JP2017120591A - Input device, coordinates calculation method, and coordinates calculation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an input device capable of accurately inputting coordinates of a plurality of objects based on positions and movement on an operation surface of the objects, and to provide a coordinates calculation method and a coordinates calculation program.SOLUTION: An input device 100 includes: a degree-of-contribution calculation part 430; an individual value calculation part 440; and a coordinates calculation part 450. The degree-of-contribution calculation part 430 calculates a degree of contribution correlated with each of at least one or more detection value acquisition coordinates for each object, based on detection data for indicating correspondence between the detection value acquisition coordinates and a detection value. The degree of contribution indicates a ratio of use in calculation of object coordinates of one object in detection values of one detection value acquisition coordinates. The individual value calculation part 440 calculates each individual value of detection value acquisition coordinates for each object, based on the degree of contribution and the detection value. The coordinates calculation part 450 calculates the object coordinates of an object to be calculated, based on an individual value of an object to be calculated.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an input device, a coordinate calculation method, and a coordinate calculation program.

  A plurality of capacitive sensor elements arranged in a matrix in the vicinity of the operation surface are installed, and the detection values of the sensor elements are acquired in association with the coordinates of the operation surface, so that the fingers and operations that trace the operation surface There is an input device that tracks the coordinates of an object such as a pen (also called an operating body). The input may be performed simultaneously with two or more fingers instead of only one finger. When input is performed with two or more fingers, it is determined which finger is used as the detection value of each sensor element. When two fingers are close to each other, for example, by the method of Patent Document 1, it is determined which finger the detected value of each sensor element is an input of.

JP 2012-43395 A

  However, when the operation with the finger A and the finger B is performed in the position detection of the operation body that operates on the capacitive operation surface, the finger A among the detection values (capacitance values) at the point X on the operation surface. If the detected value component and the detected value component by the finger B are not separated, the positions of the finger A and the finger B calculated based on the detected value are between the actual finger A position and the actual finger B position. Therefore, there is a disadvantage that the actual positions of the finger A and the finger B may not coincide with each other.

  The present invention has been made in view of such circumstances, the purpose of which is to accurately input the input device based on the position and movement of the object on the operation surface by accurately calculating the coordinates of a plurality of objects, A coordinate calculation method and a coordinate calculation program are provided.

  The present invention provides a sensor that generates a detection value indicating the degree of approach between an operation surface and an object at each of a plurality of detection positions on the operation surface, and a detection that indicates the coordinates of each of the plurality of detection positions from which the detection values are acquired. Based on detection data representing the correspondence between the value acquisition coordinates and the detection values of each of the plurality of detection positions, an object information acquisition unit that acquires the presence and number of objects close to the operation surface, and the detection data A contribution calculation unit that calculates a contribution degree associated with each of one or more detection value acquisition coordinates for each object, and an individual value associated with each of the one or more detection value acquisition coordinates for each object An individual value calculation unit that calculates the coordinates of the object, and a coordinate calculation unit that calculates an object coordinate indicating the coordinates of the object. The contribution degree of one object in one detection value acquisition coordinate is the detection of one detection value acquisition coordinate. Calculate the object coordinates of one of the values The individual value calculation unit indicates the individual value of one object in one detection value acquisition coordinate, the contribution degree of one object in one detection value acquisition coordinate, and one detection value acquisition coordinate. The coordinate calculation unit calculates the object coordinates of the object to be calculated based on the individual values of the object to be calculated.

  According to this configuration, since the object coordinates of a plurality of objects are calculated using individual values generated from the detection values in consideration of the degree of contribution, the detection value of one detection value acquisition coordinate is set to any one of the detection values. Compared to the case where the object coordinates are used only for calculating the object coordinates, the coordinates of a plurality of objects can be calculated more accurately, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  Preferably, the input device of the present invention further includes an object information acquisition unit that acquires the object coordinates of one or more objects based on the detection data before the contribution calculation unit calculates the contribution.

  Preferably, in the input device according to the present invention, when the contribution degree calculation unit calculates the contribution degree of two or more objects in one target coordinate among the plurality of detection value acquisition coordinates, the target coordinate and the two or more object coordinates are calculated. The degree of contribution is calculated based on the distance of the object to each of the object coordinates.

  According to this configuration, the degree of influence of the positional relationship between the objects can be reflected in the detected value of the target coordinate in one target coordinate. As a result, the coordinates of a plurality of objects can be accurately calculated, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  Preferably, in the input device of the present invention, when the contribution calculation unit calculates the contribution of two or more objects in the target coordinates, the contribution of the object corresponding to the object coordinates close to the target coordinates is calculated from the target coordinates. The contribution is calculated so as to be equal to or greater than the contribution of the object corresponding to the distant object coordinates.

  According to this configuration, in one target coordinate, an object closer to the target coordinate has a higher contribution, so the contribution can reflect the degree of influence of each object on the detection value of the target coordinate. As a result, the coordinates of a plurality of objects can be accurately calculated, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  Preferably, in the input device of the present invention, when the contribution degree calculation unit calculates the contribution degree of one target object among two or more objects in the target coordinates, the distance 2 between the target coordinates and the object coordinates is calculated. The value obtained by dividing the reciprocal of the square of the distance between the object coordinate of the target object and the target coordinate by the value obtained by adding the reciprocal of the power to all the object coordinates is defined as the contribution.

  According to this configuration, the contribution is determined by the ratio of the reciprocal of the square of the distance. According to this configuration, the individual value of the object far from the target coordinate can be reduced compared to the case where the contribution is determined by the ratio of the reciprocal of the first power of the distance. Thus, it is possible to input accurately based on the position and movement of the object on the operation surface. Also, if the contribution is determined by the reciprocal ratio of the cube of the distance or more, the individual value of the object far from the target coordinate becomes too small, and the object far from the target coordinate hardly contributes to the target coordinate. The coordinates of a nearby object cannot be calculated accurately. In the two-dimensional coordinate system, the square root of the value obtained by adding the square of the difference between the components of the two coordinates is obtained. Accordingly, in the process of actually calculating the contribution degree, the calculation for obtaining the square root in the distance calculation and the square calculation in the contribution degree calculation can be omitted, so that the entire processing can be speeded up.

  Preferably, in the input device of the present invention, the contribution calculation unit updates the contribution using the object coordinates calculated by the coordinate calculation unit, and the individual value calculation unit uses the updated contribution. The individual value is updated, and the coordinate calculation unit updates the object coordinates using the updated individual value.

  According to this configuration, since the object coordinates are updated using the calculated object coordinates, the object coordinates can be easily converged to accurate coordinates. As a result, the coordinates of a plurality of objects can be calculated more accurately, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  Preferably, the input device of the present invention stops the update of the object coordinates when the distance between the object coordinates before the update in the coordinate calculation unit and the object coordinates after the update in the coordinate calculation unit is within a predetermined value. A stop part is further provided.

  According to this configuration, the update of the object coordinates is stopped when the distance between the object coordinates before and after the update is within a predetermined value. As a result, it is possible to save processing time when processing is continued despite the fact that the object coordinates are not greatly updated, so that the object coordinates can be calculated with desired accuracy in a short time.

  Preferably, the input device of the present invention further includes a stop unit that stops updating the object coordinates when the object coordinates are updated a predetermined number of times in the coordinate calculation unit.

  According to this configuration, the object coordinates are calculated in a desired time by limiting the number of updates of the object coordinates.

  Preferably, in the input device of the present invention, the object information acquisition unit discriminates as an object when there is a detection value that takes a maximum value exceeding a predetermined threshold in the detection data.

  According to this configuration, only a maximum value having a certain height can be determined as an object, and a maximum value due to noise is not erroneously recognized as an object.

  Preferably, in the input device of the present invention, the object information acquisition unit acquires, as the object coordinates, detection value acquisition coordinates at which the detection value is maximum in the detection data.

  According to this configuration, provisional object coordinates for calculating the contribution can be set before calculating the contribution.

  Preferably, in the input device of the present invention, the coordinate calculation unit calculates the object coordinates using only individual values of a plurality of detected value acquisition coordinates whose distance from the object coordinates is included in a predetermined range among the individual values. To do.

  According to this configuration, the object coordinates can be calculated at high speed by limiting the detection value acquisition coordinates used.

  Preferably, the input device of the present invention further includes a mask setting unit that sets a mask value indicating whether or not non-contribution is made for each object for each detection value acquisition coordinate, and the contribution calculation unit has one detection When the mask value of one object in the value acquisition coordinates indicates non-contribution, the contribution degree of one object in one detection value acquisition coordinate is calculated as 0.

  According to this configuration, since the mask value is set before calculating the contribution degree, the calculation time of the contribution degree in the detection value acquisition coordinates set to the non-contribution is shortened, and the calculation time of the entire contribution degree is reduced. It can be shortened. For example, when a certain object does not contribute much to the generation of the detected value of the detected value acquisition coordinates, the calculation time of the contribution can be shortened by making the mask value at the detected value acquisition coordinates by the object non-contributing. .

  Preferably, in the input device according to the present invention, the mask setting unit defines one or more regions configured by continuous detection value acquisition coordinates having a detection value equal to or greater than a predetermined value in the detection data, and is included in one region. The mask value of the object corresponding to the object coordinates to be set is set to be non-contributing in the detection value acquisition coordinates outside one area, and is set to be non-contribution in the detection value acquisition coordinates in one area.

  According to this configuration, when calculating the contribution degree of a certain object, the contribution degree of detected value acquisition coordinates having a minute detection value existing outside the area including the object coordinates corresponding to the object, and the object However, since it is possible to omit the calculation of the contribution of other regions that do not contribute much to the generation of the detection value, the calculation time of the overall contribution can be shortened.

  The present invention is a coordinate calculation method executed by an input device including a sensor that generates a detection value indicating a degree of approach between an operation surface and an object at each of a plurality of detection positions on the operation surface, and the detection value is acquired. The presence / absence and number of objects close to the operation surface are determined based on detection data representing the correspondence between detection value acquisition coordinates indicating the coordinates of each of the plurality of detection positions and detection values of the plurality of detection positions. And acquiring, for each object, a degree of contribution associated with each of the one or more detection value acquisition coordinates based on the detection data, and associating with each of the one or more detection value acquisition coordinates Calculating the individual value obtained for each object and calculating the object coordinates indicating the coordinates of the object, where the contribution of one object in one detection value acquisition coordinate is one detection value acquisition coordinate One of the detected values of The ratio used in the calculation of the object coordinates of the body indicates the individual value of one object in one detection value acquisition coordinate, the contribution of one object in one detection value acquisition coordinate, and one detection value acquisition coordinate This is a coordinate calculation method in which the object coordinates of the calculation target object are calculated based on the individual values of the calculation target object.

  The present invention is a coordinate calculation program that causes a computer to execute a coordinate calculation method.

  According to the present invention, by accurately calculating the coordinates of a plurality of objects, accurate input can be performed based on the positions and movements of the objects on the operation surface.

It is a block diagram of the input device of 1st Embodiment of this invention. It is a flowchart for demonstrating operation | movement of the input device shown in FIG. It is the example detection data produced | generated with the input device shown in FIG. 4 is exemplary distance data of the object 1 based on the detection data of FIG. 3. 4 is exemplary distance data of the object 2 based on the detection data of FIG. 3. 4 is exemplary distance data of the object 3 based on the detection data of FIG. 3. 7 is exemplary contribution data of the object 1 based on the distance data of FIGS. 7 is exemplary contribution data of the object 2 based on the distance data of FIGS. 7 is exemplary contribution data of the object 3 based on the distance data of FIGS. 8 is exemplary individual data of the object 1 based on the detection data of FIG. 3 and the contribution data of FIG. 9 is exemplary individual data of the object 2 based on the detection data of FIG. 3 and the contribution data of FIG. 10 is exemplary individual data of the object 3 based on the detection data of FIG. 3 and the contribution data of FIG. It is a figure explaining calculation of the x coordinate of an object coordinate by quadratic curve approximation. It is a figure explaining calculation of y coordinate of an object coordinate by quadratic curve approximation. The example locus | trajectory of two objects in the case of the reference example using the conventional coordinate calculation method is shown. The example locus | trajectory of two objects at the time of using the coordinate calculation method of this embodiment is shown. It is a block diagram of the input device of 2nd Embodiment of this invention. It is a figure which shows the example detection data and area | region of 2nd Embodiment. It is exemplary mask M1 of a 2nd embodiment. It is exemplary mask M2 of a 2nd embodiment. It is a flowchart for demonstrating operation | movement of the input device of 2nd Embodiment shown in FIG.

(Overall configuration of the first embodiment)
The input device according to the first embodiment of the present invention will be described below. FIG. 1 is a configuration diagram of an input device 100 according to the present embodiment. As illustrated in FIG. 1, the input device 100 includes a sensor 200, a storage device 300, and an arithmetic processing device 400. The input device 100 calculates the coordinates of an object (also referred to as an operation body) such as a finger or an operation pen that traces the operation surface of the sensor 200, and tracks the locus of the object. One or more objects may be tracked. The coordinates of the object calculated by the input device 100 are output to a vehicle control device (not shown), for example.

(Sensor)
The sensor 200 includes a plurality of drive electrodes 210 and a plurality of detection electrodes 220. The plurality of drive electrodes 210 are separated from the plurality of detection electrodes 220. The intersection position of one drive electrode 210 and one detection electrode 220 is called a detection position 230. Although only one detection position 230 is shown in FIG. 1 for the sake of simplicity, all the intersection positions of the drive electrode 210 and the detection electrode 220 can be the detection position 230.

  The sensor 200 generates a detection value indicating the degree of approach between the operation surface and the object at each of the plurality of detection positions 230. At each detection position 230, a capacitive sensor element is formed by the drive electrode 210 and the detection electrode 220. The capacitance of the sensor element at each detection position 230 changes according to the degree of proximity between the operation surface and the object. The amount of charge accumulated in the sensor element when a drive voltage is applied between the drive electrode 210 and the detection electrode 220 is acquired from the detection signal of the detection electrode 220. A change in the amount of charge accumulated at each detection position 230 corresponds to a change in the detection value. In the present embodiment, it is assumed that the detection value increases as the detection position 230 is closer to the object.

  In another example, the sensor 200 may be another type of sensor that generates a detection value indicating the degree of approach between the operation surface and the object at each of the plurality of detection positions 230. In the present embodiment, the detection positions 230 are arranged on the plane at equal intervals, and are specified by the x coordinate and the y coordinate. In another example, the detection positions 230 are not necessarily arranged at equal intervals. As long as the correspondence between the detection position 230 and the coordinates can be taken, the detection position 230 may not be aligned.

(Storage device)
The storage device 300 stores a coordinate calculation program. The coordinate calculation program is read by the arithmetic processing device 400 and causes the arithmetic processing device 400 to implement functions for performing various operations including the coordinate calculation method. When the arithmetic processing device 400 performs various functions for performing operations including the coordinate calculation method, the storage device 300 is controlled by the arithmetic processing device 400 and stores necessary information as appropriate. The storage device 300 is a non-temporary tangible storage medium, for example. The storage device 300 includes a ROM (read only memory) and a RAM (random access memory). The storage device 300 is, for example, a volatile or nonvolatile storage medium. The storage device 300 may be removable or non-removable.

(Arithmetic processing unit)
The arithmetic processing device 400 reads out and executes the coordinate calculation program stored in the storage device 300, whereby the detection data generation unit 410, the object information acquisition unit 420, the contribution calculation unit 430, the individual value calculation unit 440, the coordinate calculation Functions as the unit 450 and the stop unit 460. The arithmetic processing device 400 of the present embodiment is a general-purpose computer, but may be an application specific integrated circuit (ASIC), and other functions capable of implementing each function described in the present embodiment. It may be a circuit.

  First, the outline | summary of operation | movement of each component of the arithmetic processing unit 400 is demonstrated. A specific operation using the example will be described later in the description of the coordinate calculation method.

  The detection data generation unit 410 controls the sensor 200 to acquire a detection value at each detection position 230 and create detection data Im. The detection data Im represents a correspondence between detection value acquisition coordinates indicating the coordinates of the plurality of detection positions 230 and detection values of the plurality of detection positions 230. FIG. 3 shows exemplary detection data Im. In the detection data Im, a detection value is associated with each of 110 detection value acquisition coordinates represented by an x coordinate represented by an integer of 0 to 10 and a y coordinate represented by an integer of 0 to 11. ing. Hereinafter, the coordinates are described as (x, y).

  The arithmetic processing device 400 calculates an object coordinate representing the coordinates of one or more objects based on the detection data Im by executing an arithmetic processing program.

  The object information acquisition unit 420 detects the number of objects based on the detection data Im and calculates the object coordinates of one or more objects before the contribution calculation unit 430 calculates a contribution described later. To get and do. The object information acquisition unit 420 treats the number of detection values that are maximum values in the detection data Im as the number of objects, and sets detection value acquisition coordinates of detection values that are maximum values as object coordinates. The object information acquisition unit 420 determines whether there is an object close to the operation surface. When there is a detection value that takes a maximum value exceeding a predetermined threshold in the detection data, the object information acquisition unit 420 determines that an object exists at the detection value acquisition coordinates corresponding to the maximum value.

  The contribution degree calculation unit 430 calculates, for each object, a contribution degree associated with each of one or more detection value acquisition coordinates based on the detection data Im. The contribution degree of one object in one detection value acquisition coordinate indicates a ratio used in calculation of the object coordinate of the one object out of the detection values of the one detection value acquisition coordinate. For example, when the detected value is 50 and the contribution is 0.3 (30%), 50 × 0.3 = 15 is used for calculating the object coordinates of the one object.

  In one example, when the contribution calculation unit 430 calculates the contributions of two or more objects in one target coordinate among a plurality of detection value acquisition coordinates, each of the target coordinates and the object coordinates of the two or more objects is calculated. The contribution is calculated based on the distance between In one example, when the contribution degree calculation unit 430 calculates the contribution degree of two or more objects in one target coordinate among the plurality of detection value acquisition coordinates, the contribution degree of the object corresponding to the object coordinates close to the target coordinates. However, the contribution degree is calculated so as to be equal to or greater than the contribution degree of the object corresponding to the object coordinates far from the target coordinates. In one example, the contribution degree calculation unit 430 calculates the reciprocal of the square of the distance between the target coordinates and the object coordinates when calculating the contribution degree of one of the two or more objects in the target coordinates. A value obtained by dividing the reciprocal of the square of the distance between the object coordinates of the target object and the target coordinates is a value obtained by adding all of the above.

  The individual value calculation unit 440 calculates an individual value associated with each of one or more detection value acquisition coordinates for each object. The individual value of one object in one detection value acquisition coordinate indicates a portion used in calculation of the object coordinates of the one object among the detection values of the one detection value acquisition coordinate. The individual value of one object in the one detection value acquisition coordinate is calculated based on the contribution degree of the one object in the one detection value acquisition coordinate and the detection value of the one detection value acquisition coordinate. . In one example, the individual value calculation unit 440 calculates an individual value by multiplying the contribution degree and the detection value for each detection value acquisition coordinate. In one example, the individual value calculation unit 440 calculates the individual value so that the individual value increases as the contribution degree increases.

  The coordinate calculation unit 450 calculates object coordinates and updates the current object coordinates with the calculated object coordinates. The object coordinates of the calculation target object are calculated based on the individual values of the calculation target object. In one example, the coordinate calculation unit 450 selects a plurality of detected value acquisition coordinates whose distance from the object coordinates is included in a predetermined range as selection coordinates.

  The coordinate calculation unit 450 may calculate the object coordinates using a value obtained by squaring the individual value in each detection value acquisition coordinate as a new individual value. By squaring the individual value, the coordinates of the object can be calculated more accurately than when the individual value is used as it is, so that it can be accurately input based on the position and movement of the object on the operation surface. Can do.

  The contribution calculation unit 430 updates the contribution using the object coordinates calculated by the coordinate calculation unit 450. The individual value calculation unit 440 updates the individual value using the updated contribution degree. The coordinate calculation unit 450 updates the object coordinates using the updated individual values. The processing by the contribution calculation unit 430, the individual value calculation unit 440, and the coordinate calculation unit 450 may be repeated a plurality of times. The object coordinates calculated for the first time by the coordinate calculation unit 450 may be used as the final object coordinates. The object coordinates updated at least once by the coordinate calculation unit 450 may be used as the final object coordinates.

  In one example, when the distance between the object coordinates before update in the coordinate calculation unit 450 and the object coordinates after update in the coordinate calculation unit 450 falls within a predetermined value, the stop unit 460 stops updating the object coordinates. . In one example, the stop unit 460 stops updating the object coordinates when the object coordinates are updated a predetermined number of times in the coordinate calculation unit 450.

(Coordinate calculation method of the first embodiment)
With reference to the flowchart of FIG. 2, the coordinate calculation method of 1st Embodiment performed in the arithmetic processing unit 400 is demonstrated.

  In step 510, the object information acquisition unit 420 acquires the number of objects based on the detection data Im, and further acquires the object coordinates of each of the one or more objects.

  For example, in the detection data Im of FIG. 3, the object information acquisition unit 420 determines whether the detection value of each detection value acquisition coordinate is a maximum value while sequentially setting a plurality of detection value acquisition coordinates as a determination target. The object information acquisition unit 420 scans in order from the detection value acquisition coordinate with the smallest x among the plurality of detection value acquisition coordinates with the same y as the determination target. Scanning is repeated in the same manner while changing y from 0 to 11 one by one. The object information acquisition unit 420 determines the detection value of the determination target if the detection values of the eight detection value acquisition coordinates around the detection value acquisition coordinates of the determination target are all smaller than the detection values of the detection value acquisition coordinates of the determination target. It is determined that the detected value of the acquired coordinates is a maximum value. The surrounding detection value acquisition coordinates are detection value acquisition coordinates in which the difference between the x coordinate and the y coordinate from the detection value acquisition coordinates to be determined is 1 or 0. When the adjacent detection value acquisition coordinates are the same value, the object information acquisition unit 420 sets only the detection value acquisition coordinates previously determined as the maximum value. The object information acquisition unit 420 may acquire the object coordinates by another method.

  The number of local maxima corresponds to the number of objects. If the number of objects is n, each object is identified by expressing it as an object k using an integer k of 1 to n. In the example of FIG. 3, the coordinates (4, 2) indicated by the solid line frame 601 are set as the object coordinates of the object 1, and the coordinates (2, 4) indicated by the solid line frame 602 are set as the object coordinates of the object 2. Then, the coordinates (7, 8) indicated by the solid frame 603 are set as the object coordinates of the object 3.

  In step 520, the object information acquisition unit 420 proceeds to step 530 when the number of objects is two or more, and ends the coordinate calculation method when the number of objects is one or less.

  In step 530, the contribution calculation unit 430 selects one of the object coordinates acquired by the object information acquisition unit 420.

  In step 540, the contribution calculation unit 430 calculates the distance between the object coordinates of the object selected in step 530 and each detected value acquisition coordinate, and creates distance data of the selected object.

  For example, the contribution calculation unit 430 calculates the distance data Dk by calculating the distance between the object coordinate of the selected object k and the detection value acquisition coordinate for each detection value acquisition coordinate. FIG. 4 shows distance data D1 representing the distance between the object coordinates (4, 2) of the object 1 and each detected value acquisition coordinate. FIG. 5 is distance data D2 representing the distance between the object coordinates (2, 4) of the object 2 and each detected value acquisition coordinate. FIG. 6 is distance data D3 representing the distance between the object coordinates (7, 8) of the object 3 and each detection value acquisition coordinate.

  The distance between the object coordinates of the object 1 and some detected value acquisition coordinates will be described with reference to the distance data D1 in FIG. Since the detection value acquisition coordinates (4, 2) and the object coordinates (4, 2) match, “0” is entered in the column of the detection value acquisition coordinates (4, 2). Since the detected value acquisition coordinates (4, 1) on the upper side are separated from the object coordinates (4, 2) by a distance “1”, “1” is entered in the column of the detected value acquisition coordinates (4, 1). Has been. For other detection value acquisition coordinates, the distance is similarly calculated in the two-dimensional coordinate system.

  In step 550, the contribution degree calculation unit 430 returns to step 530 when there is an unselected object coordinate. The contribution calculating unit 430 proceeds to step 560 when there is no unselected object coordinate, that is, when distance data corresponding to all objects is created.

  In step 560, the contribution degree calculation unit 430 calculates the contribution degree associated with each of the one or more detection value acquisition coordinates for each object based on all the distance data, thereby making the contribution degree for each object. Create data. The contribution degree of one object in one detection value acquisition coordinate indicates a ratio used in calculation of the object coordinate of the one object out of the detection values of the one detection value acquisition coordinate.

In one example, the contribution R (k, x, y) due to the object k in the detection value acquisition coordinates (x, y) is calculated by Equation 1. All the distance data is put together, and the distance between the object coordinates of the object k and the detected value acquisition coordinates (x, y) is expressed as D (k, x, y). One of the plurality of detected value acquisition coordinates is set as a target coordinate for which a contribution degree is calculated. One of the plurality of objects is set as a target object whose contribution is to be calculated. The contribution is a value obtained by adding the reciprocal of the square of the distance between the target coordinates and the object coordinates for all the object coordinates and dividing the reciprocal of the square of the distance between the object coordinates of the target object and the target coordinates. . When one target coordinate is examined, the contribution of an object corresponding to an object coordinate close to the target coordinate is greater than or equal to the contribution of an object corresponding to an object coordinate far from the target coordinate.

For example, a case where the detected value acquisition coordinates (0, 1) are set as target coordinates will be described. The contribution R (1, 0, 1) due to the object 1 at the target coordinates (0, 1) is calculated as in Expression 2. Here, from the distance data D1 of FIG. 4, the distance between the target coordinates (0, 1) and the object coordinates (4, 2) of the object 1 is “4.12”. From the distance data D2 of FIG. 5, the distance between the target coordinates (0, 1) and the object coordinates (2, 4) of the object 1 is “3.61”. From the distance data D3 in FIG. 6, the distance between the target coordinates (0, 1) and the object coordinates (7, 8) of the object 3 is “9.9”. From Equation 2, the contribution R (1, 0, 1) by the object 1 at the target coordinates (0, 1) is 0.40 (40%).

  Similarly, the contribution R (2, 0, 1) due to the object 2 in the target coordinates (0, 1) is 0.53 (53%). The contribution R (3, 0, 1) due to the object 3 at the target coordinates (0, 1) is 0.07 (7%). An object closer to the target coordinate has a higher contribution in the target coordinate. The contribution to all objects is calculated using all detected value acquisition coordinates as target coordinates.

  A set of contributions of the object k in all detection value acquisition coordinates is referred to as contribution data Rk. FIG. 7 shows contribution data R1 of the object 1 based on the exemplary detection data Im of FIG. FIG. 8 shows contribution data R2 of the object 2 based on the exemplary detection data Im of FIG. FIG. 9 shows contribution data R3 of the object 3 based on the exemplary detection data Im of FIG. In FIG. 7, FIG. 8, and FIG. 9, for the sake of easy understanding, the contribution is expressed as a percentage. However, in the following calculation, the ratio calculated by Expression 2 is used as it is.

  In step 570, the individual value calculation unit 440 creates individual data for each object by calculating the individual value associated with each of the one or more detection value acquisition coordinates for each object. The individual value of one object in one detection value acquisition coordinate indicates a portion used in calculation of the object coordinates of the one object among the detection values of the one detection value acquisition coordinate. The individual value of one object in the one detection value acquisition coordinate is calculated based on the contribution degree of the one object in the one detection value acquisition coordinate and the detection value of the one detection value acquisition coordinate. .

  For example, by multiplying the detection value Im of the detection data Im shown in FIG. 3 by the contribution of the contribution data R1 of the object 1 shown in FIG. 7 for each detection value acquisition coordinate, the individual object 1 shown in FIG. Data P1 is calculated. By multiplying the detection value Im of the detection data Im shown in FIG. 3 by the contribution of the contribution data R2 of the object 2 shown in FIG. 8 for each detection value acquisition coordinate, the individual data P2 of the object 2 shown in FIG. Is calculated. By multiplying the detection value Im of the detection data Im shown in FIG. 3 and the contribution of the contribution data R3 of the object 3 shown in FIG. 9 for each detection value acquisition coordinate, individual data P3 of the object 3 shown in FIG. Is calculated. Since the individual value is calculated by multiplying the detected value and the contribution degree, the individual value of the same detected value acquisition coordinate is larger as the contribution degree is larger.

  In step 580, the coordinate calculation unit 450 calculates the object coordinates, and updates the current object coordinates with the calculated object coordinates. The object coordinates of the calculation target object are calculated based on the individual values of the calculation target object. Examples of methods by which the coordinate calculation unit 450 calculates object coordinates include quadratic curve approximation and a center of gravity calculation method.

  An example of a method in which the coordinate calculation unit 450 calculates and updates the object coordinates of the object 1 based on the individual data P1 of the object 1 illustrated in FIG. 10 using quadratic curve approximation will be described.

  When calculating the x coordinate of the object coordinate, the coordinate calculation unit 450 selects the detection value acquisition coordinate having the largest individual value and the two detection value acquisition coordinates adjacent to the detection value acquisition coordinate in the x direction. Select as. In the example of FIG. 10, since the detection value acquisition coordinates (4, 2) indicate 100 which is the maximum individual value of the object 1, the coordinate calculation unit 450 sets the detection value acquisition coordinates (3, 2). The x-coordinate “3” and its individual value “41”, the x-coordinate “4” of the detection value acquisition coordinate (4, 2) and its individual value “100”, and the x-coordinate “4” of the detection value acquisition coordinate (5, 2) 5 ”and its individual value“ 54.5 ”are used. As shown in FIG. 13, a quadratic curve passing through (3, 41), (4, 100), and (5, 54.5) in a coordinate system in which the horizontal axis is the x coordinate and the vertical axis is the individual value. Is drawn, the x coordinate of the point 651 at which the individual value takes the extreme value is the x coordinate of the object coordinate.

  When calculating the y-coordinate of the object coordinates, the coordinate calculation unit 450 selects the detection value acquisition coordinate having the largest individual value and the two detection value acquisition coordinates adjacent to the detection value acquisition coordinate in the y direction. Select as. In the example of FIG. 10, since the detected value acquisition coordinates (4, 2) indicate 100 which is the maximum individual value of the object 1, the coordinate calculation unit 450 uses the detected value acquisition coordinates (4, 1). The y coordinate “1” and its individual value “36.6”, the y coordinate “2” of the detection value acquisition coordinate (4, 2) and its individual value “100”, and the y of the detection value acquisition coordinate (4, 3) The coordinate “3” and its individual value “65.1” are used. As shown in FIG. 14, in a coordinate system in which the horizontal axis is the y coordinate and the vertical axis is the individual value, two passing through (1, 36.6), (2, 100), and (3, 65.1). When a quadratic curve is drawn, the y coordinate of the point 652 at which the individual value takes an extreme value is the y coordinate of the object coordinate.

  The coordinate calculation unit 450 updates the current object coordinates of the object 1 with the calculated object coordinates. Similarly, the coordinate calculation unit 450 calculates and updates the object coordinates of the object 2 based on the individual data P2 of the object 2 shown in FIG. Similarly, the coordinate calculation unit 450 calculates and updates the object coordinates of the object 3 based on the individual data P3 of the object 3 shown in FIG.

  An example of a method in which the coordinate calculation unit 450 calculates and updates the object coordinates of the object 1 based on the individual data P1 of the object 1 illustrated in FIG. 10 using the center of gravity calculation method will be described. The coordinate calculation unit 450 selects all detection value acquisition coordinates of the individual data P1 as selection coordinates. The coordinate calculation unit 450 may select some detection value acquisition coordinates of the individual data P1 as selection coordinates. For example, the coordinate calculation unit 450 may select a plurality of detection value acquisition coordinates whose distances from the object coordinates are included in a predetermined range as selection coordinates.

When the individual value in the detected value acquisition coordinates (x, y) is expressed as C (x, y), the object coordinates (x _G , y _G ) are calculated by Expression 3. By dividing the value obtained by adding the multiplied value of the x coordinate and the individual value in each detected value acquisition coordinate for all the detected value acquisition coordinates by the sum of the individual values in all the detected value acquisition coordinates, the object coordinates the x-coordinate _{x G} is calculated. By dividing the value obtained by adding the multiplication value of the y coordinate and the individual value in each detection value acquisition coordinate for all the detection value acquisition coordinates by the sum of the individual values in all detection value acquisition coordinates, the object coordinates The y coordinate y _{G of} is calculated.

  Based on the individual data P1 shown in FIG. 10, the object coordinates of the object 1 calculated by Expression 3 are (4.19, 2.72). The coordinate calculation unit 450 updates the current object coordinates of the object 1 with the calculated object coordinates of the object 1. Based on the individual data P2 shown in FIG. 11, the object coordinates of the object 2 calculated by Expression 3 are (2.63, 4.32). The coordinate calculation unit 450 updates the current object coordinates of the object 2 with the calculated object coordinates of the object 2. Based on the individual data P3 shown in FIG. 12, the object coordinates of the object 3 calculated by Expression 3 are (7.1, 8.04). The coordinate calculation unit 450 updates the current object coordinates of the object 3 with the calculated object coordinates of the object 3.

  In step 590, the stop unit 460 ends the coordinate calculation method when the end condition is satisfied. The stop unit 460 returns to Step 530 when the end condition is not satisfied. In one example, when the distance between the object coordinates before update in the coordinate calculation unit 450 and the object coordinates after update in the coordinate calculation unit 450 falls within a predetermined value, the stop unit 460 stops updating the object coordinates. . In one example, the stop unit 460 stops updating the object coordinates when the object coordinates are updated a predetermined number of times in the coordinate calculation unit 450.

  In step 530 to step 580 that are repeatedly executed, the contribution calculation unit 430 updates the contribution using the object coordinates calculated by the coordinate calculation unit 450. The individual value calculation unit 440 updates the individual value using the updated contribution degree. The coordinate calculation unit 450 updates the object coordinates using the updated individual values.

  According to the present embodiment, the object coordinates of a plurality of objects are calculated using individual values generated from the detected values in consideration of the degree of contribution. Therefore, the detected value of one detected value acquisition coordinate is any one. Compared to the case where only the object coordinates of one object are used for calculation, the coordinates of a plurality of objects can be calculated more accurately, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  FIG. 15 shows exemplary trajectories 701 and 702 of two objects in the case of a reference example using a conventional coordinate calculation method. FIG. 16 shows exemplary trajectories 801 and 802 of two objects when the coordinate calculation method of this embodiment is used. In the reference example of FIG. 15, the detection value of one detection value acquisition coordinate is used only for calculation of the object coordinate of any one object. Therefore, even if the object is moving smoothly, the locus 701 and the locus 702 are the same. There may be deviation. On the other hand, as shown in FIG. 16, in this embodiment, when the object is moving smoothly, a smooth locus 801 and a locus 802 are obtained.

  According to the present embodiment, the degree of influence of the positional relationship between the objects can be reflected in the detected value of the target coordinate in one target coordinate. As a result, the coordinates of a plurality of objects can be accurately calculated, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  According to the present embodiment, in one target coordinate, an object closer to the target coordinate has a higher contribution, so the contribution can reflect the degree of influence of each object on the detection value of the target coordinate. As a result, the coordinates of a plurality of objects can be accurately calculated, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  According to the present embodiment, the contribution is determined by the ratio of the reciprocal of the square of the distance. According to the present embodiment, the individual value of the object far from the target coordinate can be reduced compared to the case where the contribution is determined by the ratio of the reciprocal of the first power of the distance. It is possible to calculate accurately, and thereby input can be performed accurately based on the position and movement of the object on the operation surface. In the two-dimensional coordinate system, when obtaining the distance between two coordinates, the square root of the value obtained by adding the square of the difference between the components of the two coordinates is obtained. Therefore, by using the square of the distance for the calculation of the contribution, it is possible to omit the calculation for obtaining the square root in the calculation of the distance and the calculation of the square in the calculation of the contribution in the process of actually calculating the contribution. Therefore, the entire process can be speeded up. If the contribution is determined by the reciprocal ratio of the cube of the distance or more, the individual value of the object far from the target coordinate becomes too small, and the object far from the target coordinate hardly contributes to the target coordinate. The coordinates of a nearby object cannot be calculated accurately.

  According to the present embodiment, since the object coordinates are updated using the calculated object coordinates, the object coordinates can be easily converged to accurate coordinates. As a result, the coordinates of a plurality of objects can be calculated more accurately, thereby enabling accurate input based on the positions and movements of the objects on the operation surface.

  According to this embodiment, when the distance between the object coordinates before and after the update is within a predetermined value, the update of the object coordinates is stopped. As a result, it is possible to save processing time when processing is continued despite the fact that the object coordinates are not greatly updated, so that the object coordinates can be calculated with desired accuracy in a short time.

  According to the present embodiment, the object coordinates are calculated at a desired time by limiting the number of updates of the object coordinates.

  According to the present embodiment, provisional object coordinates for calculating the contribution can be set before calculating the contribution.

(Overall configuration of the second embodiment)
Next, an input device according to a second embodiment of the present invention will be described. FIG. 17 is a configuration diagram of the input device 1000 of the present embodiment. As illustrated in FIG. 1, the input device 1000 includes a sensor 1200, a storage device 1300, and an arithmetic processing device 1400.

  The plurality of drive electrodes 1210, the plurality of detection electrodes 1220, and the plurality of detection positions 1230 in the sensor 1200 of the present embodiment are respectively the plurality of drive electrodes 210, the plurality of detection electrodes 220, and the sensor 200 of the first embodiment. It is the same component as the plurality of detection positions 230.

  The storage device 1300 of the present embodiment is the same component as the storage device 300 of the first embodiment, but stores a coordinate calculation program for executing the coordinate calculation method of the second embodiment. This is different from the storage device 300 of the first embodiment.

  The arithmetic processing device 1400 according to the present embodiment is the same component as the arithmetic processing device 400 according to the first embodiment, but by detecting and executing a coordinate calculation program stored in the storage device 1300, a detection data generation unit 1410, the object information acquisition unit 1420, the mask setting unit 1425, the contribution calculation unit 1430, the individual value calculation unit 1440, the coordinate calculation unit 1450, and the calculation unit 400 according to the first embodiment in that it functions as a stop unit 1460. Different.

  The detection data generation unit 1410, the object information acquisition unit 1420, the contribution calculation unit 1430, the individual value calculation unit 1440, the coordinate calculation unit 1450, and the stop unit 1460 of the present embodiment are respectively the detection data generation unit of the first embodiment. 410, the object information acquisition unit 420, the contribution calculation unit 430, the individual value calculation unit 440, the coordinate calculation unit 450, and the stop unit 460, but partially different operations are also performed. Hereinafter, the difference between the first embodiment and the second embodiment will be mainly described.

  The mask setting unit 1425 defines one or more regions configured by continuous detection value acquisition coordinates having detection values equal to or larger than a predetermined value in the detection data. The mask setting unit 1425 sets a mask value for each detected value acquisition coordinate for each object. The mask value is set to one of non-contribution “0” and contribution “1”, and indicates whether or not there is non-contribution. The mask setting unit 1425 sets the mask value of the object corresponding to the object coordinates included in one defined area as non-contributing in the detection value acquisition coordinates outside one area, and detects within one area. In the value acquisition coordinates, set as contribution.

  When the mask value of one object in one detection value acquisition coordinate indicates non-contribution “0”, the contribution calculation unit 1430 compulsorily determines the contribution degree of the one object in the one detection value acquisition coordinate “ 0 "is calculated. When calculating the contribution degree of a plurality of objects in one detection value acquisition coordinate, the contribution degree calculation unit 1430 calculates the contribution degree only with an object whose mask value is set to contribution “1”. That is, in calculating the value obtained by adding the reciprocal of the square of the distance between the target coordinates and the object coordinates for all the object coordinates, the object coordinates and the target coordinates of the object whose mask value is set to non-contribution “0”. The reciprocal of the square of the distance to is not added.

(Coordinate calculation method of the second embodiment)
With reference to the flowchart of FIG. 21, the coordinate calculation method of 2nd Embodiment performed in the arithmetic processing apparatus 1400 is demonstrated.

  In step 1510, the object information acquisition unit 1420 acquires the number of objects based on the detection data Im, and further acquires the object coordinates of each of the one or more objects. The processing in step 1510 is the same as that in step 510 of the first embodiment.

  In step 1520, the object information acquisition unit 1420 proceeds to step 1525 when the number of objects is two or more, and ends the coordinate calculation method when the number of objects is one or less. The processing in step 1520 is the same as that in step 520 of the first embodiment.

  The exemplary detection data Im in FIG. 18 is the same detection data Im as in FIG. 3 of the first embodiment. Initially, as in the case of the first embodiment, the coordinates (4, 2) indicated by the solid line frame 1601 are set as the object coordinates of the object 1, and the coordinates (2, 4) indicated by the solid line frame 1602 are set. The object coordinates of the object 2 are set, and the coordinates (7, 8) indicated by the solid line frame 1603 are set as the object coordinates of the object 3.

  In step 1525, the mask setting unit 1425 defines one or more regions configured by continuous detection value acquisition coordinates having detection values equal to or larger than a predetermined value in the detection data.

  For example, in the detection data Im of FIG. 18, the mask setting unit 1425 includes a first region 1610 and a second region 1620 configured by continuous detection value acquisition coordinates having a detection value equal to or greater than an exemplary predetermined value 0.1. Is defined. Here, the detection value acquisition coordinates being continuous indicates that one detection value acquisition coordinate and another detection value acquisition coordinate are directly adjacent to each other in at least one of the x direction and the y direction.

  The mask setting unit 1425 sets a mask value for each detected value acquisition coordinate for each object. The mask setting unit 1425 sets the mask value of the object corresponding to the object coordinates included in one defined area as non-contributing in the detection value acquisition coordinates outside the one area, and within the one area The detected value acquisition coordinates are set as not contributing.

  FIG. 19 shows an object mask M <b> 1 corresponding to the object coordinates included in the first region 1610. In the mask M1, the mask values of the detection value acquisition coordinates in the first region 1610 are all set to contribution “1”, and the mask values of the detection value acquisition coordinates outside the first region 1610 are all set to non-contribution “0”. Is set. FIG. 20 is an object mask M2 corresponding to the object coordinates included in the second region 1620. In the mask M2, the mask values of the detection value acquisition coordinates in the second area 1620 are all set to contribution “1”, and the mask values of the detection value acquisition coordinates outside the second area 1620 are all set to non-contribution “0”. Is set.

  As shown in FIG. 18, since the object coordinates (4, 2) of the object 1 and the object coordinates (2, 4) of the object 2 are included in the first region 1610, the mask value of the mask M1 in FIG. Used as a mask value for object 2. As shown in FIG. 18, since the object coordinates (7, 8) of the object 3 are included in the second region 1620, the mask value of the mask M <b> 2 in FIG. 20 is used as the mask value of the object 3.

  In step 1530, the contribution calculation unit 1430 selects one of the object coordinates acquired by the object information acquisition unit 1420. The processing in step 1530 is the same as that in step 530 of the first embodiment.

  In step 1540, the contribution calculation unit 1430 calculates the distance between the object coordinates of the object selected in step 1530 and each detected value acquisition coordinate, and creates distance data of the selected object. The processing in step 1540 is the same as that in step 540 of the first embodiment.

  In step 1550, the contribution degree calculation unit 1430 returns to step 1530 when there is an unselected object coordinate. If there is no unselected object coordinate, that is, if distance data corresponding to all objects has been created, contribution calculation section 1430 proceeds to step 1560.

  In step 1560, the contribution calculation unit 1430 calculates, for each object, the contribution associated with each of the one or more detection value acquisition coordinates based on the one or more distance data. Create contribution data. The processing in step 1560 is substantially the same as step 560 in the first embodiment. However, when the mask value of one object in one detection value acquisition coordinate indicates non-contribution “0”, the contribution calculation unit 1430 compulsorily determines the contribution of the one object in the one detection value acquisition coordinate. "0" is calculated. When calculating the contribution degree of a plurality of objects in one detection value acquisition coordinate, the contribution degree calculation unit 1430 calculates the contribution degree only with an object whose mask value is set to contribution “1”. That is, in calculating the value obtained by adding the reciprocal of the square of the distance between the target coordinates and the object coordinates for all the object coordinates, the object coordinates and the target coordinates of the object whose mask value is set to non-contribution “0”. The reciprocal of the square of the distance to is not added.

  For example, as shown in the mask M1 in FIG. 19, the mask value at the coordinates (1, 1) of the object 1 and the object 2 is “0”. As shown in the mask M2 in FIG. 20, the mask value at the coordinates (1, 1) of the object 3 is “0”. Therefore, as shown in the mask M1 in FIG. 19 in which the contributions of all objects are calculated as “0”, the mask value at the coordinates (0, 4) of the object 1 and the object 2 is “1”. As shown in the mask M2 in FIG. 20, the mask value at the coordinates (0, 4) of the object 3 is “0”. Therefore, the contribution degree of the object 3 is calculated as “0”, and the distance between the object 1 and the object 2 alone is used for calculating the contribution degree of the object 1 and the object 2, and the distance of the object 3 is not used.

  In step 1570, the individual value calculation unit 1440 creates individual data for each object by calculating the individual value associated with each of the one or more detection value acquisition coordinates for each object. The processing in step 1570 is the same as that in step 570 in the first embodiment.

  In step 1580, the coordinate calculation unit 1450 calculates object coordinates, and updates the current object coordinates with the calculated object coordinates. The processing in step 1580 is the same as that in step 580 of the first embodiment.

  In step 1590, the stopping unit 1460 ends the coordinate calculation method when the end condition is satisfied. If the termination condition is not satisfied, the stopping unit 1460 returns to step 1530. The processing in step 1590 is the same as that in step 590 of the first embodiment.

  In steps 1530 to 1580 that are repeatedly executed, the contribution calculation unit 1430 updates the contribution using the object coordinates calculated by the coordinate calculation unit 1450. The individual value calculation unit 1440 updates the individual value using the updated contribution degree. The coordinate calculation unit 1450 updates the object coordinates using the updated individual values.

  According to the present embodiment, in addition to the effect of the first embodiment, the mask value is set before calculating the contribution, so the calculation time of the contribution in the detection value acquisition coordinates set to non-contribution is shortened. Thus, the calculation time of the total contribution can be shortened. For example, when a certain object does not contribute much to the generation of the detected value of the detected value acquisition coordinates, the calculation time of the contribution can be shortened by making the mask value at the detected value acquisition coordinates by the object non-contributing. .

  According to this configuration, when calculating the contribution degree of a certain object, the contribution degree of detected value acquisition coordinates having a minute detection value existing outside the area including the object coordinates corresponding to the object, and the object However, since it is possible to omit the calculation of the contribution of other regions that do not contribute much to the generation of the detection value, the calculation time of the overall contribution can be shortened.

  According to this modification, when calculating the contribution degree data of an object, the detected value acquisition coordinates that the object greatly contributed to the generation of the detected value and the detected value are preferentially used, so that the object can be more accurately obtained. Coordinates can be calculated.

  The present invention is not limited to the embodiment described above. That is, those skilled in the art may make various modifications, combinations, subcombinations, and alternatives regarding the components of the above-described embodiments within the technical scope of the present invention or an equivalent scope thereof.

  The present invention can be applied to various input devices including a sensor that generates a detection value indicating the degree of approach of an object at each of a plurality of detection positions. For example, the present invention can be applied to an input device mounted on a transport body such as a car, an aircraft, a ship, and a spacecraft.

DESCRIPTION OF SYMBOLS 100 ... Input device 200 ... Sensor 230 ... Detection position 400 ... Processing unit 410 ... Detection data generation part 420 ... Object information acquisition part 430 ... Contribution calculation part 440 ... Individual value calculation part 450 ... Coordinate calculation part 460 ... Stop part 1000 ... input device 1200 ... sensor 1230 ... detection position 1400 ... processing unit 1410 ... detection data generation unit 1420 ... object information acquisition unit 1425 ... mask setting unit 1430 ... contribution calculation unit 1440 ... individual value calculation unit 1450 ... coordinate calculation unit 1460 ... stop portion 1610 ... first region 1620 ... second region

Claims (15)

A sensor that generates a detection value indicating the degree of approach between the operation surface and the object at each of a plurality of detection positions on the operation surface;
The operation surface is based on detection data representing a correspondence between detection value acquisition coordinates indicating the coordinates of the plurality of detection positions from which the detection values are acquired and the detection values of the plurality of detection positions. An object information acquisition unit that acquires the presence and number of the objects close to
A contribution calculation unit that calculates, for each object, a contribution associated with each of the one or more detection value acquisition coordinates based on the detection data;
An individual value calculation unit that calculates an individual value associated with each of the one or more detection value acquisition coordinates for each object;
A coordinate calculation unit for calculating object coordinates indicating the coordinates of the object;
With
The degree of contribution of one object in one detection value acquisition coordinate indicates a ratio used in the calculation of the object coordinate of the one object in the detection value of the one detection value acquisition coordinate. ,
The individual value calculation unit calculates the individual value of the one object in the one detection value acquisition coordinate, the contribution of the one object in the one detection value acquisition coordinate, and the one detection value acquisition coordinate. By multiplying the detected value of
The coordinate calculation unit calculates the object coordinates of the object to be calculated based on the individual values of the object to be calculated;
Input device. An object information acquisition unit that acquires the object coordinates of each of the one or more objects based on the detection data before the contribution calculation unit calculates the contribution;
The input device according to claim 1. The contribution calculation unit calculates the contribution of two or more objects in one target coordinate among a plurality of detection value acquisition coordinates, and the target coordinates and the objects of the two or more objects. Calculating the contribution based on the distance to each of the coordinates;
The input device according to claim 2. When the contribution calculation unit calculates the contribution of the two or more objects in the target coordinates, the contribution of the object corresponding to the object coordinates close to the target coordinates is far from the target coordinates. Calculating the contribution so as to be equal to or greater than the contribution of the object corresponding to the object coordinates;
The input device according to claim 3. When calculating the contribution degree of one target object among the two or more objects in the target coordinates, the contribution degree calculation unit calculates a reciprocal of the square of the distance between the target coordinates and the object coordinates. A value obtained by dividing the reciprocal of the square of the distance between the object coordinates of the target object and the target coordinates, with the value added for all of the object coordinates, as the contribution.
The input device according to claim 3 or claim 4. The contribution calculation unit updates the contribution using the object coordinates calculated by the coordinate calculation unit,
The individual value calculation unit updates the individual value using the updated degree of contribution,
The coordinate calculation unit updates the object coordinates using the updated individual values.
The input device according to any one of claims 2 to 5. And a stop unit that stops updating the object coordinates when the distance between the object coordinates before update in the coordinate calculation unit and the object coordinates after update in the coordinate calculation unit is within a predetermined value. ,
The input device according to claim 6. When the object coordinates are updated a predetermined number of times in the coordinate calculation unit, further comprising a stop unit that stops updating the object coordinates,
The input device according to claim 6. The object information acquisition unit determines the object as the object when the detection value has a maximum value exceeding a predetermined threshold in the detection data.
The input device according to any one of claims 2 to 8. The object information acquisition unit acquires, as the object coordinates, the detection value acquisition coordinates at which the detection value is a maximum value in the detection data.
The input device according to any one of claims 2 to 9. The coordinate calculation unit calculates the object coordinates using only the individual values of a plurality of the detection value acquisition coordinates whose distance from the object coordinates is included in a predetermined range among the individual values.
The input device according to any one of claims 2 to 10. A mask setting unit that sets a mask value indicating whether or not non-contributing for each of the detected value acquisition coordinates for each object;
When the mask value of the one object in the one detection value acquisition coordinate indicates the non-contribution, the contribution degree calculation unit sets the contribution degree of the one object in the one detection value acquisition coordinate to 0. calculate,
The input device according to claim 1. The mask setting unit demarcates one or more regions composed of the detection value acquisition coordinates that have the detection value equal to or larger than a predetermined value in the detection data, and sets the object coordinates included in one region as the object coordinates. The mask value of the corresponding object is set to the non-contribution in the detection value acquisition coordinates outside the one area, and is set not to be the non-contribution in the detection value acquisition coordinates in the one area. To
The input device according to claim 12. A coordinate calculation method executed by an input device including a sensor that generates a detection value indicating a degree of approach between the operation surface and an object at each of a plurality of detection positions on the operation surface,
The operation surface is based on detection data representing a correspondence between detection value acquisition coordinates indicating the coordinates of the plurality of detection positions from which the detection values are acquired and the detection values of the plurality of detection positions. Obtaining the presence and number of said objects in proximity to,
Calculating a contribution degree associated with each of the one or more detection value acquisition coordinates based on the detection data for each object;
Calculating an individual value associated with each of the one or more detected value acquisition coordinates for each object;
Calculating the object coordinates indicating the coordinates of the object;
Including
The degree of contribution of one object in one detection value acquisition coordinate indicates a ratio used in the calculation of the object coordinate of the one object in the detection value of the one detection value acquisition coordinate. ,
The individual value of the one object in the one detection value acquisition coordinate is multiplied by the contribution of the one object in the one detection value acquisition coordinate and the detection value of the one detection value acquisition coordinate. Is calculated by
The object coordinates of the object to be calculated are calculated based on the individual values of the object to be calculated.
Coordinate calculation method.   A coordinate calculation program for causing a computer to execute the coordinate calculation method according to claim 14.

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