JP2014067285A - Handwriting input device, handwriting input program, and control method for handwriting input device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To realize at least either followability of handwriting input or smoothness of a drawing line.SOLUTION: A handwriting input device 1 that generates handwriting input data for displaying a drawing line on the basis of a plurality of sample points obtained by sampling handwriting input comprises a correction data generation unit (24) that, in accordance with a change in the magnitude of a vector indicating displacement between the sample points, calculates a weighted average of the vector to generate a correction vector.

Description

  The present invention relates to a handwriting input device that performs drawing by handwriting input, a handwriting input program, and a control method for a handwriting input device.

  Conventionally, a handwriting input technique using a tablet input device or a touch panel input device is known. In such a handwriting input technique, for example, the coordinates of a locus input by handwriting are sampled and detected, and the handwriting input locus is displayed based on the detected coordinates. In the field of such handwriting input technology, the following proposal has been made as a technology for correcting a drawn line to obtain smoothness of drawing and accuracy of a locus.

  Patent Document 1 discloses a technique for setting the number of detected coordinate samples according to the input range of handwriting input, or a technique for calculating a drawing curve by performing an operation by the least square method based on the detected coordinates obtained by sampling. Is disclosed.

  Japanese Patent Application Laid-Open No. 2004-151867 discloses a technique for performing coordinate data acquisition a plurality of times and outputting a coordinate value obtained by averaging the acquired coordinate data, and a technique for changing the average number of coordinate data according to the drawing speed of the input person. Is disclosed.

  In Patent Literature 3, every time the latest coordinate is detected, the latest coordinate and the coordinate detected in the process one time before the latest coordinate detection process correspond to the distance between two points respectively indicated. Thus, a technique for setting a sampling interval for coordinate detection is disclosed.

  As a technique for smoothing an existing image and reducing or removing noise included in the image, an averaging filter, a Gaussian filter, and the like are known.

JP-A-8-179874 (published July 12, 1996) JP-A-9-34629 (published February 7, 1997) JP 2000-10721 (released on January 14, 2000)

  However, since the conventional technology as described above merely ensures the smoothness of drawing and the response responsiveness by changing the number of samples or changing the sample interval, the corrected drawing curve represents past input data. Can be affected. That is, in the prior art, the influence of the change in the displacement of the handwriting input from the past to the present is not considered.

  For this reason, a desired result may not be obtained in terms of drawing followability or drawing smoothness due to the influence of past input data.

  For example, simply calculating the average of input coordinates simply causes the influence of past input data to appear uniformly in the correction value. Therefore, when the speed of handwriting input changes suddenly, the followability of the drawing curve decreases with respect to the actual handwriting input.

  Further, for example, in a portion where the handwriting input is greatly curved, the straightness of the past data is strong and appears in the correction value, so that a large difference occurs between the actual handwriting input data and the correction value.

  The present invention has been made in view of the above problems, and its object is to appropriately change the weight used for correcting the displacement of the sample points in accordance with the input state of the handwriting input, thereby making it possible to follow the handwriting input. An object of the present invention is to realize a handwriting input device capable of at least one of improvement and smoothing.

  In order to solve the above problems, a handwriting input device according to one aspect of the present invention generates handwriting input data for line drawing based on a plurality of sample points obtained by sampling handwriting input. In the handwriting input device, the handwriting input data is obtained by correcting the displacement of the sample point using the weighting according to the old and new of the displacement of the sample point according to the change of the derived value obtained from the displacement of the sample point. A correction means for generating is provided.

  In order to solve the above problems, a handwriting input program according to one aspect of the present invention generates handwriting input data for line drawing display based on a plurality of sample points obtained by sampling handwriting input. This is a handwriting input program that corrects the displacement of the sample point using a weighting according to the old and new of the displacement of the sample point according to the change in the derived value obtained from the displacement of the sample point. A computer executes a correction step for generating data.

  In order to solve the above-described problem, a control method for a handwriting input device according to one aspect of the present invention is based on a plurality of sample points obtained by sampling handwriting input, In the control method of the handwriting input device that generates data, according to the change of the derived value obtained from the displacement of the sample point, the displacement of the sample point is corrected by using the weight according to the old and new of the displacement of the sample point. A correction step for generating the handwriting input data.

  According to one aspect of the present invention, the weight used for correcting the displacement of the sample points is appropriately changed according to the input state of handwriting input, thereby improving at least one of smoothing and smoothing of handwriting input. There is an effect that can be achieved.

It is a functional block diagram shown about an example of a functional structure of the handwriting input device which concerns on Embodiment 1 of this invention. It is a figure shown about the case where the user performs the handwriting input in the horizontal direction from left to right on the display screen of the touchscreen display part with which the said handwriting input apparatus is provided. It is a flowchart shown about an example of the flow of a correction process of the handwriting input data in the said handwriting input apparatus. It is a functional block diagram shown about an example of a functional structure of the handwriting input device which concerns on Embodiment 2 of this invention. In the display screen of the touch panel display unit included in the handwriting input device, the handwriting input direction is changed after the user performs handwriting input horizontally from left to right. It is a figure explaining angle calculation. It is a figure explaining the method of calculating the angle average of two vectors. It is a figure explaining calculation of the correction angle by weighting. It is a flowchart shown about an example of the flow of a correction process of the handwriting input data in the said handwriting input apparatus. It is a functional block diagram shown about an example of a functional structure of the handwriting input device which concerns on Embodiment 3 of this invention. It is a figure explaining the method of correct | amending a vector so that the rate of change of the angle of a vector may become fixed, and obtaining a smooth drawing curve. It is a flowchart shown about an example of the flow of a correction process of the handwriting input data in the said handwriting input apparatus.

Embodiment 1
Hereinafter, it will be as follows if one Embodiment of this invention is described using FIGS. 1-3.

  First, the configuration of a handwriting input device 1 according to an embodiment of the present invention will be described with reference to FIG. FIG. 1 is a functional block diagram illustrating an example of a functional configuration of the handwriting input device 1. The handwriting input device 1 shown in FIG. 1 receives an operation by handwriting input from a user, generates handwriting input data in which the received handwriting input is corrected, and outputs corrected handwriting input data. The handwriting input device 1 is, for example, a device including a touch panel input device such as a tablet terminal or a high-functional mobile phone such as a smartphone.

  The handwriting input device 1 adjusts the followability of drawing with respect to handwriting input and the smoothness of drawing according to a change in the speed of handwriting input.

  As shown in FIG. 1, the handwriting input device 1 is configured to include a storage unit 10, a control unit 20, and a touch panel display unit 30.

  The storage unit 10 stores various data, display contents, and programs. The control unit 20 controls the various functions of the electronic device 1 in an integrated manner. For example, the control unit 20 controls display processing in the touch panel display unit 30 and information processing according to the touch operation. Details of the storage unit 10 and the control unit 20 will be described later.

  The touch panel display unit 30 includes an operation unit 31 that receives a contact operation from a user and a display unit 32 that performs screen display. The operation unit 31 and the display unit 32 are illustratively stacked in the order of the operation unit 31 and the display unit 32 as viewed from the user, and the display screen is displayed while the user visually recognizes the display screen of the display unit 32. A touch operation can be performed on the touch panel.

  The operation unit 31 detects a user's contact operation on the display screen of the display unit 32, generates operation data regarding the contact operation, and supplies the generated operation data to the control unit 20. The operation data may include the contact operation position, the direction of the contact operation, acceleration, strength, and the like.

  Hereinafter, for the sake of explanation, it is assumed that operation data is generated by detecting a handwriting input operation (such as handwriting input of characters or curves) on the touch panel display unit 30 (operation unit 31). The operation data generated by detecting the handwriting input operation is referred to as handwriting input data.

  There is no restriction | limiting in particular in the detection method of handwritten input operation, Arbitrary detection methods can be used. The operation unit 31 supports not only a touch operation with a user's finger but also a contact operation using an input instrument M such as a stylus or a touch pen.

  Specific methods for the operation unit 31 to detect the contact operation position include, for example, a matrix switch, a resistive film method, a surface acoustic wave method, an infrared method, an electromagnetic induction method, a capacitance method, and an image of an object. A method of detecting (light sensor method) and the like. However, the present invention is not limited to this, and various methods can be appropriately applied to the method for detecting the contact operation position. Note that the method for detecting the contact operation position described above includes a method for detecting not only “contact” but also “proximity”. However, in the following, for convenience of explanation, only “contact” is described without distinguishing between “contact” and “proximity”.

  In addition, the operation unit 31 detects a contact operation at a predetermined interval and generates the handwriting input data. Details of the handwriting input data will be described later.

  The display unit 32 has a display screen for displaying image data, receives image data from the control unit 20, and displays an image on the display screen based on the received image data. The display unit 32 can be realized by, for example, an LCD (Liquid Crystal Display), a PDP (Plasma Display Panel), an EL (Electroluminescence) display, or the like.

(Details of storage unit)
Next, details of the storage unit 10 will be described with continued reference to FIG. As shown in FIG. 1, the storage unit 10 includes a sample point history information storage unit 11, a speed threshold storage unit 12, a weight storage unit 13, and a correction data history information storage unit 14.

  The sample point history information storage unit 11 stores handwritten input data. Specifically, the handwriting input data includes sample points obtained by sampling touch operations on the touch panel display unit 30. Therefore, the sample point history information storage unit 11 stores sample points obtained by sampling for each time series.

  The sample point may be expressed by, for example, a coordinate value indicating an operation position on the touch panel display unit 30 (for example, a two-dimensional coordinate composed of an X coordinate and a Y coordinate).

  Note that the handwriting input data may include a vector indicating the displacement from the previous sample point in addition to the sample point. The handwriting input data may include a vector size and an angle. The vector angle may be expressed by an angle between a reference direction (for example, the X-axis direction of the coordinate system of the display screen) and the vector direction.

  The speed threshold storage unit 12 stores a threshold value for comparison with the amount of change in the speed of handwriting input detected by the touch panel display unit 30 and / or the rate of change.

  The weight storage unit 13 stores information on weights used for correcting handwritten input data. Note that the weight information stored in the weight storage unit 13 may be a value for weighting itself or a calculation formula for deriving a value for weighting.

  The corrected data history information storage unit 14 stores corrected handwriting input data, that is, correction data. The correction data includes a correction value of a sample point constituting the handwriting input data, and a correction value (correction vector) of a vector indicating the displacement of the sample point. Therefore, the correction data history information storage unit 14 stores the sample point and vector correction values for each time series.

(Details of control unit)
Next, details of the control unit 20 will be described with further reference to FIG. As illustrated in FIG. 1, the control unit 20 includes a sample point acquisition unit 21, a speed condition determination unit 22, a weight setting unit 23, a correction data generation unit 24, and a drawing unit 25.

  The sample point acquisition unit 21 acquires a sample point by controlling a touch operation detection process (that is, a sampling process) at a predetermined interval in the touch panel display unit 30. Specifically, the sample point acquisition unit 21 instructs the operation unit 31 of the touch panel display unit 30 to detect contact operation at predetermined intervals, acquires handwriting input data from the operation unit 31, A sample point is acquired based on the input data. In other words, the sample point acquisition unit 21 acquires a plurality of sample points obtained by sampling handwriting input performed on the touch panel display unit 30.

  The sample point acquisition unit 21 calculates a vector (displacement) between the sample points. The vector calculation process performed by the sample point acquisition unit 21 will be described with reference to FIG. FIG. 2 shows a case where the user performs handwriting input in the horizontal direction from left to right on the display screen of the touch panel display unit 30.

Assume that sample points are acquired in the order of P ₀ , P ₁ , P ₂ , and P ₃ as shown in “original data” in FIG. At this time, the sample point acquisition unit 21 obtains a vector v ₀ indicating a displacement from P ₀ to P ₁ based on P ₀ and P ₁ . Similarly, the sample point acquiring unit 21 obtains a vector _{v 1} from _{P 1} and _{P 2,} obtaining the vector _{v 2} from _{P 2} and _{P 3.}

In FIG. 2, P ₃ is the latest sample point, the vector v ₂ is the latest vector (hereinafter, the latest called vector).

  The sample point acquisition unit 21 supplies the sample point obtained by sampling, the vector obtained based on the sample point, the magnitude and angle of the vector to the speed condition determination unit 22, and stores the sample point history information. Store in unit 11.

  The speed condition determination unit 22 determines whether or not the change amount or change rate of the handwriting input speed on the touch panel display unit 30 is equal to or greater than a threshold value. The speed condition determination unit 22 can acquire the threshold value from the speed threshold value storage unit 12.

  The speed of handwriting input can be obtained based on the distance between sample points (namely, the magnitude of a vector) in sampling of handwriting input on the touch panel display unit 30. For example, the speed condition determination unit 22 can obtain the size of the vector stored in the sample point history information storage unit 11 and obtain the speed of handwriting input.

  Further, the speed condition determination unit 22 may determine, for example, the change in the speed of handwriting input based on (1) the size of the latest vector and the size of the vector obtained before the latest vector. However, (2) it may be obtained based on the size of the latest vector and the size of the correction vector obtained by past correction.

  For example, the speed condition determination unit 22 may obtain a change based on (1) the size of the latest vector and the size of the vector immediately before the latest vector, or (2) the size of the latest vector and the latest vector. The handwriting input speed may be obtained based on the magnitude of the correction vector obtained by the correction immediately before the vector is acquired.

  In the following description, the vector immediately before the latest vector and the correction vector immediately before the latest vector may be collectively referred to as a past vector.

  The weight setting unit 23 sets a weight value for correcting the handwriting input data according to a change in the speed of handwriting input. Although details will be described later, the correction of the handwriting input data is illustratively performed by weighted addition of the latest vector and the immediately preceding correction vector. Therefore, the weight setting unit 23 sets a weight value for the latest vector and a weight value for the immediately preceding correction vector.

  The weight setting unit 23 may make the weight value for the latest vector the same as the weight value for the immediately preceding correction vector.

  The weight setting unit 23 may make the weight value for the latest vector larger than the weight value for the immediately preceding correction vector. In this case, the followability of handwriting input can be improved.

  Further, the weight setting unit 23 may make the weight value for the latest vector smaller than the weight value for the immediately preceding correction vector. In this case, the smoothness of the curve drawn in the result of handwriting input can be improved.

  For this reason, the weight value set by the weight setting unit 23 can be appropriately increased or decreased depending on how the drawn line is to be expressed.

  For example, the weight setting unit 23 can set the weight value as follows.

  [Setting 1] When the handwriting input speed is rapidly increased, the weight value is increased when it is desired to improve the followability corresponding to the change.

  [Setting 2] When the handwriting input speed is rapidly increased, the weight value is decreased in order to improve the smoothness of the curve corresponding to the change.

  [Setting 3] When the handwriting input speed is suddenly decreased, the weight value is increased in order to improve the follow-up performance in response to the change.

  [Setting 4] When the handwriting input speed is abruptly decreased, the weight value is decreased in order to improve the smoothness of the curve corresponding to the change.

  [Setting 5] If the handwriting input speed does not change so much, the weight values are made equal.

  The correction data generation unit 24 generates correction data by correcting the handwriting input data using the weight value set by the weight setting unit 23. Then, the correction data generation unit 24 supplies the correction vector as correction data to the drawing unit 25 and stores the correction data in the correction data history information storage unit 14. Details of the correction in the correction data generation unit 24 will be described later.

  The drawing unit 25 generates image data indicating a handwriting input result based on the correction data supplied from the correction data generation unit 24, and supplies the generated image data to the display unit 32.

(Details of correction of handwritten input data)
A specific example of the correction of handwriting input data in the correction data generation unit 24 will be described with reference to FIG.

  In FIG. 2, the “original data” of the handwriting input data in the handwriting input device 1, the correction vector when the “original data” is corrected with a constant weight, and the “original data” An example of a correction vector when it is corrected by changing is shown.

“Original data” is handwritten input data before correction composed of sampled sample points P ₀ , P ₁ , P ₂ , and P ₃ as described above.

The magnitude of the vector v ₀ between P ₀ P ₁ and the magnitude of the vector v ₁ between P ₁ P ₂ are substantially the same. On the other hand, the magnitude of the vector v ₂ between P ₂ P ₃ is significantly larger than the magnitude of the vector v ₁ between P ₀ P ₁ or the vector v ₀ between P ₁ P ₂ .

  As described above, the correction data generation unit 24 calculates the weighted sum (weighted average) of the latest sample point, the latest vector indicating the displacement of the sample point immediately before the latest sample point, and the correction vector indicating the previous displacement. ) To generate a correction vector. The “correction value with the weight changed” indicates a case where the correction value is generated by the weighted average.

  On the other hand, “correction value with constant weight” indicates a case where a correction vector is generated by calculating an arithmetic average (that is, a weighted sum with constant weight) between the latest displacement and the previous displacement. ing.

  Hereinafter, each of “a correction value with a constant weight” and “a correction value with a changed weight” will be described in more detail.

[Correction value with constant weight]
The “correction value with a constant weight” shown in FIG. 2 will be described as follows. First, the vector _{v 0} is the same as the correction vector v _'0.

Next, the correction vector v _'1 vector _{v 1} is the vector _{v 1,} obtained by the arithmetic mean of the previous correction vector v' _0. Since the vector _{v 1} and the correction vector v _'0 are substantially the same, the correction vector v' ₁ is the vector _{v 0,} which is the same as the vector _{v 1} and the correction vector v _'0.

Subsequently, the correction vector v _'2 vector _{v 2} is obtained by the arithmetic mean of the vector _{v 2,} and the correction vector v' ₁ immediately before. This arithmetic average can be obtained by, for example, v ′ ₂ = 0.5 v ₂ +0.5 v ′ ₁ . The present invention is not limited to the above, and a moving average calculation formula using past vectors from the latest vector to a predetermined past sample point may be used.

Vector _{v 2} is much larger than the immediately preceding correction vector v _'1. However, a vector v _2, since the correction vector v _'1 immediately before being summed by the same weighting, the correction vector v' ₂ obtained by summing appears greatly affected by the vector v _2. Thus the magnitude of the correction vector v _'2 is significantly smaller than the magnitude of the vector v _2.

  In the case of “[Setting 5] If the handwriting input speed does not change so much, the weight values are equalized.”, The weight setting unit 23 may set a uniform weight as described above. .

[Correction value with changing weight]
The “correction value with the weight changed” will be described as follows. The correction of the handwriting input data described below is performed by increasing the weight value when it is desired to improve the followability to the change when the above-mentioned “[Setting 1] handwriting input speed suddenly increases. Corresponds to "Yes."

  Specifically, the correction data generation unit 24 obtains a correction vector by calculating a weighted sum of the latest vector and the previous correction vector using the weight set by the weight setting unit 23. This weighted sum can be expressed by the following equation (A).

v ′ _n = αv _n + (1−α) v ′ _n−1 (A)
In the above formula (A), v _'n the latest correction vector, _{v n} is the most recent vector, _{v' n-1} is the correction vector of the immediately preceding the latest correction vector. Α represents a weight value set by the weight setting unit 23.

  The formula (A) is not limited to the above formula (A), and a weighted moving average calculation formula using a past vector from the latest vector to a predetermined past sample point may be used.

The “correction value with the weight changed” shown in FIG. 2 will be described as follows. First, the vector _{v 0,} the vector _{v 1,} the correction vector V'' _0, it is assumed that the same to each other with the correction vector v'' _1.

The correction vector V'' ₂ is determined by a weighted average of the vector _{v 2,} and the correction vector v _'1 immediately before. This weighted average can be obtained, for example, by the weight setting unit 23 setting the weight value α in the above formula (A) as α> 0.5.

Since the vector v ₂ is significantly larger than the immediately preceding correction vector v ′ ₁ , while the weight value (α) applied to the vector v ₂ (v _n ; n = 2) in the above equation (A) is increased, The weight value (1-α) applied to the immediately preceding correction vector v ′ ₁ (v ′ _n−1 ; n = 2) is reduced.

Thus, the correction vector V'' ₂ is subjected to correction vector v ₂ is greatly reflected.

Since the correction value P ″ ₃ obtained from the correction vector obtained by this weighted average has a smaller difference from the sample point P ₃ than the correction value P ′ ₃ obtained from the correction vector obtained by the arithmetic mean, Input with good followability can be obtained.

(Process flow)
Next, the flow of correction processing of handwriting input data in the handwriting input device 1 will be described with reference to FIG. FIG. 3 is a flowchart illustrating an example of a flow of correction processing of handwriting input data in the handwriting input device 1.

  As shown in FIG. 3, when the touch panel display unit 30 accepts handwriting input (S11), the sample point acquisition unit 21 acquires handwriting input data by the handwriting input (S12). That is, the sample point acquisition unit 21 acquires the latest vector obtained by sampling.

  Next, the speed condition determination unit 22 calculates a change amount or a change rate of the handwriting input speed (S13). Specifically, the speed condition determination unit 22 calculates a change amount or a change rate of the speed between the past vector (a vector indicating the displacement of the original data or a vector indicating the corrected displacement) and the latest vector (S13). ).

  Furthermore, the speed condition determination unit 22 determines whether the change amount or the change rate is equal to or greater than a threshold value (S14). If the displacement is equal to or greater than the threshold value (YES in S14), the weight setting unit 23 calculates the weight and sets the weight value for generating correction data (S15). That is, the weight setting unit 23 sets the weight calculated according to the latest vector used for correction and the immediately preceding correction vector as the weight value.

  On the other hand, when the displacement is less than the threshold (NO in S14), the weight setting unit 23 sets a constant weight as a weight value for each displacement (S16).

  Next, the correction data generation unit 24 generates correction data using the weight value set in S15 or S16 (S17).

(More detailed explanation on weighting)
Below, the more detailed description regarding the weighting in the handwriting input device 1 is described below.

[Conditions for changing weights]
In the above description, in S13 and S14, the speed condition determination unit 22 has been described as using the threshold for the speed change amount or the threshold for the speed change rate for the determination. These threshold values will be described in detail below.

[Set threshold for speed change]
When a threshold is set for the amount of change in speed, it can be set as follows.

[1] and the constant a that is set in advance, calculates the difference between the magnitude of the most recent vector V _n, it may be changed weights when satisfying condition concerning following threshold X to (B-1) .

_{| V n | -a> X ···} (B-1)
In the above formula (B-1), | V _n | represents the magnitude of the vector.

  [2] Also, the difference between the size of the latest vector and the size of the past vector is calculated, and the weight is changed when the following conditional expression (B-2) or (B-3) regarding the threshold value X is satisfied. Also good.

| V _n | − | V _n−1 |> X (B-2)
Or
| V _n | − | V ′ _{n −1} |> X (B-3)
[Set threshold for speed change rate]
When a threshold is set for the rate of change in speed, the rate of change between the size of the latest vector and the size of the past vector is calculated as follows, and the conditional expressions (B-4) to (B-4) to ( The weight may be changed when any of B-7) is satisfied.

| V _n | / | V _n-1 |> X (B-4)
Or
| V _n | / | V ′ _{n −1} |> X (B-5)
Or
_{(| V n | - | V} n-1 |) / | V n-1 |> X ··· (B-6)
Or
(| V _n | − | V ′ _{n −1} |) / | V ′ _{n −1} |> X (B-7)
The conditional expressions (B-1) to (B-7) may be used in combination.

[How to set weight value]
When the “condition for changing the weight” is satisfied, the weight setting unit 23 can set the weight value in S15 as follows, for example.

[Set a preset constant value as the weight value]
[1] Using constant value β When | V _n | − | V _n−1 |> X is satisfied, a preset constant value β can be set as the weight value α.

[2] A weight value table is prepared in advance, and when the above “condition for changing the weight” is satisfied, the value of the weight value table is referred to according to the amount of change in speed or the speed, [2-1] The weight value table is set in advance as β [3] = {0.6, 0.7, 0.8}. Then, the weight value α is set as follows according to the amount of change in speed and the threshold value _Xn .

When X ₀ <| V _n | − | V _n−1 | <X ₁ is satisfied, β [0] = {0.6} is set as the weight value α.

When X ₁ <| V _n | − | V _n−1 | <X ₂ is satisfied, β [1] = {0.7} is set as the weight value α.

When X ₂ <| V _n | − | V _n−1 | <X ₃ is satisfied, β [2] = {0.8} is set as the weight value α.

However, the present invention is not limited to the above, and a weight value may be set based on the rate of change in speed and the threshold value _Xn . That is, in the _{above, |} V n | - | _{instead, | V n-1 (|} V n | - | V n-1 |) / | V n-1 | , may be employed.

[2-2] The weight value table is set in advance as [3] = {0.6, 0.7, 0.8}. Then, the weight value α is set as follows according to the magnitude of the speed and the threshold value _Xn .

When X ₀ <| V _n | <X ₁ is satisfied, β [0] = {0.6} is set as the weight value α.

When X ₁ <| V _n | <X ₂ is satisfied, β [1] = {0.7} is set as the weight value α.

When X ₂ <| V _n | <X ₃ is satisfied, β [2] = {0.8} is set as the weight value α.

[Set the variable value obtained from the speed change etc. as the weight value]
The weight value α may be set by applying the rate of change of speed or the magnitude of the speed to a predetermined calculation formula.

[1] The latest weight value is α _n , the immediately preceding weight value is α _n−1 , a constant b is set in advance, and the weight value α _n is set according to the following equation (C-1).

α _n = (| V _n | − | V _n−1 |) × b + α _n−1 (C-1)
In the above formula _{(C-1), | V} n-1 | is, | may be used | _V'n-1.

    [2] The latest weight value is α, a constant b is set in advance, and the weight value α is set according to the following equation (C-2).

α = | V _n | × b (C-2)
[Embodiment 2]
Hereinafter, it will be as follows if other embodiment of this invention is described using FIGS.

  First, the configuration of a handwriting input device 1A according to another embodiment of the present invention will be described with reference to FIG. FIG. 4 is a functional block diagram illustrating an example of a functional configuration of the handwriting input device 1A. The handwriting input device 1A shown in FIG. 4 receives an operation by handwriting input from a user, generates handwriting input data in which the received handwriting input is corrected, and outputs the corrected handwriting input data. The handwriting input device 1A is, for example, a device including a touch panel input device such as a tablet terminal or a high-function mobile phone such as a smartphone.

  The handwriting input device 1 </ b> A adjusts the drawing followability to the handwriting input and the smoothness of the drawing according to a change in the angle of the handwriting input.

  As illustrated in FIG. 4, the handwriting input device 1 </ b> A is configured to include a storage unit 10, a control unit 20, and a touch panel display unit 30.

  The storage unit 10 stores various data, display contents, and programs. The control unit 20 controls the various functions of the electronic device 1 in an integrated manner. For example, the control unit 20 controls display processing in the touch panel display unit 30 and information processing according to the touch operation. Details of the storage unit 10 and the control unit 20 will be described later.

  The touch panel display unit 30 includes an operation unit 31 that receives a contact operation from a user and a display unit 32 that performs screen display. The operation unit 31 and the display unit 32 are illustratively stacked in the order of the operation unit 31 and the display unit 32 as viewed from the user, and the display screen is displayed while the user visually recognizes the display screen of the display unit 32. A touch operation can be performed on the touch panel.

  The operation unit 31 detects a user's contact operation on the display screen of the display unit 32, generates operation data regarding the contact operation, and supplies the generated operation data to the control unit 20. The operation data may include the contact operation position, the direction of the contact operation, acceleration, strength, and the like.

  Hereinafter, for the sake of explanation, it is assumed that operation data is generated by detecting a handwriting input operation (such as handwriting input of characters or curves) on the touch panel display unit 30 (operation unit 31). The operation data generated by detecting the handwriting input operation is referred to as handwriting input data.

  There is no restriction | limiting in particular in the detection method of handwritten input operation, Arbitrary detection methods can be used. The operation unit 31 supports not only a touch operation with a user's finger but also a contact operation using an input instrument M such as a stylus or a touch pen.

  Specific methods for the operation unit 31 to detect the contact operation position include, for example, a matrix switch, a resistive film method, a surface acoustic wave method, an infrared method, an electromagnetic induction method, a capacitance method, and an image of an object. A method of detecting (light sensor method) and the like. However, the present invention is not limited to this, and various methods can be appropriately applied to the method for detecting the contact operation position. Note that the method for detecting the contact operation position described above includes a method for detecting not only “contact” but also “proximity”. However, in the following, for convenience of explanation, only “contact” is described without distinguishing between “contact” and “proximity”.

  In addition, the operation unit 31 detects a contact operation at a predetermined interval and generates the handwriting input data. Details of the handwriting input data will be described later.

  The display unit 32 has a display screen for displaying image data, receives image data from the control unit 20, and displays an image on the display screen based on the received image data. The display unit 32 can be realized by, for example, an LCD (Liquid Crystal Display), a PDP (Plasma Display Panel), an EL (Electroluminescence) display, or the like.

(Details of storage unit)
Next, details of the storage unit 10 will be described with continued reference to FIG. As shown in FIG. 4, the storage unit 10 includes a sample point history information storage unit 11, an angle threshold storage unit 12 </ b> A, a weight storage unit 13, and a correction data history information storage unit 14.

  The sample point history information storage unit 11 stores handwritten input data. Specifically, the handwriting input data includes sample points obtained by sampling touch operations on the touch panel display unit 30. Therefore, the sample point history information storage unit 11 stores sample points obtained by sampling for each time series.

  The sample point may be expressed by, for example, a coordinate value indicating an operation position on the touch panel display unit 30 (for example, a two-dimensional coordinate composed of an X coordinate and a Y coordinate).

  Note that the handwriting input data may include a vector indicating the displacement from the previous sample point in addition to the sample point. The handwriting input data may include a vector size and an angle. The vector angle may be expressed by an angle between a reference direction (for example, the X-axis direction of the coordinate system of the display screen) and the vector direction.

  The angle threshold value storage unit 12A stores a threshold value for comparison with the amount of change in the angle of handwriting input detected by the touch panel display unit 30 and / or the rate of change.

  The weight storage unit 13 stores information on weights used for correcting handwritten input data. Note that the weight information stored in the weight storage unit 13 may be a value for weighting itself or a calculation formula for deriving a value for weighting.

  The corrected data history information storage unit 14 stores corrected handwriting input data, that is, correction data. The correction data includes a correction value of a sample point constituting the handwriting input data, and a correction value (correction vector) of a vector indicating the displacement of the sample point. Therefore, the correction data history information storage unit 14 stores the sample point and vector correction values for each time series.

(Details of control unit)
Next, details of the control unit 20 will be described with further reference to FIG. As shown in FIG. 4, the control unit 20 includes a sample point acquisition unit 21, an angle condition determination unit 22A, a weight setting unit 23A, a correction data generation unit 24A, and a drawing unit 25.

  The sample point acquisition unit 21 acquires a sample point by controlling a touch operation detection process (that is, a sampling process) at a predetermined interval in the touch panel display unit 30. Specifically, the sample point acquisition unit 21 instructs the operation unit 31 of the touch panel display unit 30 to detect contact operation at predetermined intervals, acquires handwriting input data from the operation unit 31, A sample point is acquired based on the input data. In other words, the sample point acquisition unit 21 acquires a plurality of sample points obtained by sampling handwriting input performed on the touch panel display unit 30.

  The sample point acquisition unit 21 calculates a vector (displacement) between the sample points. The vector calculation process performed by the sample point acquisition unit 21 will be described with reference to FIG. FIG. 5 shows a case where the handwriting input direction is changed after the user performs handwriting input horizontally from left to right on the display screen of the touch panel display unit 30.

Assume that sample points are acquired in the order of P ₀ , P ₁ , P ₂ , P ₃ , and P ₄ as shown in “original data” in FIG. At this time, the sample point acquisition unit 21 obtains vectors v ₀ , v ₁ , v ₂ , and v ₃ corresponding to P ₀ P ₁ , P ₁ P ₂ , P ₂ P ₃ , and P ₃ P ₄ , respectively.

In FIG. 5, a P ₄ is the latest sample point, the vector v ₃ is the latest vector.

  The sample point acquisition unit 21 supplies the sample point obtained by sampling, the vector obtained based on the sample point, the magnitude and angle of the vector to the angle condition determination unit 22A, and stores the sample point history information. Store in unit 11.

  The angle condition determination unit 22A determines whether or not the change amount or change rate of the handwriting input angle on the touch panel display unit 30 is equal to or greater than a threshold value. The angle condition determination unit 22A can acquire the threshold value from the angle threshold value storage unit 12A.

  The angle condition determination unit 22A can obtain the angle of the vector stored in the sample point history information storage unit 11 to obtain the handwriting input angle.

  Further, the angle condition determination unit 22A may determine, for example, the change in the angle of handwriting input based on (1) the angle of the latest vector and the angle of the vector obtained before the latest vector. Then, (2) it may be obtained based on the angle of the latest vector and the angle of the correction vector obtained by past correction.

  For example, the angle condition determination unit 22A may obtain a change based on (1) the angle of the latest vector and the angle of the vector immediately before the latest vector, or (2) the angle of the latest vector and the latest vector The handwriting input angle may be obtained based on the angle of the correction vector obtained by the correction immediately before the vector is acquired.

  The weight setting unit 23A sets a weight value for correcting the handwriting input data. Although details will be described later, the correction of the handwriting input data is executed by, for example, weighted addition of the angle of the latest vector and the angle of the immediately preceding correction vector. Therefore, the weight setting unit 23A sets a weight value for the latest vector and a weight value for the immediately preceding correction vector.

  Note that “vector” may be used instead of “vector angle” for correction of handwritten input data. That is, the handwriting input data may be corrected by weighted addition of the latest vector and the immediately preceding correction vector. The same applies to the following.

  The weight setting unit 23 may make the weight value for the angle of the latest vector the same as the weight value for the angle of the previous correction vector.

  The weight setting unit 23A may make the weight value for the angle of the latest vector larger than the weight value for the angle of the previous correction vector. In this case, the followability of handwriting input can be improved.

  Further, the weight setting unit 23A may make the weight value for the angle of the latest vector smaller than the weight value for the angle of the previous correction vector. In this case, the smoothness of the curve drawn in the result of handwriting input can be improved.

  For this reason, the weight value set by the weight setting unit 23A can be appropriately increased or decreased depending on how the drawn line is to be expressed.

  For example, the weight setting unit 23A can set the weight value as follows.

  [Setting A] When the angle formed by the vector is greatly changed (the angle is reduced or increased), the weight value is increased in order to improve the follow-up performance corresponding to the change.

  [Setting B] When the angle formed by the vector changes greatly (when the angle becomes smaller or larger), if you want to improve the smoothness of the curve in response to the change, decrease the weight value. .

  [Setting C] If the angles formed by the vectors do not change so much, the weight values are made equal.

  The correction data generation unit 24A generates correction data by correcting the handwriting input data using the weight value set by the weight setting unit 23A. Further, the correction data generation unit 24 supplies the correction vector as correction data to the drawing unit 25 and stores the correction data in the correction data history information storage unit 14. Details of the operation in the correction data generation unit 24A will be described later.

  The drawing unit 25 generates image data indicating a handwriting input result based on the correction data supplied from the correction data generation unit 24, and supplies the generated image data to the display unit 32.

(Details of correction of handwritten input data)
Hereinafter, the correction in the correction data generation unit 24A will be specifically described. Specifically, the correction data generation unit 24A calculates a correction angle using the weight value set by the weight setting unit 23A and corrects the latest vector to obtain a correction vector.

  The outline of correction of handwriting input data in the correction data generation unit 24A will be described with reference to FIG.

Sample points P ₀ , P ₁ , P ₂ , P ₃ , and P ₄ shown in FIG. 5 are “original data” of handwritten input data, and indicate sample points obtained by sampling.

FIG. 5 also shows vectors v ₀ , v ₁ , v ₂ , and v ₃ indicating displacements between the sample points of P ₀ P ₁ , P ₁ P ₂ , P ₂ P ₃ , and P ₃ P _4. ing. The size of each vector is substantially the same. Note that the directions of the vectors v ₀ and v ₁ are used as the angle reference (that is, the angle “0 °”).

As shown in FIG. 5, during P ₀ P _{1 and} between P ₁ P ₂ , handwriting is input in the horizontal direction from left to right. Thereafter, the handwriting input direction changes greatly between P ₂ P ₃ and P ₃ P ₄ .

P ′ ₃ and P ′ ₄ represent “correction values with constant weights”. Between P _{2 P'3,} a vector indicating a displacement between _{P'3 P'4,} respectively show _V'2, and _V'3.

P ″ ₃ and P ″ ₄ indicate “correction values obtained by changing the weight”. Between P ₂ P'' _3, a vector indicating a displacement between _P'' 3 _{P'' 4,} respectively show _V'' 2, and V'' _3.

Since there is no angle change over the sample points _P 0 to P _2, the vector _v 0, _{v 1} and the correction value _{v'0, v'1 (v'' 0} , v'' 1) is the same .

  Each of “correction value with constant weight” and “correction value with changed weight” obtained in such a case will be described.

[Correction value with constant weight]
Angle correction vector v _'2 vector v ₂ is obtained by the arithmetic mean of the angle of the vector v _2, and the correction vector v' ₁ angle immediately before. That is, the angle of the correction vector v ′ ₂ can be obtained by uniform weighting between the angle of the vector v _{2 and} the angle of the previous correction vector v ′ ₁ . Note that the present invention is not limited to the above, and a moving average calculation formula that uses the angle of the past vector from the angle of the latest vector to a predetermined sample point in the past may be used.

In FIG. 5, the angle greatly changes in the vector v ₂ , but since the correction vector v ′ ₁ is the angle “0 °”, the correction vector v ′ ₂ is greatly affected by the correction vector v ′ ₁ . The same applies to the correction vector v ′ ₃ .

As a result, the sample points _P 3, _{P 4} and the correction value _P'3, occurs a large difference between the _P'4.

  Note that, in the case of ““ Setting C] If the angle formed by the vectors does not change so much, the weight values are equalized ”, the weight setting unit 23A may set a uniform weight as described above. .

[Correction value with changing weight]
The correction of the handwritten input data described below follows in accordance with the change when the angle formed by the “[Setting A] vector mentioned above changes greatly (the angle becomes smaller or becomes larger). If you want to improve performance, increase the weight value. "

Angle correction vector V'' ₂ vector _{v 2} is obtained by a weighted average of the angle of the vector _{v 2,} and the correction vector V'' ₁ angle immediately before. It performs a greater weighting than the angle of the correction vector V'' ₁ with respect to the angle of the most recent vector v ₂ at this point. Therefore, the angle of the correction vector V'' _2, the angle change of the vector v ₂ is greatly reflected. The same applies to the angle of the correction vector v ″ ₃ .

As a result, correction values P ″ ₃ and P ″ ₄ are obtained, which have better followability and a smoother curve than the “correction value with a constant weight”.

  Next, a method for calculating the correction value and the correction angle in the correction data generation unit 24A will be specifically described.

[Correction angle calculation 1]
The correction data generation unit 24A may calculate the correction angle by calculating the weighted sum of the angles of the latest vector and the previous correction vector using the weight set by the weight setting unit 23. This weighted sum can be expressed by the following equation (C).

θ ′ _n = αθ _n + (1-α) θ ′ _n−1 (C)
In the above formula (C), [theta] & apos _n is corrected angle, theta _n, the angle latest vector, [theta] & apos _n is the angle of the latest correction vector. Α indicates a weight value.

  In addition, although the correction data generation part 24A demonstrated the method using said Formula (C), it is not restricted to this. The correction data generation unit 24 is not limited to the above formula (C), and may use a weighted moving average calculation formula that uses a vector angle from the latest vector angle to a predetermined past sample point.

  Further, there are different expressions for the angles even if they indicate the same angle. For example, −10 ° and 350 ° indicate the same angle although the expression method is different. For this reason, the following adjustment processing may be performed in the angle calculation.

As shown in FIG. 6, it is assumed that the user performs handwriting input in the order of P ₀ , P ₁ , and P ₂ . Here, when θ ₁ = 30 ° and θ ₂ = −30 °, the difference in angle is θ ₂ −θ ₁ = −60 °, and the magnitude of the change in angle is 60 °.

However, when expressed as θ ₂ = 330 °, θ ₂ −θ ₁ = 300 °. Therefore, when the calculation result of the angle difference exceeds 180 °, the angle may be adjusted by subtracting 360 ° from the calculation result.

For example, in the case of “θ ₂ −θ ₁ = 300 °”, 300 ° −360 ° = −60 ° may be adjusted.

  In addition, what is necessary is just to add 360 degrees to a calculation result, when a calculation result is less than -180 degrees.

[Correction angle calculation 2]
The correction data generation unit 24A uses the weight set by the weight setting unit 23 to calculate the weighted sum of the sine or cosine of the angle of the latest vector and the sine or cosine of the angle of the immediately previous correction vector. Thus, the correction angle may be calculated.

  Here, before describing the calculation of the correction angle by weighting, a method for obtaining the average angle of two vectors will be described with reference to FIG.

As described above, there are different expressions for the angle even if they indicate the same angle. As illustrated in FIG. 7, the vector V ₁ of the angle theta _1, if there is a vector V ₂ of the angle theta _2, is as follows (Note, | · | denotes the magnitude of the vector).

First, if the angle expression is θ ₁ = 45 ° and θ ₂ = −45 °, the average is (θ ₁ + θ ₂ ) / 2 = (45 ° + (− 45 °)) / 2 = 0 °. Become. On the other hand, if the angle expression is θ ₁ = 45 ° and θ ₂ = 315 °, the average is (θ ₁ + θ ₂ ) / 2 = (45 ° + (315 °)) / 2 = 300 °. It becomes.

Therefore, the average angle between the vector V ₁ and the vector V ₂ can be obtained by obtaining the angle of the vector (cos (θ ₁ ) + cos (θ ₂ ), sin (θ ₁ ) + sin (θ ₂ )).

When X = cos (θ ₁ ) + cos (θ ₂ ) and Y = sin (θ ₁ ) + sin (θ ₂ ), the average angle can be obtained by calculating the following formulas (1) and (2). .

  When the above formulas (1) and (2) are applied to the example shown in FIG. 7, as shown in the following formula (3),

  Thus, a desired average value “0” can be obtained.

Next, calculation of the correction angle by weighting will be described with reference to FIG. 8 in consideration of the above average angle calculation method. P ′ _n−3 , P ′ _n−2 , and P ′ _n−1 illustrated in FIG. 8 are sample points after correction. Further, in FIG. 8 is a vector after correction illustrating the displacement from _P'n-3 to _P'n-2 correction vector _V'n-2, and, _P'n-1 from the _P'n-2 A corrected vector V ′ _n−1 that is a corrected vector indicating the displacement to is shown.

  That is, in the example shown in FIG. 8, correction values are calculated up to the (n-1) th sample point.

Here, correction of the latest sample point P _n (that is, correction of the latest vector V _n indicating the displacement from the corrected sample point P ′ _n−1 to the latest sample point P _n ) will be described below. The latest vector V _n is the same size as the correction vector V ′ _{n −1} (| V ′ _{n −1} | = | V _n |).

Correction data generating unit 24A calculates a vector _V'n after correction latest vector _{V n} on the basis of the latest vector _{V n} and the correction vector _V'n-1.

More specifically, in the case of the above average angle calculation method, the weight value α is applied to the vector derived when the average angle is obtained. That is, if the angle of the correction vector (X, Y) = (αcos (θ _n ) + (1-α) cos (θ ′ _n−1 ), α sin (θ _n ) + sin (θ ′ _n−1 )) is obtained. The angle to which weighting is applied can be calculated. Incidentally, the theta _n, the angle of the most recent vector _{V n, θ'n-1} is the angle correction vector _V'n-1.

Therefore, the corrected angle θ ′ _n can be obtained by the following mathematical formula (4).

To summarize the above description, the correction data generation unit 24A has an angle between −180 ° and 180 °, such as θ _n = 45 ° and θ ′ _n−1 = −45 °. The correction value may be obtained by the following equation (D).

θ ′ _n = αθ _n + (1-α) θ ′ _n−1 (D)
In addition, when the angle is an expression between 0 ° and 360 °, such as θ _n = 45 ° and θ ′ _n−1 = 315 °, the correction data generation unit 24A uses the following formula (5). What is necessary is just to obtain | require a correction value.

(Process flow)
Next, the flow of correction processing of handwriting input data in the handwriting input device 1A will be described with reference to FIG. FIG. 9 is a flowchart illustrating an example of a flow of correction processing of handwriting input data in the handwriting input device 1A.

  As shown in FIG. 9, when the touch panel display unit 30 accepts handwriting input (S21), the sample point acquisition unit 21 acquires handwriting input data by the handwriting input (S22). That is, the sample point acquisition unit 21 acquires the latest vector obtained by sampling.

  Next, the angle condition determination unit 22A calculates the change amount or change rate of the handwriting input angle (S23). Specifically, the angle condition determination unit 22A calculates the change amount or change rate of the angle between the past vector (the vector indicating the displacement of the original data or the vector indicating the corrected displacement) and the latest vector (S23). ).

  Furthermore, the angle condition determination unit 22A determines whether the change amount or the change rate is equal to or greater than a threshold value (S24). If the displacement is equal to or greater than the threshold (YES in S24), the weight setting unit 23A calculates the weight and sets it to a weight value for generating correction data (S25). That is, the weight setting unit 23A sets the weight calculated according to the latest vector used for correction and the previous correction vector as the weight value.

  On the other hand, when the displacement is less than the threshold (NO in S24), the weight setting unit 23A sets a constant weight as a weight value for each displacement (S26).

  Next, the correction data generation unit 24A generates correction data using the weight value set in S25 or S26 (S27).

(More detailed explanation on weighting)
Below, the more detailed description regarding the weighting in the handwriting input device 1A is described below.

[Conditions for changing weights]
In the above description, in S23 and S24, it has been described that the angle condition determination unit 22A uses the threshold value for the change amount of the angle or the threshold value for the change rate of the angle, but these threshold values will be described in detail below.

In the following, | · | represents taking an absolute value. The absolute value of the angle difference (for example, | θ ₂ −θ ₁ |) is a value obtained by subtracting 360 ° from the calculation result when θ ₂ −θ ₁ exceeds 180 °. When the calculation result is less than −180 °, an absolute value is assumed with respect to the value obtained by adding 360 ° to the calculation result.

[Set threshold for angle change]
When a threshold value is set for the amount of change in angle, it can be set as follows.

[1] and the constant a that is set in advance, calculates the difference between the angle theta _n most recent vector V _n, so as to change the weight if it meets the condition (E-1) relates to the following threshold X Also good.

| Θ _n −a |> X (E-1)
[2] Also, the difference between the angle of the latest vector and the angle of the past vector is calculated, and the weight is changed when the following conditional expression (E-2) or (E-3) regarding the threshold value X is satisfied. Also good.

| Θ _n −θ _n−1 |> X (E-2)
Or
| Θ _n −θ ′ _n−1 |> X (E-3)
[Set threshold for angle change rate]
When a threshold is set for the angle change rate, the change rate between the angle of the latest vector and the angle of the past vector is calculated as follows, and conditional expressions (E-4) and (E The weight may be changed when any one of E-5) is satisfied.

(| Θ _n | − | θ _n−1 |) / | θ _n−1 |> X (E-4)
Or
(| Θ _n | − | θ ′ _n−1 |) / | θ ′ _n−1 |> X (E-5)
The conditional expressions (E-1) to (E-5) may be used in combination.

[How to set weight value]
When the “condition for changing the weight” is satisfied, the weight setting unit 23A can set the weight value in S25 as follows, for example.

[Set a preset constant value as the weight value]
[1] Using constant value β When | θ _n −θ _n−1 |> X is satisfied, a preset constant value β can be set as the weight value α.

[2] A weight value table is prepared in advance, and when the “condition for changing the weight” is satisfied, the value of the weight value table is referred to according to the amount of change in angle or the size of the angle, [2-1] The weight value table is set in advance as β [3] = {0.6, 0.7, 0.8}. Then, the weight value α is set as follows according to the change amount of the angle and the threshold value _Xn .

When X ₀ <| θ _n −θ _n−1 | <X ₁ is satisfied, β [0] = {0.6} is set as the weight value α.

When X ₁ <| θ _n −θ _n−1 | <X ₂ is satisfied, β [1] = {0.7} is set as the weight value α.

When X ₂ <| θ _n −θ _n−1 | <X ₃ is satisfied, β [2] = {0.8} is set as the weight value α.

[2-2] The weight value table is set in advance as [3] = {0.6, 0.7, 0.8}. The weight value α is set as follows according to the change rate of the angle and the threshold value _Xn .

_{X 0 <| (θ n -θ'} n-1) / θ'n-1 | < When satisfying _{X 1,} sets a β [0] = {0.6} as a weight value alpha.

_{X 1 <| (θ n -θ'} n-1) / θ'n-1 | < When satisfying _{X 2,} sets the β [1] = {0.7} as a weight value alpha.

_{X 2 <| (θ n -θ'} n-1) / θ'n-1 | < When satisfying _{X 3,} sets the β [2] = {0.8} as a weight value alpha.

[Variable value obtained from angle change etc. is set as weight value]
The weight value α may be set by applying the angle change amount or the angle change rate to a predetermined calculation formula.

[1] The latest weight value is α _n , the previous weight value is α _n−1 , a constant b is set in advance, and the weight value α _n is set according to the following formula (F-1).

α _n = (| θ _n −θ _n−1 |) × b + α _n−1 (F-1)
[2] The latest weight value is α, a constant b is set in advance, and the weight value α is set according to the following equation (F-2).

α = | (θ _n −θ _n−1 ) / θ _n−1 | × b (F-2)
The above formula (F-1) and the (F-2), the theta _n-1, it may be used _θ'n-1.

[Embodiment 3]
Hereinafter, still another embodiment of the present invention will be described with reference to FIGS. For convenience of explanation, members having the same functions as those described in the second embodiment are denoted by the same reference numerals and description thereof is omitted.

  First, the configuration of a handwriting input device 1B, which is still another embodiment of the present invention, will be described with reference to FIG. FIG. 10 is a functional block diagram illustrating an example of a functional configuration of the handwriting input device 1B.

  The handwriting input device 1A corrects the handwriting input data so that the change in the angle of handwriting input is within a predetermined range (for example, constant).

  Differences between the handwriting input device 1B shown in FIG. 10 and the handwriting input device 1A shown in FIG. 4 will be described as follows.

  The handwriting input device 1B shown in FIG. 10 is the same as the handwriting input device 1A shown in FIG. First, in the storage unit 10 of the handwriting input device 1A, the designated change rate storage unit 15 is added, and the angle threshold storage unit 12A and the weight storage unit 13 are omitted. Further, in the control unit 20 of the handwriting input device 1A, a change rate designation determination unit 26, an angle calculation unit 27, and a change rate designation unit 28 are added, and the correction data generation unit 24A is changed to a correction data generation unit 24B. Further, the angle condition determination unit 22A and the weight setting unit 23A are omitted.

  Hereinafter, the designated change rate storage unit 15, the change rate designation determination unit 26, the angle calculation unit 27, and the correction data generation unit 24B that are added / changed in the handwriting input device 1A will be described.

(Additional configuration of storage unit)
The designated change rate storage unit 15 is set with a designated value indicating the allowable range of the change rate of the handwriting input angle. The specified value may indicate a predetermined range or may be a constant value. In the following, it is assumed that the designated value indicates the rate of change of the angle formed by the immediately preceding correction vector and the latest vector, but is not limited thereto. The designated value may designate the rate of change of the angle of the latest vector with respect to the angle of the previous correction vector.

(Control unit addition / change configuration)
The change rate designation determination unit 26 determines whether a specified value is set in the specified change rate storage unit 15 and notifies the angle calculation unit 27 of the determination result.

  The angle calculation unit 27 calculates the angle of the vector. Moreover, the angle calculation part 27 calculates the correction angle according to a designated value, when the designated value is set.

  The correction data generation unit 24B corrects the handwriting input data according to the correction angle calculated by the angle calculation unit 27.

  The change rate specifying unit 28 sets a specified value of the change rate in the specified change rate storage unit 15. The change rate designating unit 28 may set a designated value according to the user's operation on the operation unit 31 or the like, or may be set according to an application executed in the control unit 20.

(Details of correction of handwritten input data)
Hereinafter, the correction in the correction data generation unit 24B will be described more specifically. Using FIG. 11, a method for correcting a vector so that the rate of change in the angle of the vector becomes constant and obtaining a smooth drawing curve will be exemplarily described. A constant value is set as a specified value in the specified change rate storage unit 15.

As shown in FIG. 11, sample points Q ₀ , Q ₁ , Q ₂ , Q ₃ , and Q ₄ are “original data” of handwritten input data, and indicate sample points obtained by sampling.

FIG. 11 also shows vectors r ₀ , r ₁ , r ₂ , and r ₃ indicating displacements between the sample points of Q ₀ Q ₁ , Q ₁ Q ₂ , Q ₂ Q ₃ , and Q ₃ Q _4. Show. The size of each vector is substantially the same.

A vector r ₀ indicates a displacement from left to right in the horizontal direction. Here, the direction of the vector r ₀ is used as a reference. That is, the angle of the vector r ₀ is “0”. The angle of the vector r ₁ is θ ₁ . Therefore, the angle of the vector r ₀ and the vector r ₁ is θ ₁ .

  Accordingly, in the subsequent sampling, if the angle between the vectors is constant, that is, if the rate of change of the angle between the vectors is 0, a smooth curve can be drawn.

Here, as illustrated, the angle theta ₂ formed by the vector _{r 2} and the vector _{r 1} at the sample point _{Q 3} is next to the sampling of the sample points _{Q 2} is not the theta ₁ (in FIG. 11, θ _2> θ ₁ Therefore, the rate of change of the angle formed by the vector does not become zero. Therefore, to draw a smooth curve to the rate of change of the angle formed between vectors to 0, the angle calculation unit 27 calculates the correction angle, the correction data generation unit 24B corrects the vector r _2, based on the correction angle .

The angle calculator 27 calculates, for example, the correction angle θ ′ ₂ = θ ₁ . At this time, the angle formed by the vector r ₀ and the vector r ₂ as the angle reference is 2 × θ ₁ .

Correction data generation unit 24B calculates the correction vector _r'2 obtained by correcting the vector _{r 2.} The correction vector r ′ ₂ has an angle θ ″ ₂ = θ ′ ₂ + θ ₁ = 2 × θ ₁ with respect to the reference angle.

Subsequently, the angle formed by the vector r ₃ and the vector r ′ ₂ at the sample point Q ₄ sampled next to the sample point Q ₃ is not θ ₁ .

The angle calculation unit 27 calculates the correction angle θ ′ ₃ . The correction data generation unit 24B generates a correction vector r ′ ₃ based on the correction angle θ ′ ₃ . The correction vector r ′ ₃ has an angle θ ″ ₃ = θ ′ ₃ + θ ″ ₂ = 3 × θ ₁ with respect to the reference angle.

(Process flow)
Next, the flow of correction processing of handwriting input data in the handwriting input device 1B will be described using FIG. FIG. 12 is a flowchart illustrating an example of a flow of correction processing of handwriting input data in the handwriting input device 1B.

    As shown in FIG. 12, when the touch panel display unit 30 accepts handwriting input (S31), the sample point acquisition unit 21 acquires handwriting input data by the handwriting input (S32). That is, the sample point acquisition unit 21 acquires the latest vector obtained by sampling. Further, the sample point acquisition unit 21 calculates the angle of the latest vector (S33).

  Next, the change rate designation determination unit 26 determines whether or not a change rate is designated (S34). That is, the change rate designation determination unit 26 determines whether or not a specified value is set. If the designated value is not set (NO in S34), the process ends.

  On the other hand, when the specified value is set (YES in S35), the angle calculation unit 27 determines the angle formed by the immediately preceding correction vector and the correction vector of the latest vector based on the change rate indicated by the specified value. Is calculated as a correction angle (S36).

  Next, the correction data generation unit 24B determines a correction value using the correction angle calculated by the angle calculation unit 27 (S37). For example, the correction data generation unit 24B generates a correction vector of the latest vector using the correction angle and the immediately preceding correction vector (S37).

[Summary]
A handwriting input device according to an aspect of the present invention is a handwriting input device that generates handwriting input data for line drawing display based on a plurality of sample points obtained by sampling handwriting input. Correction means for generating the handwritten input data by correcting the displacement of the sample point using a weight according to the new and old of the displacement of the sample point according to the change of the derived value obtained from the displacement of 24, 24A).

  From another viewpoint, the handwriting input device according to an aspect of the present invention is a handwriting generating device for generating handwriting input data for line drawing based on a plurality of sample points obtained by sampling handwriting input. In the document input device, in response to a change in the derived value obtained from the displacement of the sample point, the latest sampling is performed with respect to the displacement between the correction target sample point and the latest sample point sampled immediately before the correction target sample point. Correction means for generating the handwritten input data by correcting the displacement of the sample point to be corrected using a weight larger than the weight for the displacement of the sample point before the point.

  A handwriting input program according to an aspect of the present invention is a handwriting input program that generates handwriting input data for line drawing display based on a plurality of sample points obtained by sampling handwriting input, A correction step for generating the above-mentioned handwritten input data by correcting the displacement of the sample point using the weighting according to the old and new of the displacement of the sample point according to the change of the derived value obtained from the displacement of the sample point is performed on the computer. Let it run.

  A control method for a handwriting input device according to an aspect of the present invention includes a handwriting input device that generates handwriting input data for line drawing display based on a plurality of sample points obtained by sampling handwriting input. In the control method, according to the change in the derived value obtained from the displacement of the sample point, the correction for generating the handwritten input data by correcting the displacement of the sample point using the weighting according to the old and new of the displacement of the sample point Includes steps.

  The handwriting input device is illustratively a tablet input device that accepts input by a stylus or a touch panel input device that includes a touch panel that accepts handwriting input.

  The sample point indicates an input position for handwriting input, and can be expressed by, for example, two-dimensional coordinates, that is, X coordinates and Y coordinates.

  The displacement of the sample point is a change in position between a sample point and the next (previous) sample point of the sample point. The displacement of the sample point can be expressed by a vector from one sample point to another sample point, for example. The sampling interval for sampling the sample points can be set arbitrarily. The handwriting input data is line drawing data used for displaying the handwriting input result.

  The derived value obtained from the displacement of the sample point may be the speed and speed of handwriting input. The derived value may be, for example, a distance between sample points, or a speed or acceleration of handwriting input between sample points.

  The derived value may be an angle formed by the direction of displacement. The reference for measuring the angle of displacement can be arbitrarily set. For example, it is possible to define the angle between the direction of displacement and the X-axis direction with the X-axis as a reference for measuring the angle. The derived value may be angular velocity or angular acceleration.

  It is not limited to the above, and the derived value may be related to the displacement of the sample point.

  According to the above configuration, the displacement of the sample point can be corrected using the weighting according to the new or old of the displacement of the sample point in accordance with the change of the derived value obtained from the displacement of the sample point.

  Further, the change in the derived value may be a change amount in the displacement speed. The change in the derived value may be the amount of change in the angle of displacement or the rate of change in angle.

  The weighting according to the old and new displacement of the sample point means, for example, that a larger weight is applied as the sample point is newer and a smaller weight is applied as the sample point is older. Conversely, a smaller weight may be applied as the sample point is newer, and a larger weight may be applied as the sample point is older. The correction may be performed every time a sample point is detected. The weighting setting method may apply a preset constant value or a variable value set according to a change in the derived value.

  According to the above configuration, when the change in the derived value increases, the newer the sample point, the larger the weighting is used to correct the displacement of the sample point, thereby improving the followability of the drawn line by handwriting input, The newer the is, the smaller the weighting is used to correct the displacement of the sample points, and the handwritten input can be made smoother.

  As described above, according to the above configuration, the weight used for correcting the displacement of the sample point is appropriately changed according to the input state of handwriting input, thereby improving the followability of handwriting input and at least smoothing. There is an effect that either one can be achieved.

  The handwriting input device may be realized by a computer. In this case, the handwriting input program for realizing the operation of the correcting means in the handwriting input device by the computer, and a computer recording the same A readable recording medium falls within the scope of the present invention.

  According to the above control program, the handwriting input device can be realized on the computer by realizing the above means on the computer. Further, according to the recording medium, the control program read from the recording medium can be realized on a general-purpose computer.

  Furthermore, in the handwriting input device according to one aspect of the present invention, the derived value obtained from the displacement of the sample point may be based on the magnitude of the displacement of the sample point.

  According to the above configuration, the derived value is based on the magnitude of the displacement of the sample point. The thing based on the magnitude | size of the displacement of the said sample point may be the speed of the displacement which can be calculated from the magnitude | size of a displacement and a sample space | interval, for example.

Thus, for _example, P 0, _{P 1,} and if there are three sample points _{P 2,} the change in the derived value _is a velocity _{v 0} between P 0 _{P 1,} the speed _{v 1} between P 1 _{P 2} Or the rate of change between the speed v ₀ and the speed v ₁ .

  According to the above configuration, when the speed changes greatly between sample points, it is possible to improve at least one of the followability of handwriting input and smoothing.

  Furthermore, in the handwriting input device according to an aspect of the present invention, the correction unit uses a larger weight for the displacement of a newer sample point when the change in the derived value becomes larger than a predetermined threshold value. Correction may be performed.

  According to the above configuration, when the change in the derived value based on the magnitude of the displacement of the sample point becomes large, correction using a larger weight is performed on the displacement of the newer sample point. The sample point displacement may be relative to the latest sample point.

  For this reason, when the speed of handwriting input is increased, correction using a larger weight is performed for the displacement of a newer sample point.

  Therefore, a correction value close to newer input data can be calculated in consideration of past data, thereby enabling drawing with good followability.

  Further, in the handwriting input device according to one aspect of the present invention, the correction unit may apply a greater weight to the displacement of a newer sample point when a change in the derived value that has become larger than the threshold value becomes smaller. Correction may be performed using.

  According to the above configuration, when the speed of handwriting input is increased and then the speed is decreased, correction using a larger weight is performed for the displacement of a newer sample point.

  Therefore, the followability can be maintained before and after the speed change.

  Further, in the handwriting input device according to one aspect of the present invention, the correction unit may apply a smaller weight to a new sample point displacement when a change in the derived value that is greater than the threshold value is small. Correction may be performed using.

  According to the above configuration, when the speed of handwriting input is increased and then the speed is decreased, correction using a smaller weight is performed for the displacement of a newer sample point.

  Therefore, the drawing can be smoothed before and after the speed change.

  Furthermore, in the handwriting input device according to one aspect of the present invention, the correction unit is configured to detect a displacement between a latest sample point and a sample point immediately before the latest sample point, and a sample point before that. Correction using a weighted average with the displacement obtained by the correction may be performed.

  According to the above configuration, correction can be performed using the latest displacement and the previous displacement correction value.

This correction can be expressed by, for example, an expression “V ′ _n = αV _n + (1−α) V ′ _n−1 ”. Here, V ′ _n represents the displacement after correction by the target correction. V ′ _n−1 indicates a displacement obtained by the correction immediately before the target correction. V _n represents the displacement before correction. Α represents a weighting coefficient.

  In this way, since only the latest displacement and the previous displacement correction value need be used, a predetermined number of displacements are stored, and a weighted moving average that uses the stored predetermined number of displacements for calculation is corrected. It requires less storage space than using it.

  Therefore, accurate correction can be performed relatively easily.

  The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is also included in the technical scope of the present invention.

[Example of software implementation]
Finally, each block of the handwriting input device 1, particularly each unit of the control unit 20, may be realized in hardware by a logic circuit formed on an integrated circuit (IC chip), or may be a CPU (Central Processing Unit). ) May be implemented in software.

  In the latter case, the handwriting input device 1 includes a CPU that executes instructions of a program that realizes each function, a ROM (Read Only Memory) that stores the program, a RAM (Random Access Memory) that expands the program, and the program And a storage device (recording medium) such as a memory for storing various data. An object of the present invention is a recording medium in which a program code (execution format program, intermediate code program, source program) of a control program of the handwriting input device 1 which is software for realizing the above-described functions is recorded so as to be readable by a computer. Can also be achieved by reading the program code recorded on the recording medium and executing it by the computer (or CPU or MPU).

  Examples of the recording medium include non-transitory tangible medium, such as magnetic tape and cassette tape, magnetic disk such as floppy (registered trademark) disk / hard disk, and CD-ROM / MO. Discs including optical discs such as / MD / DVD / CD-R, cards such as IC cards (including memory cards) / optical cards, semiconductor memories such as mask ROM / EPROM / EEPROM (registered trademark) / flash ROM Alternatively, logic circuits such as PLD (Programmable Logic Device) and FPGA (Field Programmable Gate Array) can be used.

  The handwriting input device 1 may be configured to be connectable to a communication network, and the program code may be supplied via the communication network. The communication network is not particularly limited as long as it can transmit the program code. For example, the Internet, intranet, extranet, LAN, ISDN, VAN, CATV communication network, virtual private network, telephone line network, mobile communication network, satellite communication network, and the like can be used. The transmission medium constituting the communication network may be any medium that can transmit the program code, and is not limited to a specific configuration or type. For example, even with wired lines such as IEEE 1394, USB, power line carrier, cable TV line, telephone line, ADSL (Asymmetric Digital Subscriber Line) line, infrared rays such as IrDA and remote control, Bluetooth (registered trademark), IEEE 802.11 wireless, HDR ( It can also be used by radio such as High Data Rate (NFC), Near Field Communication (NFC), Digital Living Network Alliance (DLNA), mobile phone network, satellite line, and digital terrestrial network. The present invention can also be realized in the form of a computer data signal embedded in a carrier wave in which the program code is embodied by electronic transmission.

  INDUSTRIAL APPLICABILITY The present invention can be used for an apparatus including a touch panel input device such as a tablet terminal or a high-functional mobile phone such as a smartphone.

1, 1A, 1B Handwriting input device 10 Storage unit 11 Sample point history information storage unit 12 Speed threshold storage unit 12A Angle threshold storage unit 13 Weight storage unit 14 Correction data history information storage unit 15 Designated change rate storage unit 20 Control unit 21 Sample point acquisition unit 22 Speed condition determination unit 23 Weight setting unit 24, 24A, 24B Correction data generation unit 25 Drawing unit 26 Change rate designation determination unit 27 Angle calculation unit 28 Change rate designation unit 30 Touch panel display unit 31 Operation unit 32 Display unit

Claims (8)

In a handwriting input device that generates handwriting input data for line drawing display based on a plurality of sample points obtained by sampling handwriting input,
Compensating means for generating the above-mentioned handwritten input data by correcting the displacement of the sample point using a weighting according to the new or old of the displacement of the sample point according to the change of the derived value obtained from the displacement of the sample point Handwriting input device characterized by.   The handwritten input device according to claim 1, wherein the derived value obtained from the displacement of the sample point is based on the magnitude of the displacement of the sample point.   3. The hand according to claim 2, wherein the correction means performs correction using a larger weight for the displacement of a newer sample point when the change in the derived value becomes larger than a predetermined threshold value. Input device.   4. The correction unit according to claim 3, wherein when the change of the derived value that has become larger than the threshold value becomes smaller, the correction unit performs correction using a larger weight for a displacement of a newer sample point. Handwriting input device.   The said correction | amendment means performs correction | amendment which uses smaller weight with respect to the displacement of a newer sample point, when the change of the said derived value which became larger than the said threshold value becomes small. Handwriting input device.   The correction means is a correction using a weighted average of the displacement between the latest sample point and the previous sample point of the latest sample point and the displacement obtained by the correction for the previous sample point. The handwriting input device according to any one of claims 1 to 5, wherein: A handwriting input program for generating handwriting input data for displaying strokes based on a plurality of sample points obtained by sampling handwriting input,
A correction step for generating the above-mentioned handwritten input data by correcting the displacement of the sample point using the weighting according to the old and new of the displacement of the sample point according to the change of the derived value obtained from the displacement of the sample point is performed on the computer. A handwriting input program characterized by being executed. In a control method of a handwriting input device that generates handwriting input data for drawing a line based on a plurality of sample points obtained by sampling handwriting input,
Including a correction step of generating the above-mentioned handwritten input data by correcting the displacement of the sample point using a weighting according to the new and old of the displacement of the sample point according to a change in the derived value obtained from the displacement of the sample point A control method for a handwriting input device.

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