described with reference to FIG. The operation unit 20 includes a power button 21 that is pressed when turning on and off the power of the electronic blackboard 10, a storage button 22 that is pressed when storing a locus written on the writing surface 13a, and a stored locus. A display button 23 that is pressed when reading and displaying on the touch panel 13; an erase button 24 that is pressed when deleting a locus displayed on the touch panel 13;
Button 25 that is pressed when printing a locus written on a sheet, and an LCD that displays the operation state of the electronic blackboard 10
26, a down button 27 that is pressed when setting the number of copies, and the like, and an up button 28.

Next, the electrical configuration of the electronic blackboard 10 will be described with reference to FIG. The electronic blackboard 10 includes a CPU 30 that performs control and processing such as detection of a trajectory written on the writing surface 13a, storage of the detected trajectory, display of the stored trajectory, character recognition of the stored trajectory, and estimation of the writer. Built-in. This CPU 30
, A buffer 37, a hard disk drive (hereinafter, referred to as HD) 31, a RAM 32, and a font ROM 39 are connected. The HD 31 has a CPU 30 as shown in FIG.
Are stored. The various computer programs are written surface 1
3a, a writer specifying program 31a for specifying the writer who wrote, a trajectory output program 31b for outputting the writer specified by the writer specifying program 31a in association with the trajectory, and character recognition of the written character Recognition program 31c, a feature data detection program 31d for detecting feature data indicating a feature of a trajectory, a variation value calculation program 31e for calculating a variation value of feature data detected by the feature data detection program 31d. , This fluctuation value calculation program 3
Determination program 31f for determining whether or not the fluctuation value calculated by 1e is smaller than a predetermined magnitude, and an identification program for identifying the same writer based on the determination result by the determination program 31f 31g, and a recording program 31h for performing recording.

The HD 31 has a character storage area 3 in which a character to be referred to when performing character recognition is stored.
1i and a handwriting storage area 31j in which handwriting specifying data for specifying the handwriting of the writer is provided. Also, R
The AM 32 temporarily stores a computer program read from the HD 31 when the CPU 30 operates, a processing result of the CPU 30, and the like. Further, the buffer 37 stores the trajectory written on the writing surface 13a for one character, and outputs the stored trajectory to the HD 31.

Returning to the description of FIG. 2, the touch panel 13 includes a touch sensor 13b provided in a matrix on the lower surface of the writing surface 13a, and a touch sensor 13b.
And an LCD 13c provided on the lower surface of the LCD.
The touch sensor 13b is connected with a coordinate detection circuit 33 that detects the coordinates of the trajectory based on a signal output from the touch sensor 13b, and a display circuit that outputs a display signal for displaying the trajectory on the LCD 13c. 34 are connected. The coordinate detection circuit 33 and the display circuit 34
It is connected to PU30. The CPU 30 also includes a printer 35 for recording the result of character recognition of the trajectory written on the writing surface 13a on paper, various buttons provided on the operation unit 20, an LCD 26, and a power supply for supplying power to each block. The circuit 36 is built in. Incidentally, the touch sensor 13b and the coordinate detection circuit 35 correspond to the trajectory detection means according to the first aspect.

Next, the contents of the main processing executed by the CPU 30 will be described with reference to the flowchart of FIG. The CPU 30 inputs a trajectory written on the writing surface 13a (step (hereinafter referred to as S) 1).
0), a process of estimating the writer (S40), and a process of printing the recognition result on a sheet (S110). next,
The contents of the trajectory input processing executed by the CPU 30 in S10 will be described with reference to FIGS. 3 (B), 4 and 7. FIG.
FIG. 3B is an explanatory diagram for explaining the characteristics of the trajectory written on the writing surface 13a, and FIG. 4 is an explanatory diagram showing the storage contents of the handwriting storage area 31j (FIG. 3A) of the HD 31. FIG. 7 is a flowchart showing the flow of the trajectory input processing.

In this case, the writer writes on the writing surface 13a.
In addition, the sentence "Today's agenda is new ... at the previous meeting ..." should be written horizontally from left to right. First, characteristics of a trajectory written on the writing surface 13a will be described with reference to FIG. In FIG. 3 (B), the particle "no" is shown as a representative as a written trajectory.
The width of the character frame 50 surrounding the outside of “no” is W, and the height of the character frame 50 is H. Also, the X at the left end of the character frame 50
The coordinate is X1, and the Y coordinate of the upper end of the character frame 50 is Y1.

Next, the contents stored in the locus storage area 31j will be described with reference to FIG. The trajectory storage area 31j is
The serial number N of the input character and the input time T
The X coordinate of the left end of the character frame 50 of the input character, the Y coordinate Y1 of the upper end of the character frame 50, the width W of the character frame 50,
A height H of the character frame 50, an image (hereinafter, referred to as a handwritten character image) A indicating a character handwritten on the writing surface 13a,
A result C of character recognition of the handwritten character image A (hereinafter, referred to as a recognition result) and a code for identifying the writer (hereinafter, referred to as a recognition result)
B), which are rewritably associated with each other. Note that the serial number N = 1,
A set of data corresponding to 2 .... is D (1),
D (2)... D (n).

Next, the flow of the trajectory input processing executed by the CPU 30 will be described with reference to FIG. It is assumed that the time is measured by a timer built in the CPU 30. First, the CPU 30 sets an initial value "1" to the serial number N (S12), and when it detects that the pen 14 has touched the writing surface 13a (S14: Yes), the touched time, that is, the input time. T is the locus storage area 3
1j is stored in a portion corresponding to N = 1 (S16), and a trajectory drawn by the contact of the pen 14 is detected (S18).
Subsequently, the CPU 30 stores the detected trajectory in the buffer 3.
7 (S20), and the stored locus is displayed on the LCD 13
c (S22). The CPU 30 proceeds to S18 until it detects that the writing of one character is completed in S24.
To S22 are repeated to detect, store, and display the trajectory. Whether or not the writing of one character has been completed is detected, for example, by detecting that the pen 14 has been separated from the writing surface 13a by a predetermined time or more.

When the CPU 30 detects the end of the writing of one character (S24: Yes), it takes in the trajectory stored in the buffer 37, analyzes the image data indicated by the trajectory, and obtains the X at the left end of the character frame. The coordinates, the top Y coordinate, the width W of the character frame, and the height H of the character frame are calculated (S26). Subsequently, the CPU 30 stores the analysis result and the image data in portions corresponding to N = 1 in the locus storage area 31j (S28), clears the buffer 37 (S30), and sets "1" to the serial number N. The value is incremented (S32). Then, the CPU 30 returns to S14, waits until the pen 14 makes contact, and when the contact of the pen 14 is detected, executes the above S16 to S32 and stores various data for the second character in the locus storage area 31j.
As described above, the CPU 30 executes the above processing every time a character is written on the writing surface 13a,
Fill in 1j.

Next, the flow of the writer estimation process executed by the CPU 30 in S40 will be described with reference to the flowchart of FIG. As shown in FIG. 5B, the RAM 32 stores a handwriting specification table 32a configured by associating a writer's name with handwriting specification data for specifying a handwriting. In this embodiment,
The handwriting specifying data corresponding to the author names "Yamada", "Suzuki", and "Sato" are D1, D2, and D3, respectively, and handwriting data of kanji and hiragana that are frequently written are used as handwriting specifying data. When the CPU 30 detects that writing of one line on the writing surface 13a has been completed (S4).
2: Yes), the C column is not stored in the locus storage area 31j, that is, D (n) in which character recognition is not performed.
Is searched (S44). In the first search, D (1) is searched because no character has been recognized. Subsequently, when the CPU 30 detects the presence of D (n) for which character recognition has not been performed (S46: Yes), the handwritten character image is read from the A column of the detected D (n) in the trajectory storage area 31j. (S48), the read handwritten character image and the character storage area 31i (FIG. 3).
Character recognition is performed by comparing the character stored in (A)) and extracting the most similar character (S50).

Subsequently, the CPU 30 sets the handwriting storage area 31
j, the handwritten character image stored in the A column is read, and the read handwritten character image and the handwriting identification table 32a are read.
Handwriting identification data D1, D2, D3
And extracts the writer corresponding to the most similar handwriting specifying data, and presumes that the extracted writer is the writer who wrote the read handwritten character image (S5).
2). For example, the most similar handwriting identification data is D
If it is 1, the writer estimates that it is "Yamada". In this case, the writer identification code is “1”. And C
The PU 30 determines the character recognition result in S50 and S52
Is stored in the C column and the B column corresponding to D (n) retrieved in S44 of the handwriting storage area 31j (S54).

Next, the flow of the printing process executed by the CPU 30 in S110 (FIG. 6) will be described with reference to FIGS. FIG. 5A is an explanatory diagram showing the writer's name printed on the paper and the recognition result.
1 is a flowchart illustrating the flow of a printing process. As shown in FIG. 5C, the RAM 32 stores a writer name table 32b configured by associating the writer identification code B with the writer name. When detecting that the print button 25 (FIG. 1B) has been turned on (S112: Yes), the CPU 30 stores the writer name corresponding to the writer identification code stored in the column B of the handwriting storage area 31j in the writer name table. The recognition result is read from the C column of the handwriting storage area 31j (S116). Then, CPU 30 reads out the font data corresponding to the read writer's name and the recognition result from font ROM 39 (FIG. 2), and outputs the read font data to printer 35. As shown in (1), the author name 38a and the recognition result 38b are printed on the paper 38 (S118). A space for printing the writer's name 38a is automatically created in a predetermined portion of the paper. When the writer changes in the middle of the writing surface 13a, FIG.
As shown in (A), the strange writer's name (Suzuki) is printed.

As described above, by using the electronic whiteboard 10 of the first embodiment, it is possible to print the writer who has written on the writing surface 13a in association with the recognition result of the written trajectory. Therefore, the author can be known.

Next, an electronic blackboard according to a second embodiment of the present invention will be described with reference to FIGS. The electronic blackboard according to the second embodiment is characterized in that the storage capacity for storing the writer identification data necessary for estimating the writer and the amount of calculation of the CPU executed for the writer estimation can be reduced. FIG. 9 is a view showing the C built in the electronic blackboard of the second embodiment.
FIG. 10 is a flowchart showing a writer estimation process executed by the PU, and FIG. 10 is a flowchart showing a flow of the handwriting data analysis process executed in S80 or S102 of FIG. In addition, as a kind of handwriting identification data (FIG. 5B), "no", "ha", "ga",
Particles such as "wo" (hereinafter referred to as author estimation target characters)
Is set in the HD 31 and the handwriting data of the particle is stored in the handwriting specifying table 32a as handwriting specifying data. Further, B in the locus storage area 31j
If “−1” is stored in the column, it indicates that the writer's estimation has not been performed. The electronic blackboard according to the second embodiment has the same structure as the first blackboard except for the writer estimation process shown in FIG.
Since it has the same configuration as the electronic blackboard of the embodiment,
The description will focus on the writer estimation process.

When the CPU 30 detects that the writing for one line has been completed (S62: Yes), the CPU 30 searches for D (n) for which no character recognition has been performed (S64). When the presence of (n) is detected (S66: Ye
s), the detected D in the trajectory storage area 31j.
The handwritten character image is read from the column A of (n) (S68),
Character recognition of the read handwritten character image is performed (S7).
0). Then, the CPU 30 determines whether or not the character indicated by the result of the character recognition is the writer estimation target character (S72). For example, if the character recognition result is
If it is “no” included in “this time”, CP
U30 calculates the handwritten character image read in S68,
The writer is estimated by comparing each of the handwriting specifying data stored in the handwriting specifying table 32a (S74).

Subsequently, the CPU 30 determines the D which has been searched this time.
It is determined whether or not “−1” is stored in the B column corresponding to D (n−1) searched immediately before (n) (S7).
6) If "-1" is stored (S76: Ye)
s) A handwriting data analysis process is performed (S80). here,
The flow of the handwriting data analysis process executed by the CPU 30 will be described with reference to FIG. The CPU 30 calculates the difference between D (n-1) and D (n), ΔT, ΔX, and ΔY for the time T, the X coordinate, and the Y coordinate with reference to the trajectory storage area 31j (S82). ΔT is the difference between the time at which the previous character was written and the time at which the current character was written. If this difference is small, it is estimated that the characters have been continuously written. That is, it is estimated that the same writer is writing. ΔX is the difference between the width of the character written immediately before and the width of the character written this time. If the difference is small, it is estimated that the same writer is writing. Further, ΔY is the difference between the height of the character written immediately before and the height of the character written this time. If the difference is small, it is estimated that the same writer is writing.

Subsequently, the CPU 30 determines that ΔT is smaller than the set value T1 preset in the HD 31 (S30).
84: Yes), it is determined that ΔX is smaller than the set value X1 (S86: Yes), and if it is determined that ΔY is smaller than the set value Y1 (S88: Yes), the writer of the previous character and this time Is assumed to be the same writer,
The same writer flag is set (S90), and the process returns to writer estimation processing 2 (S92). That is, if any one of ΔT, ΔX, and ΔY is equal to or greater than the respective set value, it is not estimated that they are the same writer. Then, the CPU 30 determines whether or not the same writer flag is set (S92 in FIG. 9). If the same writer flag is set (S92: Yes),
The writer identification code, which is the writer estimation result of D (n), is D (n).
-1) Copy to column B (S94). That is, the same writer is identified.

Subsequently, the CPU 30 stores the writer identification code, which is the writer estimation result in S74, in the B column corresponding to D (n) (S96), and stores the character recognition result in S70 in C corresponding to D (n). In the field (S98). If the CPU 30 determines in S72 that the character is not the writer estimation target character (S72: No), the CPU 30 proceeds to S100.
Then, the character recognition result in S70 is stored (S10).
0), the same handwriting data analysis processing as in S80 described above is performed (S102). Then, when the same writer flag is set (S104: Yes), the CPU 30 sets D (n-
The writer identification code (writer identification result) stored in column B corresponding to 1) is copied to column B corresponding to D (n) (S106). That is, when the variation values of ΔT, ΔX, and ΔY are all small, the writer of the immediately preceding character and the writer of the character written this time are identified as the same writer. Then, when the print button 25 is pressed, the CPU 30
The print processing shown in FIG. 11 is executed, and the author name 38a and the recognition result 38b are associated with each other and printed on the paper 38 as shown in FIG.

As described above, by using the electronic whiteboard 10 of the second embodiment, it is possible to print the author who has written on the writing surface 13a in association with the recognition result of the written locus. Therefore, the author can be known. Moreover,
Since the writer identification data necessary for estimating the writer is narrowed down and stored, it is possible to reduce the storage capacity for storing the writer identification data and the amount of computation of the CPU executed for the writer estimation. As data for determining whether or not the writer is the same, data obtained by detecting the writing direction of a specific portion in a character can be used in addition to the above-described ΔT, ΔX, and ΔY.

Further, in each of the above embodiments, the case where the writer's name and the recognition result are printed in association with each other has been described. For example, when the writer is “Yamada”, the recognition result is printed in black, and when the writer is “Suzuki”, the recognition result is printed in red. According to this, the writer can be known by looking at the printed color. Further, the writer may be specified by a number or a code, or means for changing a font for each writer (font changing means) may be provided. By the way, in each of the above-described embodiments, an electronic blackboard has been described as a trajectory input / output device of the present invention. However, it is needless to say that the present invention can be applied to an electronic organizer and the like. Furthermore, in each of the embodiments described above, the configuration in which the CPU is built in the electronic blackboard is described as a representative, but the electronic blackboard may be connected to a computer and the computer may control the electronic blackboard. In this case, when a computer program for executing the processes described in the above embodiments by the computer is stored in a CD-ROM, an FD, or the like, and provided by being installed in the computer, the CD-ROM and FD
And the like correspond to the storage medium of the present invention.

By the way, the trajectory storage area 31j corresponds to the handwriting storage means of the first aspect, the character storage area 31i corresponds to the character storage means of the second aspect, and the paper 38 is the fourth aspect. Corresponding to the recording medium of
The printer 35 corresponds to a recording unit. Also, the CPU 30
S16 functions as the trajectory detecting means described in claim 1, S52 and S74 function as the writer specifying means, and S110 to S118 function as the trajectory output means. Further, S50 and S7 executed by the CPU 30
0 functions as the recognizing means according to claim 2, and S24
And S26 function as the characteristic data detecting means according to claim 3, S82 functions as the fluctuation value calculating means,
84 to S88 function as determination means;
106 functions as identification means.

[0046]

According to the present invention, the writer specifying data for specifying the writer who writes on the writing surface is associated with the handwriting specifying data for specifying the handwriting of the writer. A writer that compares the trajectory detected by the trajectory detection means with the trajectory detected by the trajectory detection means and the trajectory identification data stored in the trajectory storage means and specifies the writer identification data associated with the handwriting identification data A writer is specified based on the written trajectory because the writer is provided with tracing output means for outputting the writer specifying data specified by the writer specifying means and the trajectory detected by the trajectory detecting means in association with each other. Then, the author and the trajectory can be output in association with each other. Therefore, the writer can be known by using the output data.

In particular, according to the second aspect of the present invention, the trajectory detected by the trajectory detecting means is specified by the recognition means for recognizing the trajectory by referring to the character stored in the character storage means, and the writer specifying means. And the trajectory output means for outputting the writer identification data and the recognition result recognized by the recognition means in association with each other, so that the trajectory recognition result can be output without outputting the written trajectory itself. .

According to the third aspect of the present invention, a feature data detecting means for detecting feature data indicating a feature of a trajectory written on a writing surface, and a feature data detecting means for detecting feature data detected by the feature data detecting means. Fluctuation value calculating means for calculating a fluctuation value; determining means for determining whether or not the fluctuation value calculated by the fluctuation value calculating means is smaller than a predetermined value; If it is determined that the trajectory of the written trajectory is the same as the writer of the trajectory corresponding to the characteristic data that has been calculated by the variation value calculating means, The magnitude of the feature change is monitored, and if the change is small, it is regarded as the same writer, thereby reducing the data amount and the CPU operation amount.

Further, according to the invention described in claim 5,
Since the handwriting identification data specifies the handwriting of a character that is frequently written, it is not necessary to store the handwriting of all characters for each writer. Therefore,
The storage capacity of the handwriting storage means can be small.

According to the invention described in claim 6,
A writer that detects a trajectory written on a writing surface, compares the detected trajectory with handwriting identification data stored in handwriting storage means, and identifies writer identification data associated with the handwriting identification data Since the specific program, the writer identification data specified by the writer specific program, and a trajectory output program that outputs the detected trajectory in association with each other, the storage medium is stored. By using this, the trajectory input / output device according to claims 1 to 5 can be realized.

According to the seventh aspect of the present invention, the trajectory input / output device includes character storage means for storing characters such as characters and symbols, and stores the detected trajectory in a character storage. A recognition program that recognizes the character by referring to the character stored in the means is stored, and the trajectory output program associates the writer identification data specified by the writer specification program with the recognition result recognized by the recognition program. It is configured to output the data.
Can be realized.

Further, according to the invention described in claim 8,
A feature data detection program for detecting feature data indicating features of a trajectory written on a writing surface, a variation value calculation program for calculating a variation value of feature data detected by the feature data detection means, and a variation value calculation means A determination program for determining whether or not the fluctuation value calculated by the variable value is smaller than a predetermined magnitude; and, if the determination means determines that the fluctuation value is smaller than the predetermined magnitude, calculation by the fluctuation value calculation means. 4. The trajectory input / output device according to claim 3, wherein an identification program for identifying the writer of the trajectory corresponding to the target feature data is the same writer. Can be realized.

According to the ninth aspect of the present invention, a recording program for recording data output by the locus output program on a recording medium is stored. Can be realized.

Further, according to the tenth aspect of the present invention, the handwriting specifying data specifies the handwriting of a frequently written character. Trajectory input / output device can be realized.

[Brief description of the drawings]

FIG. 1A is an external view illustrating the main structure of an electronic blackboard according to an embodiment of the present invention, and FIG. 1B is a view illustrating FIG.
FIG. 4 is an explanatory diagram showing an enlarged operation unit 20 provided on the electronic blackboard shown in FIG.

FIG. 2 is an explanatory diagram showing a main electrical configuration of the electronic blackboard shown in FIG.

FIG. 3A is an explanatory diagram showing storage contents of an HD 31, and FIG. 3B is an explanatory diagram for explaining features of a trajectory written on a writing surface 13a.

FIG. 4 is an explanatory diagram showing storage contents of a handwriting storage area 31j of the HD 31.

FIG. 5A is an explanatory diagram showing a writer name printed on a sheet and a recognition result, and FIG. 5B is an explanatory diagram showing a configuration of an writer identification table; () Is an explanatory diagram showing the configuration of the writer name table 32b.

FIG. 6 is a flowchart showing a flow of main processing executed by a CPU 30.

FIG. 7 is a flowchart illustrating a flow of a character input process executed by the CPU 30 in S10 of FIG. 6;

FIG. 8 is a flowchart showing a flow of a writer estimation process executed by the CPU 30 in S40 of FIG. 6;

FIG. 9 is a flowchart illustrating a flow of a writer estimation process executed by a CPU 30 according to the second embodiment of the present invention.

FIG. 10 is a flowchart showing the content of handwriting data analysis processing executed by CPU 30 in S80 or S102 of FIG. 9;

FIG. 11 is a flowchart illustrating a flow of a printing process executed by the CPU 30 in S110 of FIG. 6;

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 10 Electronic blackboard 13 Touch panel 13a Writing surface 13b Touch sensor (trajectory detection means) 13c LCD (trajectory display means) 14 Pen 20 Operation part 30 CPU 31 HD (storage medium) 35 Printer

Claims (10)

[Claims] 1. A writing surface, writer specifying data for specifying a writer who writes on the writing surface, and handwriting storage means for storing handwriting specifying data for specifying the writing of the writer in association with each other; A trajectory detecting means for detecting the trajectory written on the trajectory, and comparing the trajectory detected by the trajectory detecting means with the handwriting identification data stored in the handwriting storage means, Writer specifying means for specifying the writer specifying data, and trajectory output means for outputting the writer specifying data specified by the writer specifying means in association with the trajectory detected by the trajectory detecting means. A trajectory input / output device characterized in that: 2. Character storage means in which characters such as characters and symbols are stored, and recognition means for recognizing a trajectory detected by the trajectory detection means with reference to the character stored in the character storage means; Wherein the trajectory output means is configured to output the writer specification data specified by the writer specification means in association with the recognition result recognized by the recognition means. The trajectory input / output device according to claim 1, wherein 3. A feature data detecting means for detecting feature data indicating a feature of a trajectory written on the writing surface; a variation value calculating means for calculating a variation value of the feature data detected by the feature data detecting means; Determining means for determining whether the variation value calculated by the variation value calculating means is smaller than a predetermined magnitude; and determining that the variation value is smaller than the predetermined magnitude by the determination means. The writer of the trajectory corresponding to the feature data that has been calculated by the fluctuation value calculating means is:
3. The trajectory input / output device according to claim 1, further comprising: identification means for identifying the same writer. 4. A writing trajectory according to claim 1, further comprising recording means for recording data output from said trajectory output means on a recording medium. I / O device. 5. The handwriting trajectory input / output according to claim 1, wherein the handwriting specifying data specifies handwriting of a character that is frequently handwritten. apparatus. 6. A trajectory provided with a writing surface and handwriting storage means for storing writer specifying data for specifying a writer who writes on the writing surface and handwriting specifying data for specifying a handwriting of the writer in association with each other. In a storage medium storing a computer program for controlling the input / output device, a trajectory written on the writing surface is detected, and the detected trajectory and handwriting identification data stored in the handwriting storage unit are detected. A writer specifying program for comparing and specifying the writer specifying data associated with the handwriting specifying data; a trajectory for outputting the writer specifying data specified by the writer specifying program in association with the detected trajectory; A storage medium characterized by storing an output program and. 7. The trajectory input / output device includes character storage means for storing characters such as characters and symbols, and refers to the detected trajectory with reference to the character stored in the character storage means. The trajectory output program is configured to output the writer identification data specified by the writer specification program in association with the recognition result recognized by the recognition program. The storage medium according to claim 6, wherein: 8. A feature data detection program for detecting feature data indicating a feature of a trajectory written on the writing surface, a variation value calculation program for calculating a variation value of feature data detected by the feature data detection means, A determination program for determining whether or not the variation value calculated by the variation value calculation means is smaller than a predetermined magnitude; and if the determination means determines that the variation value is smaller than the predetermined magnitude, The writer of the trajectory corresponding to the feature data that has been calculated by the fluctuation value calculating means is:
The storage medium according to claim 6, wherein an identification program for identifying the same writer is stored. 9. A recording program for recording data output by the trajectory output program on a recording medium, wherein the recording program is stored.
The storage medium according to any one of the above. 10. The storage medium according to claim 6, wherein the handwriting specifying data specifies handwriting of a frequently-written character.