JPH11134107A - Coordinate correcting method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To detect abnormal coordinates without depending upon an input technique or input device and to replace them by calculating the movement quantities of axes X and Y between the coordinates of coordinate data an predicting moving direction of the entirety. SOLUTION: Relating to a data processor M2, an initial data acquisition procedure M20 acquires coordinate from the input device M1 and prepares initial data and a coordinate/movement quantity acquiring means M21 calculates movement quantities from the coordinate data and stores them by X and Y movement quantities in a movement quantity storage part M31. An abnormal X coordinate detecting procedure M22 detects abnormal coordinates for the X-axial movement quantities and an abnormal X-coordinate replacing procedure M23 replaces the abnormal X coordinates with coordinates predicted from past and current data. Even for the Y-axial movement quantities, an abnormal Y-coordinate replacing procedure M25 replaces the abnormal Y coordinates. A coordinate output procedure 26 outputs the coordinates after calculation to an output device M4 and a history data update procedure M27 updates the coordinate data and movement quantity data stored in a storage device M3.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a coordinate correction method, and more particularly to a coordinate correction method for predicting abnormal coordinates in a coordinate input device and replacing the coordinates with correct coordinates.

[0002]

2. Description of the Related Art As shown in FIG. 5, a conventional coordinate correction method includes an input device N1 for acquiring an input locus as coordinates, a data processing device N2 for calculating acquired coordinates and calculating abnormal coordinates, and Storage device N for storing coordinate data
3 and an output device N4 for outputting the coordinates calculated using these.

The data processing device N2 includes a coordinate acquisition procedure N20 for acquiring initial data from the input device N1, a history data update procedure N21 for rewriting the coordinate data in the storage device N3, and a generated coordinate in the output device N4. A coordinate output procedure N22 for outputting the coordinate data to the input device N
1 and a coordinate comparison procedure N24 for comparing current coordinates with past history information stored in the storage device N3.

Further, a storage device N3 is provided with a coordinate storage unit N30 for storing data obtained from the input device N1.
It is composed of

Next, the operation of such a conventional coordinate correction method will be described with reference to the drawings.

As shown in FIG. 6, the operation of the conventional coordinate correcting method is as follows. First, the X coordinate acquired from the input device N1 in the processing L1 is stored in the latest X coordinate work Xn, and the obtained Y coordinate is converted into the latest Y coordinate. It is stored in the coordinate work Yn. Second, processing L2
Then, the latest X coordinate work Xn is stored in the determined X coordinate work Xo, and the latest Y coordinate work Yn is stored in the determined Y coordinate work Yo. Third, in process L3, the values of the confirmed X coordinate work Xo and the confirmed Y coordinate work Yo are output to the output device N4. Fourth, in process L4, the X coordinate from the input device N1 is newly stored in the latest X coordinate work Xn, and the Y coordinate is newly stored in the latest Y coordinate work Yn. Fifth, in process L5, the latest X coordinate work Xn is compared with the previously determined X coordinate work Xo to determine whether the movement amount is within the range of the maximum movement amount R of the apparatus. Similarly, the latest Y coordinate work Yn is replaced with the final determined Y coordinate work Yo.
Is compared with whether the movement amount is within the range of the maximum movement amount R of the apparatus. When both the results are within the range of the maximum movement amount R, the process returns to the processing L2, and the current latest coordinates Xn, Yn are stored as the determined coordinates Xo, Yo. If the result exceeds the maximum movement amount R, the process returns to the processing L3, and the current determined coordinates Xo, Yo are continuously output to the output device N4. Therefore, the latest coordinates Xn, Yn are determined coordinates Xo, Y
If it occurs at a position exceeding the maximum movement amount R of o, the coordinates are determined as abnormal coordinates, and as alternatives, the current confirmed coordinates Xo, Yo are output.

As described above, according to the conventional coordinate correction method, how much the coordinates of the input trajectory acquired from the input device have moved from the previously determined coordinates to the current latest coordinates is determined as the amount of movement for each of X and Y. A method of detecting and determining whether the movement amount is larger than the maximum movement amount of the input method and determining whether the current trajectory is abnormal coordinates, and further replacing the abnormal coordinates with the previously determined coordinates and outputting the coordinates. Met.

[0008]

However, in the conventional coordinate correction method, the maximum movement amount has to be determined in order to detect abnormal coordinates. Therefore, the maximum movement amount is determined by the input method of the device and the type of input device. And it affects the user's input sensation, making it difficult to determine the value.When an abnormal coordinate is detected, the abnormal coordinate is set to the same as the last confirmed coordinate. Since the coordinates are output, there is a problem that the original correct coordinates cannot be obtained.

An object of the present invention is to provide a coordinate correction method for detecting abnormal coordinates, predicting original coordinates, and performing replacement without depending on an input method or an input device.

[0010]

In order to solve the above-mentioned problems, a coordinate correction method according to the present invention is to input a continuous trajectory as coordinates and to perform correction calculation while comparing with a past coordinate history data. Then, with the coordinate correction method of outputting the corrected coordinate data, the amount of movement of the X and Y axes between the coordinates of the accumulated coordinate data is calculated to predict the entire moving direction,
If the amount of movement before and after the coordinate data does not match the overall movement direction, it is determined that the coordinates are abnormal abnormally occurring suddenly, and the middle point is calculated from the data before and after the coordinates determined to be abnormal. It is characterized in that accurate coordinates are obtained by replacing the abnormal coordinates.

[0011]

Next, a coordinate correcting method according to an embodiment of the present invention will be described with reference to the drawings.

FIG. 1 is a configuration diagram of a coordinate correction method according to an embodiment of the present invention.

FIG. 2 is a first flowchart of a coordinate correction method according to an embodiment of the present invention.

FIG. 3 is a second flowchart of the coordinate correction method according to the embodiment of the present invention.

FIG. 4 is a third flowchart of the coordinate correcting method according to the embodiment of the present invention.

As shown in FIG. 1, a coordinate correction method according to an embodiment of the present invention includes an input device M1 for acquiring an input locus as coordinates, and a data processing device M2 for calculating the acquired coordinates and calculating abnormal coordinates. And a storage device M3 for storing past coordinate data, and an output device M4 for outputting coordinates calculated using the storage device M3.

The data processing device M2 includes an input device M
1. An initial data acquisition procedure M20 for acquiring coordinate data from the input device 1 and preparing initial data, and a coordinate / movement amount acquisition unit M2 for calculating and storing a movement amount from coordinate data from the input device M1.
1. An abnormal X coordinate detection procedure M22 for detecting abnormal coordinates with respect to the movement amount of the X axis, and an abnormal X coordinate replacement procedure M for replacing the abnormal X coordinates with coordinates predicted from old and current X coordinate data
23. Abnormal Y for detecting abnormal coordinates with respect to Y-axis movement
A coordinate detection procedure M24, an abnormal Y coordinate replacement procedure M25 for replacing the abnormal Y coordinate with the coordinates predicted from the old and current Y coordinate data, a coordinate output procedure M26 for outputting the calculated coordinates to the output device M4, and a storage device M3. History data update procedure M for updating accumulated coordinate data and movement amount data
27.

Further, the storage device M3 includes a coordinate storage unit M32 for storing the acquired X coordinate and Y coordinate, a movement amount storage unit M31 for storing the movement amount between the acquired coordinates for each of the X movement amount and the Y movement amount. It is composed of

Next, the operation of the coordinate correction method according to one embodiment of the present invention will be described with reference to the drawings.

The operation of the coordinate correcting method according to the embodiment of the present invention is as follows. First, as shown in FIGS. 2 to 4, first, in steps S1, S2, S3 and S4, five initial coordinate data are obtained. And store the data for each of the X and Y coordinates.
The process S1 acquires an X coordinate and a Y coordinate from the input device M1,
These are stored in coordinate work X0 and coordinate work Y0, respectively. The process S2 also acquires coordinates from the input device M1, and stores the coordinates in the coordinate work X1 and the coordinate work Y1, respectively. The process S3 also acquires coordinates from the input device M1, and stores the coordinates in the coordinate work X2 and the coordinate work Y2, respectively.
The process S4 also acquires coordinates from the input device M1 and stores them in the coordinate work X3 and the coordinate work Y3, respectively.

Second, in steps S5, S6 and S7, the amount of movement between the previously acquired coordinates is calculated. This calculation is obtained from the difference between the previously obtained coordinates and the next obtained coordinates. In processing S5, the movement amounts from the previously acquired X0, Y0 to the next acquired X1, Y1 are calculated, and X
Movement work {X01, movement work} for each axis and Y axis
Store it in Y01. The processing S6 is also performed from X1, Y1 to X2,
The movement amount up to Y2 is stored in the movement amount work # X12 and the movement amount work # Y12, respectively. Processing S7 is also performed in X2, Y
The movement amounts from 2 to X3 and Y3 are stored in a movement amount work # X23 and a movement amount work # Y23, respectively.

Third, in step S8, an X coordinate and a Y coordinate are obtained from the input device M1 and stored in the coordinate work X4 and the coordinate work Y4. The processing S9 is performed on the previously acquired X3, Y
3 to the next acquired X4 and Y4 are calculated.
It is stored in the moving amount work # Y34.

Fourth, in the process S10, the moving amount work # X01 which is the moving amount from X0 to X1 and the moving amount work # X34 which is the moving amount from X3 to X4 are both positive or negative numbers. If any of them, the coordinate locus is X
Processing S11 assuming that they are moving in the same direction with respect to the axis
Proceed to. If the signs do not match, the process proceeds to step S14 assuming that the coordinate locus is moving in the opposite direction to the X axis.

Next, in step S11, a movement amount work # X12, which is a movement amount from X1 to X2, and a movement amount work # X23, which is a movement amount from X2 to X3, are positive and negative numbers or negative numbers. If it has a positive number, it is assumed that the movement amount on both sides of X2 is moving in the opposite direction with respect to the X axis, the coordinates X2 are predicted as abnormal coordinates, and the process proceeds to step S12. If both the signs match, the process proceeds to step S14 assuming that the coordinates X2 are moving in the same direction. In step S12, the coordinates X2 are predicted as abnormal coordinates, and the coordinate work X1 which is the X coordinate data before and after the coordinates X2 is predicted. From the coordinate work X3, the X coordinate of the midpoint is calculated, stored in the coordinate work X2, and the process S13 is performed.
In step S12, the coordinates X2 are changed, and the re-calculation of the moving amount work # X12 and the moving amount work # X23 including X2 as a base point is performed.

Fifth, in step S14, the moving amount work △ Y01 which is the moving amount from Y0 to Y1 and the moving amount work △ Y34 which is the moving amount from Y3 to Y4 are both positive or negative numbers. If either, the coordinate locus is Y
Process S15 assuming that it is moving in the same direction with respect to the axis
Proceed to. If the signs do not match, the process proceeds to step S18 assuming that the coordinate locus is moving in the opposite direction with respect to the Y axis, and in process S15, the moving amount work △ Y12, which is the moving amount from Y1 to Y2. And the moving amount work △ Y23, which is the moving amount from Y2 to Y3, has positive and negative numbers or negative and positive numbers, the moving amounts on both sides of Y2 are opposite to the Y axis. And the coordinate Y2
Is predicted as abnormal coordinates, and the process proceeds to step S16. If both the signs are the same, the process proceeds to step S18 assuming that they are moving in the same direction. In step S16, the coordinate Y2 is predicted as the abnormal coordinate, and the coordinate work Y1 as the Y coordinate data before and after the coordinate Y2. From the coordinate work Y3, the Y coordinate of the middle point is calculated and stored in the coordinate work Y2. In the process S17, the coordinate Y2 is changed in the process S16. Moving amount work Y23
Is recalculated.

Sixth, in step S18, the output device M4
The coordinate work X0 and the coordinate work Y0 are output as the fixed coordinates. Seventhly, the processing S19, S20, S21, S22
Then, in step S19, the coordinate work X0 is updated to the coordinate work X1 and the coordinate work Y0 is updated to the coordinate work Y1 and stored in step S19. In step S20, the coordinate work X1 is updated and stored in the coordinate work X2, and the coordinate work Y1 is updated and stored in the coordinate work Y2. In process S21, the coordinate work X2 is updated and stored in the coordinate work X3, and the coordinate work Y2 is updated and stored in the coordinate work Y3. In process S22, the coordinate work X3 is updated and stored in the coordinate work X4, and the coordinate work Y3 is updated and stored in the coordinate work Y4.

Eighth, in steps S23, S24 and S25,
Update the moving amount work. In the process S23, the moving amount work # X01 is updated and stored in the moving amount work # X12, and the moving amount work # Y01 is updated and stored in the moving amount work # Y12. In the process S24, the moving amount work {X12 is moved to the moving amount work}.
In X23, the moving amount work △ Y12 is moved to the moving amount work △ Y2.
Update to 3 and store. In the process S25, the moving amount work
X23 is set to the moving work △ X34, and the moving work △ Y2
3 is updated and stored in the moving amount work No. Y34, and thereafter,
Proceeding to step S8, new coordinates are acquired from the input device M1, and the process continues.

Therefore, the outline of this method is that the acquired coordinates are decomposed into an X axis and a Y axis.
It is assumed that the trajectory is moving in a certain direction when the movement amounts △ X01 and △ X34 are the same in the directions of the five coordinate trajectories X1, X2, X3 and X4. At this time, when the movement amounts △ X12 and △ X23 on both sides of the survey coordinate X2 are in opposite directions, the coordinate X2 is determined as an abnormal coordinate, and the middle point of the coordinates X1 and X3 on both sides of the coordinate X2 is New coordinate X2
Assign as At this time, the associated movement amounts △ X12 and △ X23 are also recalculated with the change in the coordinate X2. Similarly, for the Y axis, Y0, Y1, Y2,
The directions of the five coordinate trajectories Y3 and Y4 are represented by a moving amount △ Y01,
It is assumed that the trajectory is moving in a certain direction when ΔY34 is in the same direction. At this time, when the movement amounts △ Y12 and △ Y23 on both sides of Y2, which are the survey coordinates, are in the opposite directions, the coordinates Y2 are determined as abnormal coordinates, and the middle point between the coordinates Y1 and Y3 on both sides of the coordinates Y2 is A new coordinate Y2 is assigned. At this time, the associated movement amounts 座標 Y12 and △ Y23 are also recalculated along with the change in the coordinate Y2, and the coordinates X2 and Y2 are checked and corrected in these processes, and the process is executed.

[0029]

As described above, according to the coordinate correction method of the present invention, by calculating and comparing the movement amount from the past coordinate history, it is possible to detect abnormal coordinates without using the maximum movement amount, and By generating the original position of the coordinates detected as the abnormal coordinates from the coordinate data before and after that, there is an effect that the coordinates can be replaced with more accurate coordinates and output.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of a coordinate correction method according to an embodiment of the present invention.

FIG. 2 is a first flowchart of a coordinate correction method according to an embodiment of the present invention.

FIG. 3 is a second flowchart of the coordinate correction method according to the embodiment of the present invention;

FIG. 4 is a third flowchart of the coordinate correction method according to the embodiment of the present invention;

FIG. 5 is a configuration diagram of a conventional coordinate correction method.

FIG. 6 is a flowchart of a conventional coordinate correction method.

[Explanation of symbols]

 M1 input device M2 data processing device M3 storage device M4 output device M20 initial data acquisition procedure M21 coordinate / movement amount acquisition means M22 abnormal X coordinate detection procedure M23 abnormal X coordinate replacement procedure M24 abnormal Y coordinate detection procedure M25 abnormal Y coordinate replacement procedure M26 Coordinate output procedure M27 History data update procedure M31 Movement amount storage unit M32 Coordinate storage unit

Claims (1)

[Claims] 1. A continuous movement locus is input as coordinates,
Correction calculation is performed while comparing with the past coordinate history data, and the coordinate correction method of outputting the corrected coordinate data is used to calculate the amount of movement of the accumulated X and Y axes between the coordinates of the coordinate data, thereby obtaining the whole. If the amount of movement before and after the coordinate data does not match the entire movement direction, it is determined that abnormal coordinates occur suddenly, and the data before and after the coordinates determined to be abnormal is predicted. A coordinate correction method comprising: obtaining an accurate coordinate by calculating a middle point from the coordinates and replacing the abnormal coordinate with the abnormal coordinate.