JP2016119009A - Input device, control method and program thereof - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an input device capable of reducing the influence of a detection error due to noise.SOLUTION: The degrees of approach of an object at plural positions on a detection surface are periodically detected by a sensor part 10. A group of detection data indicating the detection results is generated for each cycle. The group of detection data generated by the sensor part 10 is acquired by a detection data acquisition part 22 for each cycle. An error determination part 23 determines the presence/absence of an error in a detection operation due to noise for each cycle in accordance with the degree of the temporal change and the degree of the positional change of the detection data. When the error determination part 23 determines that there is an error in the detection operation of one cycle, the detection data acquisition part 22 skips acquisition processing of the detection data generated in the one cycle.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an input device that inputs information according to the proximity state of an object using a change in capacitance and the like, and a control method and program thereof, and in particular, in various information devices such as a computer, a finger, a pen, etc. The present invention relates to an input device that inputs information according to the operation.

  Sensors that detect changes in capacitance can detect the proximity of an object (finger, pen, etc.) with a simple configuration, so user interface devices for various electronic devices such as touchpads for notebook computers and touch panels for smartphones Widely used in

  The following Patent Document 1 describes a touch panel device including a touch panel unit in which a plurality of electrodes are arranged. A scanning electrode is determined from a plurality of electrodes of the touch panel unit, and the touch panel unit is operated on the determined scanning electrode, whereby a measurement value reflecting a change in capacitance of each electrode is acquired. The presence or absence of a touch on the touch panel unit is detected based on the acquired measurement value.

International Publication No. 2012/117437

  However, since such an input device is configured to detect an object close to the detection surface of the sensor with high sensitivity, there is a problem that the sensor is particularly susceptible to external electromagnetic noise. For example, in the case of the capacitance type sensor described above, since the change in the capacitance of the electrode due to the proximity of the object is detected as a minute change in the amount of charge, erroneous detection of the coordinates and contact state of the object due to the influence of noise is detected. There is a problem that it is likely to occur.

  The present invention has been made in view of such circumstances, and an object thereof is to provide an input device capable of reducing the influence of detection errors due to noise, a control method thereof, and a program.

  A first aspect of the present invention relates to an input device that inputs information according to the proximity state of an object to a detection surface. The input device detects a degree of proximity of an object at a plurality of positions on the detection surface and generates detection data indicating the detection result for each of the plurality of positions; and the detection at the plurality of positions. A sensor control unit for controlling the sensor unit to perform a periodic detection operation for generating data every cycle; and the plurality of detection data generated for the plurality of positions for each cycle of the detection operation. A detection data acquisition unit that acquires a detection error, and an error determination unit that determines whether there is an error in the detection operation due to noise for each cycle according to a degree of temporal change and a degree of positional change of the detection data; Have When the error determination unit determines that there is an error in the detection operation of one cycle, the detection data acquisition unit skips the acquisition process of the detection data generated in the one cycle.

According to said structure, the some detection data which show the proximity degree of the object in the several position of the said detection surface are produced | generated periodically by the said sensor part. The plurality of detection data generated for the plurality of positions is acquired by the detection data acquisition unit for each cycle of the periodic detection operation of the sensor unit. Further, the error determination unit determines whether or not there is an error in the detection operation due to noise in accordance with the degree of temporal change and the degree of positional change of the detection data. When the error determination unit determines that there is an error in the detection operation of one cycle, the detection data acquisition unit skips the acquisition process of the detection data generated in the one cycle.
Therefore, the presence or absence of an error in the detection operation due to noise is accurately determined according to the degree of temporal change and the degree of positional change of the detection data. In addition, since detection processing of detection data generated in a cycle in which it is determined that there is an error in detection operation due to noise is skipped, the influence of detection error due to noise is effectively reduced.

Preferably, the error determination unit calculates an evaluation value corresponding to the degree of positional change of the detection data with respect to each position for each cycle of the detection operation, and the calculated evaluation value If a predetermined error determination condition is satisfied, it may be determined that there is an error in the detection operation.
In this case, the error determination unit is a difference in temporal change amount of the detection data in a plurality of consecutive cycles of the detection operation, and the temporal change amount and the one position at one position of the detection surface. The evaluation value corresponding to the difference from the temporal change amount at a position adjacent to the position may be calculated for at least a part of the plurality of positions.

Preferably, the error determination unit calculates an evaluation value corresponding to a degree of temporal change in the positional change of the detection data for each cycle of the detection operation, and the calculated evaluation value If a predetermined error determination condition is satisfied, it may be determined that there is an error in the detection operation.
In this case, the error determination unit is an amount by which a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position is changed in a plurality of consecutive cycles of the detection operation. The evaluation value in accordance with may be calculated for at least some of the plurality of positions.

Preferably, the error determination unit compares the sum of the evaluation values calculated for at least a part of the plurality of positions with a predetermined threshold value, and determines whether there is an error in the detection operation according to the comparison result. You may judge.
Thereby, it becomes easy to grasp the change of the detection data locally generated by noise.

Preferably, the error determination unit compares the evaluation value calculated for at least a part of the plurality of positions with a predetermined threshold value, and the comparison result satisfies the condition of a predetermined magnitude relationship. When the number reaches a predetermined number, it may be determined that there is an error in the detection operation.
As a result, when only the detection data in a very small area is greatly changed by noise, it is difficult to determine the detection operation error.

Preferably, the error determination unit is configured to determine, for each cycle of the detection operation, a first value corresponding to a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position. A second evaluation value corresponding to an evaluation value and a temporal change amount of the detection data in two consecutive cycles of the detection operation is calculated for at least a part of the plurality of positions, and the calculated first evaluation value When the second evaluation value satisfies a predetermined error determination condition, it may be determined that there is an error in the detection operation.
In this case, the error determination unit compares the sum of the first evaluation values calculated for at least a part of the plurality of positions and a first threshold value, and at least a part of the plurality of positions. The presence or absence of an error in the detection operation may be determined according to a result of comparing the calculated sum of the second evaluation values with a second threshold value.
Alternatively, the error determination unit compares the first evaluation value calculated for at least a part of the plurality of positions with a first threshold value, and the number of the positions satisfying a predetermined magnitude relationship condition. Reaches a predetermined number and / or results of a comparison between the second evaluation value calculated for at least a part of the plurality of positions and a predetermined second threshold value, a predetermined magnitude relationship condition It may be determined that there is an error in the detection operation on the condition that the number of the positions satisfying the condition reaches a predetermined number.

  A second aspect of the present invention includes a sensor unit that detects the degree of proximity of an object at a plurality of positions on a detection surface and generates detection data indicating the detection result for each of the plurality of positions. The present invention relates to a method in which a computer controls an input device that inputs information according to the proximity state of an object to a surface. The control method of the input device includes a step of controlling the sensor unit to perform a periodic detection operation for generating the detection data at the plurality of positions every cycle, and for each cycle of the detection operation, The step of obtaining the plurality of detection data generated for the plurality of positions, and for each cycle of the detection operation, depending on a degree of temporal change and a degree of positional change of the detection data, noise Determining whether there is an error in the detection operation. In the step of acquiring the detection data, when it is determined that there is an error in the detection operation of one cycle in the step of determining the error, the acquisition processing of the detection data generated in the one cycle is skipped.

Preferably, in the step of determining the error, an evaluation value corresponding to a degree of positional change of the detection data is further calculated for each cycle of the detection operation. If the evaluation value satisfies a predetermined error determination condition, it may be determined that there is an error in the detection operation.
In this case, the step of determining the error is a difference in a temporal change amount of the detection data in a plurality of successive cycles of the detection operation, and the temporal change amount at one position of the detection surface and the one time difference. The evaluation value corresponding to the difference with the temporal change amount at a position adjacent to the position may be calculated for at least a part of the plurality of positions.

Preferably, the step of determining the error calculates an evaluation value corresponding to a degree of temporal change in the positional change of the detection data for each cycle of the detection operation. If the evaluation value satisfies a predetermined error determination condition, it may be determined that there is an error in the detection operation.
In this case, in the step of determining the error, a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position changes in a plurality of consecutive cycles of the detection operation. The evaluation value corresponding to the amount obtained may be calculated for at least some of the plurality of positions.

  Preferably, in the step of determining the error, the sum of the evaluation values calculated for at least a part of the plurality of positions is compared with a predetermined threshold, and the error of the detection operation is determined according to the comparison result. The presence or absence may be determined.

  Preferably, the step of determining the error compares the evaluation value calculated for at least a part of the plurality of positions with a predetermined threshold value, and the comparison result satisfies the condition of a predetermined magnitude relationship. When the number of positions reaches a predetermined number, it may be determined that there is an error in the detection operation.

  Preferably, the step of determining the error corresponds to a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position for each cycle of the detection operation. A first evaluation value and a second evaluation value corresponding to a temporal change amount of the detection data in two consecutive cycles of the detection operation are calculated for at least some of the plurality of positions, and the calculated first When the evaluation value and the second evaluation value satisfy a predetermined error determination condition, it may be determined that there is an error in the detection operation.

  A third aspect of the present invention relates to a program for causing a computer to execute the control method for the input device according to the second aspect of the present invention.

  According to the present invention, the influence of detection errors due to noise can be reduced.

It is a figure which shows an example of a structure of the input device which concerns on embodiment of this invention. It is a figure which shows an example of the detection data group input from a sensor part for every cycle of detection operation. FIG. 2A shows a group of detection data input in the most recent cycle. FIG. 2B shows a detection data group input in the cycle immediately before the detection data group shown in FIG. 2A. It is a figure for demonstrating that the positional distribution of the time variation | change_quantity of detection data differs by the case by noise and the case by proximity | contact of an object. FIG. 3A shows the distribution of the temporal change amount of the detection data that appears due to the influence of noise, and FIG. 3B shows the distribution of the temporal change amount of the detection data that appears due to the proximity of the object. It is a flowchart for demonstrating the process regarding the error determination of detection operation in the input device which concerns on 1st Embodiment, and acquisition of detection data. It is a flowchart for demonstrating the process regarding error determination of detection operation | movement in the input device which concerns on 2nd Embodiment, and acquisition of detection data. It is a flowchart for demonstrating the process regarding the error determination of detection operation | movement in the input device which concerns on 3rd Embodiment, and acquisition of detection data. It is a 1st flowchart for demonstrating the process regarding error determination of detection operation | movement in the input device which concerns on 4th Embodiment, and acquisition of detection data. It is a 2nd flowchart for demonstrating the process regarding the error determination of detection operation | movement in the input device which concerns on 4th Embodiment, and acquisition of detection data. It is a 1st flowchart for demonstrating the process regarding error determination of detection operation | movement in the input device which concerns on 5th Embodiment, and acquisition of detection data. It is a 2nd flowchart for demonstrating the process regarding the error determination of detection operation | movement in the input device which concerns on 5th Embodiment, and acquisition of detection data.

<First Embodiment>
FIG. 1 is a diagram illustrating an example of a configuration of an input device according to an embodiment of the present invention.
The input device illustrated in FIG. 1 includes a sensor unit 10, a processing unit 20, a storage unit 30, and an interface unit 40. The input device according to this embodiment is a device that inputs information according to the proximity state by bringing an object such as a finger or a pen close to a detection surface provided with a sensor. Note that “proximity” in the present specification includes both being close in a contact state and being close in a non-contact state.

[Sensor unit 10]
The sensor unit 10 detects the degree of proximity of an object such as a finger or a pen at a plurality of detection positions distributed on the detection surface. For example, the sensor unit 10 includes a sensor matrix 11 in which a capacitive sensor element (capacitor) 12 whose capacitance changes according to the proximity of an object is formed in a matrix, and a capacitance according to the capacitance of the capacitive sensor element 12. A detection data generation unit 13 that generates detection data and a drive unit 14 that applies a drive voltage to the capacitive sensor element 12 are included.

  The sensor matrix 11 includes a plurality of drive electrodes Lx extending in the vertical direction (Y direction) and a plurality of detection electrodes Ly extending in the horizontal direction (X direction). The plurality of drive electrodes Lx are arranged in parallel in the horizontal direction (X direction), and the plurality of detection electrodes Ly are arranged in parallel in the vertical direction (Y direction). The plurality of drive electrodes Lx and the plurality of detection electrodes Ly intersect in a lattice pattern and are insulated from each other. The capacitive sensor element 12 is formed near the intersection of the drive electrode Lx and the detection electrode Ly. In the example of FIG. 1, the shape of the electrodes (Lx, Ly) is drawn in a strip shape, but other arbitrary shapes (such as a diamond pattern) may be used.

  The drive unit 14 applies a drive voltage to each capacitive sensor element 12 of the sensor matrix 11. Specifically, the drive unit 14 selects one drive electrode Lx in order from the plurality of drive electrodes Lx according to the control of the processing unit 20, and periodically changes the potential of the selected one drive electrode Lx. . When the potential of the drive electrode Lx changes within a predetermined range, the drive voltage applied to the capacitive sensor element 12 formed near the intersection of the drive electrode Lx and the detection electrode Ly changes within the predetermined range. Charging or discharging occurs in the capacitive sensor element 12.

  The detection data generation unit 13 generates detection data corresponding to the charge transmitted in each detection electrode Ly when the capacitive sensor element 12 is charged or discharged in accordance with the application of the drive voltage by the drive unit 14. That is, the detection data generation unit 13 samples the charge transmitted through each detection electrode Ly at a timing synchronized with the periodic change of the drive voltage of the drive unit 14, and generates detection data according to the sampling result. To do.

For example, the detection data generation unit 13 converts a capacitance-voltage conversion circuit (CV conversion circuit) that outputs a voltage corresponding to the capacitance of the capacitive sensor element 12 and the output signal of the CV conversion circuit into a digital signal. And an analog-digital conversion circuit (AD conversion circuit) that outputs the detection data.
The CV conversion circuit samples the charge transmitted through the detection electrode Ly according to the control of the processing unit 20 each time the driving voltage of the driving unit 14 is periodically changed to charge or discharge the capacitive sensor element 12. . Specifically, every time positive or negative charge is transmitted at the detection electrode Ly, the CV conversion circuit transfers this charge or a charge proportional thereto to the reference capacitor and generates it in the reference capacitor. A signal corresponding to the voltage is output. For example, the CV conversion circuit outputs a signal corresponding to an integrated value or an average value of charges periodically transmitted through the detection electrode Ly or charges proportional thereto. The AD conversion circuit converts the output signal of the CV conversion circuit into a digital signal at a predetermined period according to the control of the processing unit 20 and outputs it as detection data.

  In addition, although the sensor part 10 shown in the above-mentioned example detects the proximity | contact of an object by the change of the electrostatic capacitance (mutual capacitance) which arises between electrodes (Lx, Ly), it is not restricted to this example, others The proximity of the object may be detected by various methods. For example, the sensor unit 10 may be a system that detects a capacitance (self-capacitance) generated between the electrode and the ground due to the approach of an object. In the case of a method for detecting self-capacitance, a drive voltage is applied to the detection electrode. Further, the sensor unit 10 is not limited to the electrostatic capacity method, and may be, for example, a resistance film method or an electromagnetic induction method.

[Processing unit 20]
The processing unit 20 is a circuit that controls the overall operation of the input device, and includes, for example, a computer that performs processing according to an instruction code of a program stored in the storage unit 30, and a logic circuit that implements a specific function. Composed. All of the processing of the processing unit 20 may be realized by a computer and a program, or part or all of the processing may be realized by a dedicated logic circuit.

  In the example of FIG. 1, the processing unit 20 includes a sensor control unit 21, a detection data acquisition unit 22, an error determination unit 23, and a detection data processing unit 24.

  The sensor control unit 21 controls the sensor unit 10 so as to perform a periodic detection operation for generating detection data for each cycle at a plurality of detection positions (each capacitive sensor element 12 of the sensor matrix 11) on the detection surface. . Specifically, the sensor control unit 21 periodically selects the drive electrode and generation of the pulse voltage in the drive unit 14 and the detection electrode selection and detection data generation in the detection data generation unit 13 at appropriate timings. These circuits are controlled as done.

  The detection data acquisition unit 22 acquires a plurality of detection data (detection data group) generated for a plurality of detection positions on the detection surface from the sensor unit 10 for each cycle of the detection operation of the sensor unit 10. However, when the error determination unit 23 described later determines that there is an error in the detection operation of one cycle, the detection data acquisition unit 22 skips the acquisition process of the detection data generated in the one cycle.

  For example, the detection data acquisition unit 22 inputs a detection data group from the sensor unit 10 for each cycle of the detection operation, and stores it in the storage unit 30 as input data DI. The detection data acquisition unit 22 stores the input data DI generated in the cycle in which it is determined that there is no error by the error determination unit 23 in the storage unit 30 as the output data DO. On the other hand, the detection data acquisition unit 22 does not store the input data DI generated in the cycle determined to have an error in the storage unit 30 as the output data DO. For a cycle in which the output data DO of the storage unit 30 has not been updated due to the error determination, for example, it is assumed that a detection data group (output data DO) having the same value as the previous cycle has been acquired, and a subsequent block (detection data processing) Part 24 etc.) is performed.

  The error determination unit 23 determines the presence or absence of an error in detection operation due to noise for each cycle according to the degree of temporal change and the degree of positional change of detection data generated in the sensor unit 10.

  For example, the error determination unit 23 calculates an evaluation value E corresponding to the degree of positional change of the temporal change in the detection data for each cycle of the detection operation by the sensor unit 10, and the calculation is performed. When the evaluation value E satisfies a predetermined error determination condition, it is determined that there is an error in the detection operation of the sensor unit 10.

Specifically, the error determination unit 23 calculates an evaluation value E corresponding to the difference in the temporal change amount of the detection data generated in a plurality of consecutive cycles.
Here, the “temporal change amount” is a change amount of detection data at the same detection position generated in a plurality of consecutive cycles. For example, a value related to the difference in detected data in two consecutive cycles or the magnitude of change in detected data in three or more consecutive cycles (difference between maximum value and minimum value, variance, standard deviation, etc.) Change amount ”.
Further, the “difference in the temporal change amount of the detection data” is a difference between the temporal change amount at one detection position of the detection surface and the temporal change amount at the detection position adjacent to the one detection position. . There may be only one “adjacent detection position” or a plurality of “adjacent detection positions”. When there are a plurality of “adjacent detection positions”, for example, the difference between the temporal change amount at one detection position and the average value of the temporal change amounts at a plurality of adjacent detection positions is expressed as “temporal change of detection data”. It may be “difference in change”.

  The error determination unit 23 calculates an evaluation value E corresponding to the “difference in the amount of temporal change in detection data” for at least some of the detection positions on the detection surface, and obtains the sum S thereof. The error determination unit 23 compares the calculated sum S of evaluation values E with a predetermined threshold value TH1, and determines the presence or absence of an error in the detection operation according to the comparison result.

  For example, the error determination unit 23 calculates the evaluation value E using the detection data group (input data DI, input data OLD) input from the sensor unit 10 every cycle by the detection data acquisition unit 22.

  FIG. 2 is a diagram illustrating an example of a detection data group (input data DI) input from the sensor unit 10 for each cycle of the detection operation. FIG. 2A shows a detection data group (input data DI) input in the latest cycle, and FIG. 2B shows a detection data group (input data OLD) input in the cycle immediately before the input data DI.

The detection data group (input data DI, OLD) shown in the example of FIG. 2 forms matrix-like two-dimensional data. “DI [n] [m]” indicates a matrix element of m rows and n columns in the input data DI, and “OLD [n] [m]” indicates a matrix element of m rows and n columns in the input data OLD.
Each matrix element of the two-dimensional data indicates detection data generated for each of M × N detection positions arranged in a matrix on the detection surface. When the row direction in the matrix arrangement of detection positions is the X direction and the column direction is the Y direction, the row number and column number of the two-dimensional data represent the X coordinate and Y coordinate of the detection position, respectively. That is, an element of m rows and n columns in the two-dimensional data is a detection position (hereinafter referred to as “detection position P (n, m)”) where the X coordinate on the detection surface is “n” and the Y coordinate is “m”. The generated detection data is shown.

  The evaluation value E (n, m) at the detection position P (n, m) is expressed by the following equation, for example.

  “DDI (n, m) / dt” in Expression (1) indicates a temporal change amount of detection data generated for the detection position P (n, m). “DDI (n + 1, m) / dt” indicates a temporal change amount of detection data generated for the detection position P (n + 1, m). These temporal changes are expressed, for example, by the following equations.

  The error determination unit 23 calculates the sum S of the evaluation values E (n, m) over the entire detection surface, for example, using the following equation.

  The error determination unit 23 determines that there is an error in detection operation due to noise when the sum S is greater than a predetermined threshold value TH1.

  The detection data processing unit 24 performs processing for calculating the coordinates of the position where the object is close, processing for determining the type of the object, and the like based on the output data DO acquired for each cycle in the detection data acquisition unit 22. .

  For example, the detection data processing unit 24 calculates the matrix format output data DO acquired by the detection data acquisition unit 22 and the matrix format base value stored in advance in another storage area (base value memory) of the storage unit 30. The difference is calculated, and the calculation result is stored in the storage unit 30 as two-dimensional data in a matrix format. The base value memory stores a value (base value) that serves as a reference for detection data in a state where no object is close to the detection surface.

  The detection data processing unit 24 identifies the proximity region of the object on the detection surface based on the two-dimensional data indicating the amount of change from the base value, and determines the shape of the identified proximity region and the data value in the proximity region. The coordinates of the object are calculated from the distribution and the like. Further, the detection data processing unit 24 determines whether or not the object is in contact and the type of the object (finger) based on the area of the proximity region on the detection surface of the object whose coordinates are calculated, the size of the data value in the proximity region, and the like. / Palm).

[Storage unit 30]
The storage unit 30 stores constant data and variable data used for processing in the processing unit 20. When the processing unit 20 includes a computer, the storage unit 30 may store a program executed on the computer. The storage unit 30 includes, for example, a volatile memory such as a DRAM or SRAM, a nonvolatile memory such as a flash memory, a hard disk, or the like.

[Interface unit 40]
The interface unit 40 is a circuit for exchanging data between the input device and another control device (such as a control IC for an information device equipped with the input device). The processing unit 20 outputs information (such as object coordinate information and the number of objects) stored in the storage unit 30 from the interface unit 40 to a control device (not shown). Further, the interface unit 40 acquires a program executed in the computer of the processing unit 20 from a disk drive device (not shown) (device that reads a program recorded in a non-temporary recording medium), a server, or the like, and the storage unit 30 You may load it.

  Next, the error determination of the detection operation in the input device having the above-described configuration and the acquisition of detection data corresponding to this will be described.

FIG. 3 is a diagram for explaining that the positional distribution of the temporal change amount of the detection data differs depending on whether noise is detected or an object is close. FIG. 3A shows the distribution of the temporal change amount of the detection data that appears due to the influence of noise, and FIG. 3B shows the distribution of the temporal change amount of the detection data that appears due to the proximity of an object (such as a finger).
When detection data changes due to the proximity of an object such as a finger, the temporal change amount is relatively small as shown in FIG. 3B, and the positional change of the temporal change amount appears relatively slowly. On the other hand, when the detection data changes due to the influence of noise, the temporal change amount becomes large as shown in FIG. 3A, and the positional change of the temporal change amount appears steeply.

  Therefore, when the detection data changes due to the influence of noise, the temporal changes shown in the equations (2-1) and (2-2) become large, and the difference between these temporal changes is obtained by squaring. Since the evaluation value E (n, m) of the expression (1) also increases, the sum S of the expression (3) obtained by adding the evaluation values E (n, m) becomes a large value. Therefore, when the sum S exceeds the predetermined threshold value TH1, it can be determined that there is an error in the detection operation due to noise.

  FIG. 4 is a flowchart for explaining processing relating to error determination and detection data acquisition of the detection operation in the input apparatus according to the first embodiment.

ST100:
When starting the operation, the processing unit 20 initializes the input data DI and DO and the output data DO stored in the storage unit 30.

ST110:
The detection data acquisition unit 22 inputs a detection data group (N × M detection data corresponding to N × M detection positions on the detection surface) for one cycle from the sensor unit 10 and uses this as input data DI. Store in the storage unit 30.

ST120:
The error determination unit 23 initializes “m” indicating the Y coordinate of the detection position and “S” indicating the sum of the evaluation value E to zero.

ST130:
The error determination unit 23 initializes “n” indicating the X coordinate of the detection position to zero.

ST140:
The error determination unit 23 refers to the latest input data DI stored in the storage unit 30 and the previous input data OLD, and calculates an evaluation value E (n, m) at the detection position P (n, m). The calculation of the evaluation value E based on the input data DI and the previous input data OLD is not limited to the square calculation as shown in the equation (1). For example, an absolute value may be calculated instead of the square operation in Equation (1), or a half power (square root) or a fourth power may be calculated.

ST150:
The error determination unit 23 adds the evaluation value E (n, m) calculated in step ST140 to the sum S.

ST240, ST250:
The error determination unit 23 adds “1” to “n” indicating the X coordinate of the detection position, and determines whether or not “n” is equal to or greater than “N−1”. If “n” is smaller than “N−1”, the error determination unit 23 returns to step ST140 and repeats the calculation of the evaluation value E (n, m) and the update of the sum S described above. If “n” is “N−1” or more, the error determination unit 23 proceeds to the next step ST310.

ST310, ST320:
The error determination unit 23 adds “1” to “m” indicating the Y coordinate of the detection position, and determines whether or not “m” is equal to or greater than “M”. If “m” is smaller than “M”, the error determination unit 23 returns to step ST130 and repeats the processes of steps ST130 to ST250. If “m” is equal to or greater than “M”, the error determination unit 23 proceeds to the next step ST330.

ST330:
The error determination unit 23 compares the sum S, which is the result of adding the evaluation values E for the entire detection surface, with the threshold value TH1. When the sum S is smaller than the threshold value TH1, the error determination unit 23 determines that there is no error in the detection operation of the sensor unit 10. When the sum S is equal to or greater than the threshold value TH1, the error determination unit 23 determines that there is an error in the detection operation.

ST350:
When the error determination unit 23 determines that there is no error, the detection data acquisition unit 22 stores the input data DI input from the sensor unit 10 in the latest cycle as output data DO in the storage unit 30 (detection data acquisition processing) ). On the other hand, when the error determination unit 23 determines that there is an error, the detection data acquisition unit 22 skips this detection data acquisition process. In the cycle in which the detection data acquisition process is skipped, the output data DO stored in the storage unit 30 is not updated.

ST360:
The error determination unit 23 substitutes the input data DI stored in the storage unit 30 for the input data OLD, and returns to step ST110. As a result, the input data DI of the latest cycle is stored in the storage unit 30 as the input data OLD of the previous cycle, and the input data DI is updated to the latest value.

  As described above, according to the input device according to the present embodiment, the presence or absence of a detection operation error due to noise is accurately determined according to the degree of temporal change and the degree of positional change of detection data. be able to. In addition, it is possible to prevent coordinates from being calculated based on erroneous detection data by skipping the detection processing of detection data generated in a cycle in which it is determined that there is an error in detection operation due to noise. Thus, it is possible to effectively reduce the influence of detection errors due to noise.

  Further, according to the input device according to the present embodiment, the presence or absence of an error in the detection operation is determined based on the sum S obtained by adding the evaluation values E at the respective detection positions on the detection surface. Therefore, it is easy to grasp the change in the detected data, and the presence or absence of an error can be determined more accurately.

<Second Embodiment>
Next, a second embodiment of the present invention will be described.
The input device according to the second embodiment is obtained by changing the determination operation of the error determination unit 23 in the input device according to the first embodiment. Other configurations are the same as those of the input device according to the first embodiment. The same.

  The error determination unit 23 according to the second embodiment calculates an evaluation value EA corresponding to the degree of temporal change in the positional change of the detection data for each cycle of the detection operation by the sensor unit 10. . The error determination unit 23 determines that there is an error in the detection operation of the sensor unit 10 when the evaluation value EA satisfies a predetermined error determination condition.

Specifically, the error determination unit 23 calculates an evaluation value EA corresponding to the amount by which the positional change amount of the detection data further changes with time in a plurality of consecutive detection operation cycles.
Here, the “positional change amount” is a difference between detection data at one position on the detection surface and detection data at a position adjacent to the one position. There may be only one “adjacent detection position” or a plurality of “adjacent detection positions”. When there are a plurality of “adjacent detection positions”, for example, the difference between the detection data at one detection position and the average value of the detection data at a plurality of detection positions adjacent to the detection position may be used as the “positional change amount”.
In addition, the “amount of positional change that has changed with time” is an amount that the positional change for the same detection position has changed in a plurality of consecutive cycles. For example, the difference in positional change amount in two consecutive cycles, or a value related to the magnitude of change in positional change amount in three or more consecutive cycles (difference between maximum value and minimum value, variance, standard deviation, etc. ) May be defined as “amount of positional change further changed over time”.

  The error determination unit 23 calculates an evaluation value EA corresponding to “amount of positional change further changed over time” for at least some detection positions in a plurality of detection positions on the detection surface, and sums SA thereof. Ask for. The error determination unit 23 compares the calculated sum SA of the evaluation values EA with a predetermined threshold value TH1, and determines whether there is an error in the detection operation according to the comparison result.

  The evaluation value EA (n, m) at the detection position P (n, m) is expressed by the following equation, for example.

  “DDI (n, m) / dx” in Equation (4) indicates the positional change amount of the detection data of the input data DI calculated for the detection position P (n, m). “DOLD (n, m) / dx” indicates the positional change amount of the detection data of the input data OLD calculated for the detection position P (n, m). These positional change amounts are expressed by the following equation, for example.

  The error determination unit 23 calculates the sum SA of the evaluation values EA (n, m) over the entire detection surface, for example, using the following equation.

  The error determination unit 23 determines that there is an error in detection operation due to noise when the sum SA is greater than a predetermined threshold value TH1.

  FIG. 5 is a flowchart for explaining processing related to error detection of detection operation and acquisition of detection data in the input device according to the second embodiment. In the flowchart shown in FIG. 5, step ST120 in the flowchart shown in FIG. 4 is changed to step ST120A, steps ST140 and ST150 are changed to steps ST140A and ST150A, and step ST330 is changed to step ST330A. Is the same as the flowchart shown in FIG. Only the changed steps will be described here.

ST120A:
The error determination unit 23 initializes “m” indicating the Y coordinate of the detection position and “SA” indicating the sum of the evaluation value EA to zero.

ST140A:
The error determination unit 23 refers to the latest input data DI stored in the storage unit 30 and the previous input data OLD, and calculates an evaluation value EA (n, m) at the detection position P (n, m).

ST150A:
The error determination unit 23 adds the evaluation value EA (n, m) calculated in step ST140A to the sum SA.

ST330A:
The error determination unit 23 compares the sum SA, which is the result of adding the evaluation values EA of the entire detection surface, with the threshold value TH1. When the sum SA is smaller than the threshold value TH1, the error determination unit 23 determines that there is no error in the detection operation of the sensor unit 10. When the sum SA is larger than the threshold value TH1, the error determination unit 23 determines that there is an error in the detection operation.

  The input device according to the second embodiment described above can achieve the same effects as the input device according to the first embodiment. That is, the presence or absence of an error in detection operation due to noise can be accurately determined according to the degree of temporal change and the degree of positional change of the detection data. In addition, since detection processing of detection data generated in a cycle in which it is determined that there is an error in detection operation due to noise is skipped, the influence of detection error due to noise can be effectively reduced.

<Third Embodiment>
Next, a third embodiment of the present invention will be described.
The input device according to the third embodiment is obtained by changing the determination operation of the error determination unit 23 in the input device according to the first embodiment. Other configurations are the same as those of the input device according to the first embodiment. The same.

  The error determination unit 23 according to the third embodiment uses an evaluation value E (for example, Equation (1)) indicating the degree of temporal change and the degree of positional change of the detection data for a plurality of detection positions on the detection surface. At least a part is calculated, and the calculated evaluation value E is compared with a predetermined threshold value TH2. Then, the number “K” of detection positions where the comparison result satisfies the condition of a predetermined magnitude relationship (for example, “E ≧ TH2”) is counted, and when this count value K reaches a predetermined threshold value TH3, detection is performed. It is determined that there is an operation error.

  FIG. 6 is a flowchart for explaining processing related to error determination of detection operation and acquisition of detection data in the input device according to the third embodiment. In the flowchart shown in FIG. 6, step ST120 in the flowchart shown in FIG. 4 is changed to step ST120B, step ST150 is replaced with steps ST160 and ST170, and step ST330 is replaced with step ST340. This is the same as the flowchart shown in FIG. Here, only changed or replaced steps will be described.

ST120B:
The error determination unit 23 initializes “m” indicating the Y coordinate of the detection position and the count value K to zero.

ST160, ST170:
The error determination unit 23 compares the evaluation value E calculated in step ST140 with the threshold value TH2. If the evaluation value E is greater than the threshold value TH2, “1” is added to the count value K. When the evaluation value E is smaller than the threshold value TH2, the error determination unit 23 maintains the value of the count value K.

ST340:
The error determination unit 23 compares a count value K, which is the number of detection positions where the evaluation value E is greater than the threshold value TH2, with a predetermined threshold value TH3. When the count value K is smaller than the threshold value TH3, the error determination unit 23 determines that there is no error in the detection operation of the sensor unit 10. When the count value K is greater than the threshold value TH3, the error determination unit 23 determines that there is an error in the detection operation.

  In the example of the flowchart described above, the error determination unit 23 compares the evaluation value E of Expression (1) with the threshold value TH2, but instead of the evaluation value E, the error determination unit 23 calculates the evaluation value EA of Expression (4). You may compare with threshold value TH2.

  The input device according to the third embodiment described above can achieve the same effects as the input device according to the first embodiment. That is, the presence or absence of an error in detection operation due to noise can be accurately determined according to the degree of temporal change and the degree of positional change of the detection data. In addition, since detection processing of detection data generated in a cycle in which it is determined that there is an error in detection operation due to noise is skipped, the influence of detection error due to noise can be effectively reduced.

  Furthermore, in the input device according to the present embodiment, even if the evaluation value E and the evaluation value EA are locally extremely large due to noise, if the region is very small, an error in the detection operation of the entire detection surface. Can be prevented from being determined as. Since detection data errors that occur in a very small area may be removed by subsequent filtering, in such cases, detection data acquisition is not performed by determining that it is not an error in the detection operation for the entire detection surface. It is possible to suppress a decrease in detection performance of an object due to the process being suspended.

<Fourth Embodiment>
Next, a fourth embodiment of the present invention will be described.
The input device according to the fourth embodiment is obtained by changing the determination operation of the error determination unit 23 in the input device according to the first embodiment. Other configurations are the same as those of the input device according to the first embodiment. The same.

  The error determination unit 23 in the fourth embodiment uses a first evaluation value E1 corresponding to the positional change amount of the detection data and a second evaluation value E2 corresponding to the temporal change amount of the detection data on the detection surface. When at least a part of the plurality of detection positions is calculated and the calculated first evaluation value E1 and second evaluation value E2 satisfy a predetermined error determination condition, it is determined that there is an error in the detection operation of the sensor unit 10.

Here, the “positional change amount” is a difference between detection data at one position on the detection surface and detection data at a position adjacent to the one position. There may be only one “adjacent detection position” or a plurality of “adjacent detection positions”. When there are a plurality of “adjacent detection positions”, for example, the difference between the detection data at one detection position and the average value of the detection data at a plurality of detection positions adjacent to the detection position may be used as the “positional change amount”.
The “time change amount” is a change amount of detection data at the same detection position generated in a plurality of consecutive cycles. For example, a value related to the difference in detected data in two consecutive cycles or the magnitude of change in detected data in three or more consecutive cycles (difference between maximum value and minimum value, variance, standard deviation, etc.) Change amount ”.

  The first evaluation value E1 corresponding to the “positional change amount” at the detection position P (n, m) is expressed by the following equation, for example.

  Further, the second evaluation value E2 corresponding to the “temporal change amount” at the detection position P (n, m) is expressed by the following equation, for example.

  The error determination unit 23 calculates the sum S1 of the first evaluation values E1 (n, m) and the sum S2 of the second evaluation values E2 (n, m) over the entire detection surface, for example, by the following equation.

  The error determination unit 23 determines that there is an error in the detection operation due to noise when the sum S1 is greater than the predetermined threshold TH4 and the sum S2 is greater than the predetermined threshold TH5.

  FIG. 7 and FIG. 8 are flowcharts for explaining processing related to error determination of detection operation and acquisition of detection data in the input device according to the fourth embodiment. In the flowcharts shown in FIGS. 7 and 8, step ST120 in the flowchart shown in FIG. 4 is changed to step ST120C, step ST140 is replaced with steps ST140C and ST140D, step ST150 is replaced with steps ST150C and ST150D, and step ST330 is replaced. Step ST330C has been changed, and other steps are the same as those in the flowchart shown in FIG. Here, only changed or replaced steps will be described.

ST120C:
The error determination unit 23 initializes “m” indicating the Y coordinate of the detection position, “S1” indicating the sum of the first evaluation values E1, and “S2” indicating the sum of the second evaluation values E2 to zero. To do.

ST140C, ST140D:
The error determination unit 23 refers to the latest input data DI and the previous input data OLD stored in the storage unit 30, and the first evaluation value E1 (n, m) and the second value at the detection position P (n, m). An evaluation value E2 (n, m) is calculated.

ST150C, ST150D:
The error determination unit 23 adds the first evaluation value E1 (n, m) calculated in step ST140C to the sum S1, and adds the second evaluation value E2 (n, m) calculated in step ST140D to the sum S2.

ST330C:
The error determination unit 23 compares the sum S1 that is the result of adding the first evaluation values E1 of the entire detection surface with the threshold value TH4, and the result of adding the second evaluation values E2 of the entire detection surface. Is compared with the threshold value TH5. When the sum S1 is smaller than the threshold value TH4 and the sum S2 is smaller than the threshold value TH5, the error determination unit 23 determines that there is no error in the detection operation of the sensor unit 10. On the other hand, if the sum S1 is greater than the threshold value TH4 or the sum S2 is greater than the threshold value TH5, the error determination unit 23 determines that there is an error in the detection operation.

  In another modification, the error determination unit 23 determines that there is no error in the detection operation of the sensor unit 10 when the sum S1 is smaller than the threshold value TH4 or the sum S2 is smaller than the threshold value TH5. If the sum S1 is larger than the threshold value TH4 and the sum S2 is larger than the threshold value TH5, it may be determined that there is an error in the detection operation of the sensor unit 10.

  The input device according to the fourth embodiment described above can achieve the same effects as the input device according to the first embodiment. That is, the presence or absence of an error in detection operation due to noise can be accurately determined according to the degree of temporal change and the degree of positional change of the detection data. In addition, since detection processing of detection data generated in a cycle in which it is determined that there is an error in detection operation due to noise is skipped, the influence of detection error due to noise can be effectively reduced.

<Fifth Embodiment>
Next, a fifth embodiment of the present invention will be described.
The input device according to the fifth embodiment is obtained by changing the determination operation of the error determination unit 23 in the input device according to the first embodiment. Other configurations are the same as those of the input device according to the first embodiment. The same.

The error determination unit 23 in the fifth embodiment includes a first evaluation value E1 (for example, Expression (7)) corresponding to the positional change amount of the detection data, and a second evaluation corresponding to the temporal change amount of the detection data. A value E2 (for example, Expression (8)) is calculated for at least some of the plurality of detection positions on the detection surface.
The error determination unit 23 compares the calculated first evaluation value E1 with a predetermined threshold value TH6, and the number of detection positions where the comparison result satisfies a predetermined magnitude relationship (eg, “E1 ≧ TH6”). Count “K1”. In addition, the error determination unit 23 compares the calculated second evaluation value E2 with a predetermined threshold value TH7, and the detection result satisfies a predetermined magnitude relationship (eg, “E2 ≧ TH7”). The number “K2” is counted.
Then, the error determination unit 23 determines that there is an error in the detection operation when the count value K1 reaches the predetermined threshold value TH8 and the count value K2 reaches the predetermined threshold value TH9.

  FIG. 9 and FIG. 10 are flowcharts for explaining processing relating to error determination of detection operation and acquisition of detection data in the input apparatus according to the fifth embodiment. In the flowcharts shown in FIGS. 9 and 10, step ST120C in the flowcharts shown in FIGS. 7 and 8 is changed to step ST120E, step ST150C is replaced with steps ST160E and ST170E, and step ST150D is changed to steps ST160F and ST170F. Step ST330C is replaced with step ST340E, and the other steps are the same as those in the flowcharts shown in FIGS. Here, only changed or replaced steps will be described.

ST120E:
The error determination unit 23 initializes “m” indicating the Y coordinate of the detection position and the count values K1 and K2 to zero.

ST160E, ST170E:
The error determination unit 23 compares the first evaluation value E1 calculated in step ST140C with a threshold value TH6, and adds “1” to the count value K1 when the first evaluation value E1 is larger than the threshold value TH6. When the first evaluation value E1 is smaller than the threshold value TH6, the error determination unit 23 maintains the count value K1.

ST160F, ST170F:
The error determination unit 23 compares the second evaluation value E2 calculated in step ST140D with the threshold value TH7, and adds “1” to the count value K2 when the second evaluation value E2 is larger than the threshold value TH7. When the second evaluation value E2 is smaller than the threshold value TH7, the error determination unit 23 maintains the count value K2.

ST340E:
The error determination unit 23 compares the count value K1, which is the number of detection positions where the first evaluation value E1 is greater than the threshold value TH6, with a predetermined threshold value TH8, and the second evaluation value E2 is greater than the threshold value TH7. The count value K2, which is the number of large detection positions, is compared with a predetermined threshold value TH9. When the count value K1 is smaller than the threshold value TH8 and the count value K2 is smaller than the threshold value TH9, the error determination unit 23 determines that there is no error in the detection operation of the sensor unit 10. When the count value K1 is greater than the threshold value TH8 or the count value K2 is greater than the threshold value TH9, the error determination unit 23 determines that there is an error in the detection operation.

  In another modified example, the error determination unit 23 may detect an error in the detection operation of the sensor unit 10 when the count value K1 is smaller than the threshold value TH8 or the count value K2 is smaller than the threshold value TH9. If the count value K1 is greater than the threshold value TH8 and the count value K2 is greater than the threshold value TH9, it may be determined that there is an error in the detection operation of the sensor unit 10.

  The input device according to the fifth embodiment described above can achieve the same effects as the input device according to the first embodiment. That is, the presence or absence of an error in detection operation due to noise can be accurately determined according to the degree of temporal change and the degree of positional change of the detection data. In addition, since detection processing of detection data generated in a cycle in which it is determined that there is an error in detection operation due to noise is skipped, the influence of detection error due to noise can be effectively reduced.

  Although various embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and includes various variations.

  For example, each processing block of the processing unit 20 in each embodiment described above may be configured by a computer and a program, or may be configured by using dedicated hardware.

  In the error determination unit 23 of each embodiment described above, the “positional change amount of the detection data” used for calculating the evaluation value is a change amount only in the X direction, but this positional change amount is only in the Y direction. Or may be a change amount in both the X direction and the Y direction (or three or more multi-directions).

  The input device of the present invention is not limited to a user interface device that inputs information by operating a finger or the like. That is, the input device of the present invention is widely applicable to devices that input information according to the proximity state of various objects not limited to the human body to the detection surface.

DESCRIPTION OF SYMBOLS 10 ... Sensor part, 11 ... Sensor matrix, 13 ... Detection data generation part, 14 ... Drive part, 20 ... Processing part, 21 ... Sensor control part, 22 ... Detection data acquisition part, 23 ... Error determination part, 24 ... Detection data Processing unit, 30 ... storage unit, 40 ... interface unit.

Claims (19)

An input device for inputting information according to the proximity state of an object to a detection surface,
A sensor unit that detects the degree of proximity of an object at a plurality of positions on the detection surface and generates detection data indicating the detection result for each of the plurality of positions;
A sensor control unit that controls the sensor unit to perform a periodic detection operation for generating the detection data at the plurality of positions every cycle;
A detection data acquisition unit that acquires the plurality of detection data generated for the plurality of positions for each cycle of the detection operation;
An error determination unit that determines the presence or absence of an error in the detection operation due to noise for each cycle in accordance with the degree of temporal change and the degree of positional change in the detection data;
When the error determination unit determines that there is an error in the detection operation of one cycle, the detection data acquisition unit skips the acquisition process of the detection data generated in the one cycle. apparatus. The error determination unit calculates an evaluation value according to a degree of a positional change in the degree of temporal change of the detection data for each cycle of the detection operation, and the calculated evaluation value is a predetermined value. The input device according to claim 1, wherein when an error determination condition is satisfied, it is determined that there is an error in the detection operation. The error determination unit is a difference in a temporal change amount of the detection data in a plurality of consecutive cycles of the detection operation, and is adjacent to the temporal change amount at one position of the detection surface and the one position. The input device according to claim 2, wherein the evaluation value corresponding to a difference from the temporal change amount in a position is calculated for at least a part of the plurality of positions. The error determination unit calculates an evaluation value according to the degree of temporal change in the positional change of the detection data for each cycle of the detection operation, and the calculated evaluation value is a predetermined value. The input device according to claim 1, wherein when an error determination condition is satisfied, it is determined that there is an error in the detection operation. The error determination unit responds to an amount that a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position is changed in a plurality of consecutive cycles of the detection operation. The input device according to claim 4, wherein the evaluation value is calculated for at least a part of the plurality of positions. The error determination unit compares a sum of the evaluation values calculated for at least a part of the plurality of positions with a predetermined threshold value, and determines whether there is an error in the detection operation according to the comparison result. The input device according to claim 3 or 5. The error determination unit compares the evaluation value calculated for at least a part of the plurality of positions with a predetermined threshold value, and the number of the positions satisfying a predetermined magnitude relationship is predetermined. 6. The input device according to claim 3, wherein when the number reaches the number, it is determined that there is an error in the detection operation. The error determination unit, for each cycle of the detection operation, a first evaluation value according to a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position, And calculating a second evaluation value corresponding to a temporal change amount of the detection data in two consecutive cycles of the detection operation for at least a part of the plurality of positions, and calculating the calculated first evaluation value and second The input device according to claim 1, wherein when the evaluation value satisfies a predetermined error determination condition, it is determined that there is an error in the detection operation. The error determination unit is a result of comparing the sum of the first evaluation values calculated for at least a part of the plurality of positions and a first threshold value, and the calculation for at least a part of the plurality of positions. The input device according to claim 8, wherein presence / absence of an error in the detection operation is determined according to a result of comparing a sum of the second evaluation values and a second threshold value. In the result of comparing the first evaluation value calculated with respect to at least a part of the plurality of positions and the first threshold value, the error determination unit has a predetermined number of the positions satisfying a predetermined magnitude relationship. And / or a result of comparing each of the second evaluation value calculated for at least a part of the plurality of positions with a predetermined second threshold value, satisfies a predetermined magnitude relation condition. The input device according to claim 8, wherein it is determined that there is an error in the detection operation on condition that the number of the positions reaches a predetermined number. A sensor unit that detects the degree of proximity of an object at a plurality of positions on the detection surface and generates detection data indicating the detection result for each of the plurality of positions, and according to the proximity state of the object to the detection surface A computer that controls an input device for inputting information,
Controlling the sensor unit to perform a periodic detection operation for generating the detection data at the plurality of positions every cycle;
Obtaining a plurality of the detection data generated for the plurality of positions for each cycle of the detection operation;
Determining whether there is an error in the detection operation due to noise according to the degree of temporal change and the position change of the detection data for each cycle of the detection operation;
The step of acquiring the detection data skips the acquisition process of the detection data generated in the one cycle when it is determined in the step of determining the error that there is an error in the detection operation of the one cycle. A method for controlling an input device. The step of determining the error calculates an evaluation value corresponding to a degree of positional change in the degree of temporal change of the detection data for each cycle of the detection operation, and the calculated evaluation value is The input device control method according to claim 11, wherein when a predetermined error determination condition is satisfied, it is determined that there is an error in the detection operation. The step of determining the error is a difference in a temporal change amount of the detection data in a plurality of consecutive cycles of the detection operation, wherein the temporal change amount in one position of the detection surface and the one position are determined. The method for controlling an input device according to claim 12, wherein the evaluation value corresponding to a difference from the temporal change amount at an adjacent position is calculated for at least a part of the plurality of positions. The step of determining the error calculates an evaluation value according to a degree of temporal change in the positional change of the detection data for each cycle of the detection operation, and the calculated evaluation value is The input device control method according to claim 11, wherein when a predetermined error determination condition is satisfied, it is determined that there is an error in the detection operation. The step of determining the error is such that a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position is changed in a plurality of consecutive cycles of the detection operation. The input device control method according to claim 14, wherein the corresponding evaluation value is calculated for at least a part of the plurality of positions. The step of determining the error compares the sum of the evaluation values calculated for at least a part of the plurality of positions with a predetermined threshold value, and determines whether there is an error in the detection operation according to the comparison result. The method of controlling an input device according to claim 13 or 15, wherein: The step of determining the error compares the evaluation value calculated for at least a part of the plurality of positions with a predetermined threshold value, and the number of the positions where the comparison result satisfies a predetermined magnitude relationship The control method for an input device according to claim 13 or 15, wherein when the number reaches a predetermined number, it is determined that there is an error in the detection operation. The step of determining the error includes a first evaluation according to a difference between the detection data at one position of the detection surface and the detection data at a position adjacent to the one position for each cycle of the detection operation. A second evaluation value corresponding to a value and a temporal change amount of the detection data in two consecutive cycles of the detection operation is calculated for at least a part of the plurality of positions, and the calculated first evaluation value and The input device control method according to claim 11, wherein when the second evaluation value satisfies a predetermined error determination condition, it is determined that there is an error in the detection operation.   A program for causing a computer to execute the method for controlling an input device according to any one of claims 11 to 18.