JP2019156263A - Operation position detector - Google Patents

Abstract

To provide an operation position detector comprising optimization means which can detect an optimal touch position according to a user state.SOLUTION: An operation position detector 1 comprises: an operation position detection part 10 for detecting an operation position; a user state determination information detection part 20 for detecting user state determination information for determining a state of a user who operates the operation position detection part 10; and a control part 30 comprising optimization means for, based on the user state determination information, optimizing an algorithm for detecting an operation position of the operation position detection part 10. Therefore, according to the state of the user, an optimal touch position can be detected.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an operation position detection device.

  As a conventional technique, an operation position detection device that detects a position touched by a finger is disclosed (for example, see Patent Document 1).

  The operation position detection device includes a touch detection unit that measures an electrical influence due to the approach of a conductive object at each of a plurality of measurement points in a region where a touch is detected, and the plurality of measurements according to a parameter including touch coordinates. A parameter that minimizes the sum of squares of errors between the detection signal values measured at the plurality of measurement points and the values calculated by the function for the measurement points, based on a function for obtaining the respective theoretical values of the points. A coordinate calculation unit that obtains touch coordinates by obtaining the coordinates.

JP 2014-153936 A

  However, in the prior art, the coordinate calculation unit for obtaining touch coordinates calculates a position touched by a finger using a fixed algorithm. Since the calculation of such a touch position changes depending on the state of the user, there is a problem that the user's discomfort may increase with the fixed algorithm.

  Therefore, an object of the present invention is to provide an operation position detection device including an optimization unit that enables optimal touch position detection according to a user state.

[1] In order to achieve the above object, an operation position detection unit that detects an operation position, and a user state determination information detection unit that detects user state determination information for determining the state of a user who operates the operation position detection unit And an operation position detection device including an optimization unit that optimizes an algorithm for detecting an operation position of the operation position detection unit based on the user state determination information.
[2] The operation position detection device according to the above [1], wherein the optimization unit is AI, deep learning, or machine learning.
[3] The operation position detection device according to [1] or [2], wherein the optimization unit is selectable by the user.
[4] The operation position detection device according to any one of [1] to [3], wherein the operation position is a touch position.
[5] The operation position detection device according to any one of [1] to [4], wherein the operation position detection unit is mounted on a vehicle.

  According to the operation position detection device according to the embodiment of the present invention, it is possible to include optimization means that enables optimal touch position detection according to the user state.

FIG. 1 is an overall configuration diagram of an operation position detection apparatus according to an embodiment of the present invention. FIG. 2 is a schematic perspective view of the passenger compartment when the operation position detection device according to the embodiment of the present invention is mounted on a vehicle. FIG. 3A is a schematic diagram of the operation position detection device 1 in which a steering touch pad is attached to the steering as the operation position detection unit, and FIG. 3B is a plan view illustrating a schematic configuration of the steering touch pad. FIG. 3C is a diagram showing a distribution of capacitance values of the touch sensor in FIG. In FIG. 3C, the numerical value indicates the above-described capacitance count value, and the capacitance value is zero in an area where no numerical value is described.

(Embodiment of the present invention)
An operation position detection device 1 according to an embodiment of the present invention detects an operation position detection unit 10 that detects an operation position, and user state determination information for determining the state of a user who operates the operation position detection unit 10. The user state determination information detection unit 20 and a control unit 30 including an optimization unit that optimizes an algorithm for detecting the operation position of the operation position detection unit 10 based on the user state determination information. ing.

  In the present embodiment, a case will be described in which the operation position is a touch position and the user touches the operation position detection unit 10 with a finger. The operation position may be a proximity position (x, y position) or the like in a close state when a detection target such as a user's finger is close to the operation position detection unit 10.

  In the operation position detection apparatus 1 according to the present embodiment, the optimization of the algorithm for detecting the operation position means that an optimal algorithm is selected as an algorithm for executing processing based on the user state determination information, and the selected algorithm The operation position is detected by the selected algorithm while changing the parameter in the list based on the user state determination information. The controller device 1 according to the present embodiment can apply AI or the like to an algorithm for selecting an optimal algorithm, and can apply AI or the like to the selected algorithm itself.

(Outline of this embodiment)
FIG. 1 is an overall configuration diagram of an operation position detection apparatus according to an embodiment of the present invention. The operation position detection device 1 includes a plurality of detection units (touch pad 12, touch panel 14 (screen touch input device), steering touch pad 16) as the operation position detection unit 10. Further, as a user state determination information detection unit 20 for detecting user state determination information, a steering grip detection unit 21, a steering grip position detection unit 22, a driver monitor information detection unit 23, a user information unit 24, a sheet position detection unit 25, a touch Various discriminating information and discriminating information detection units such as the pad outer peripheral area detection unit 26 are provided.

  Moreover, it has one or a plurality of algorithms used for detecting the operation position in each detection unit, and the control unit 30 detects the operation position corresponding to each detection unit by AI, deep learning, machine learning, or the like. The touch position is calculated by selecting an algorithm based on the user state determination information. Further, the control unit 30 corrects the parameter in the algorithm selected based on the user state determination information by AI, deep learning, machine learning, or the like. By providing such an optimization unit, it is possible to provide an operation position detection device including an optimization unit that enables optimal touch position detection according to the user state.

  In the operation position detection device 1 according to the present embodiment, as an algorithm for detecting the touch position, an algorithm that uses the coordinate of the maximum value in the capacitance value distribution as the touch position, and the barycentric position based on the capacitance value distribution For determining the touch position by moving and correcting the touch position in the two-dimensional direction based on the user state determination information, and 2 for determining the touch position based on the user state determination information. There are algorithms for determining the touch position by correcting the movement in the dimensional direction.

  In the operation position detection apparatus 1 according to the present embodiment, the above-described algorithm selection, parameter value change in the selected algorithm, and the like can be performed using AI, deep learning, machine learning, or the like. it can.

AI (Artificial Intelligence) is an expert system that obtains a conclusion by applying an inference function. Expert systems can process large amounts of known information and provide conclusions based on them. For example, the operation position detecting unit 10 is steering the touchpad 16, when the user status judgment information is the steering grip position information S _P, it recognizes certain features from the steering grip position information S _P, on the basis of this, the steering The touch position on the touch pad 16 can be corrected to be the touch position. The fixed features are those obtained by learning the relationship between the steering grip position and the touch position on the steering touch pad 16 as a fixed feature in advance.

  Machine learning is one of AI methods, and is a technology / method that attempts to realize functions similar to the learning ability that humans naturally perform on a computer. Analyzes are performed by inputting a certain number of sample data sets from sensors, databases, etc., and useful rules, rules, knowledge expressions, judgment criteria, etc. are extracted from the data, and the algorithm is developed. Machine learning is a research field that gives computers the ability to learn without explicit programming, or that computer programs learn from experience in certain tasks and evaluation measures, as assessed by their performance in tasks In some cases, it is defined as a case where it has been improved by experience. Machine learning algorithms are classified as follows according to required results. Many techniques such as neural networks, genetic programming, inductive logic programming, clustering, reinforcement learning, etc. have been developed.

  Deep learning (deep learning) is a machine learning technique using a multilayer neural network.

(Operation position detection unit 10)
The operation position detection unit 10 can include a plurality of devices such as a touch pad 12, a touch panel 14 (screen touch input device), and a steering touch pad 16 as detection units.

As shown in FIG. 1, the touch pad 12 outputs the touch-operated position by a finger as a detection signal S _1, for performing a remote operation by performing display of the cursor or the like on the display unit based on the positional information Input device. The touch panel 14, the display unit and the touch pad is mounted on top, it outputs the touched position by the finger as the detection signal S _2, the menu displayed on the display unit, touch an icon or the like, the tracing operation or the like Thus, the screen touch input device can display a cursor or the like at the operated position on the display unit. The steering touch pad 16 is a touch pad attached to the steering of the vehicle. Steering touchpad 16, a touch pad described above is mounted on a steering, and outputs the touch-operated position by a finger as a detection signal S _3, the driver for the touch operation with the thumb in a state of gripping the steering with fingers It is an input device.

(User state determination information detection unit 20)
As a user state determination information detection unit 20 for detecting user state determination information, a steering grip detection unit 21, a steering grip position detection unit 22, a driver monitor information detection unit 23, a user information unit 24, a sheet position detection unit 25, a touch pad outer periphery Various discrimination information such as the area detection unit 26 and a discrimination information detection unit can be provided.

The steering grip detection unit 21 is a steering grip detection signal S _H , the steering grip position detection unit 22 is a steering grip position detection signal S _P , the driver monitor information detection unit 23 is a driver monitor information detection signal S _D , and the user information unit 24 is user information. The signal S _U , the sheet position detector 25 outputs the sheet position detection signal S _S , and the touch pad outer periphery area detector 26 outputs the touch pad outer periphery area detection signal S _A to the controller 30.

  By the above various detections, in the operation position detection device 1 according to the present embodiment, as the user state determination information, steering grip presence / absence information, steering grip position information, seat position information, touch pad outer peripheral area information, user physique information, age Information, driver monitor information (biological information), etc. can be acquired.

(Control unit 30)
The control unit 30 is configured by, for example, a microcomputer including a detection control unit 32, a position detection control unit 34, an optimization execution unit 36 that executes optimization means, and the like. The operation position detection apparatus 1 includes a CPU (Central Processing Unit) that performs operations and processes on acquired data according to a stored program, a RAM (Random Access Memory) that is a semiconductor memory, a ROM (Read Only Memory), and the like. Is done. As shown in FIG. 1, the operation position detection apparatus 1 does not need to be configured integrally with the detection control unit 32, the position detection control unit 34, the optimization execution unit 36, and the like, for example, the detection control unit 32. The optimization execution unit 36 may use an external chip, and the storage unit may use an external memory.

  The detection control unit 32 performs a process of detecting whether or not the touch pad 12, the touch panel 14, and the steering touch pad 16 are touched. The position detection control unit 34 performs processing for detecting a touch position on the touch pad 12, the touch panel 14, and the steering touch pad 16. In addition, the optimization execution unit 36 performs processing for optimizing an algorithm for detecting the operation position based on various user state determination information detected by the user state determination information detection unit 20.

  FIG. 2 is a schematic perspective view of the passenger compartment when the operation position detection device 1 according to the embodiment of the present invention is mounted on a vehicle. FIG. 3A is a schematic diagram of the operation position detection device 1 in which the steering touch pad 16 is attached to the steering as the operation position detection unit. For example, as shown in FIG. 2, the touch pad 12 is attached to an instrument panel 81 of the vehicle 8. The touch panel 14 (screen touch input device) is attached to the center console 82 of the vehicle 8. Further, the steering touch pad 16 is attached to a portion of the steering 83 that can be operated even when the driver (driver) holds the steering 83.

  Further, as the user state determination information detection unit 20, a steering grip detection unit 21, a steering grip position detection unit 22, a driver monitor information detection unit 23, a seat position detection unit 25, and a touch pad outer periphery area detection unit 26 are provided in the driver's seat and its surroundings. Is provided.

  The steering touch pad 16 periodically switches the connection of the detection electrode 162 while a drive signal is supplied to one drive electrode 161 constituting the two-dimensional touch sensor, and the drive electrode and the detection electrode that are arranged to cross each other. Capacitance values (mutual capacitance values) generated at the intersections are read out. As an example, a capacitance signal Sc is generated as a capacitance count value obtained by performing analog / digital conversion processing on the read capacitance, and is output to the control unit 30. Accordingly, the capacitance at the two-dimensional position (x, y) of the two-dimensional touch sensor can be detected as a capacitance distribution, and the contact (touch) or proximity of the finger to the steering touch pad 16 can be detected. Can do. The coordinates of the center or the center of gravity of the area that is equal to or greater than the touch threshold can be used as the touch point.

  Further, the steering touch pad 16 detects the touch position of the nearby finger 100, in this embodiment, the thumb 101 from the distribution of the capacitance signal Sc. As shown in FIG. 3C, the distribution of capacitance values is detected according to the shape of the thumb 101. In the case shown in FIG. 3C, a large capacitance is detected at the coordinates corresponding to the position of the thumb 101, a small capacitance value is detected at a portion corresponding to another finger portion, and the thumb 101 is detected. The capacitance value is zero in a region that is not adjacent.

The steering touch pad 16 can detect the coordinate (Xa, Ya) having the largest capacitance value as the touch position 110 of the thumb 101 from the detection result shown in FIG. Further, weighting is performed by the product of the capacitance value and the coordinate value, and the gravity center coordinates (X _G , Y _G ) are calculated by dividing by X and Y, and the gravity center position of the thumb 101 is detected as the touch position. You can also. In the present embodiment, the coordinate having the largest capacitance value will be described below as the touch position.

(Operation example of the operation position detection device 1)
As shown in FIG. 3A, a steering grip position detection unit 22 for detecting a position where the driver grips the steering wheel 83 with his / her finger 100 is mounted on the steering 83. As shown in FIG. 3A, the steering grip position detection unit 22 includes, for example, touch electrodes 22a, 22b, 22c, 22d, and 22e for detecting the grip position of the right hand. When the hand grips the steering wheel 83, the finger 100 is attached to a place where the finger 100 is in contact with or close to the finger.

  As shown in FIG. 3A, consider a case where the driver touches the steering touch pad 16 with the thumb 101 while holding the steering wheel 83 with the finger 100. As described above, the steering touch pad 16 can detect, for example, the coordinate having the largest capacitance value as the touch position of the thumb 101.

On the other hand, the steering grip position detection unit 22 can detect the steering grip position using the touch electrodes 22a, 22b, 22c, 22d, and 22e. Steering grip position detection signal _{S P} is 1 or 2 or more touch electrodes 22a, 22b, 22c, 22d, as 22e of the ON signal is outputted to the control unit 30.

Control unit 30, the optimization execution unit 36, based on the steering grip position detection signal S _P, select an algorithm for determining a touch position detected by the steering touchpad 16, also performs the parameters such as correction in the algorithm be able to.

The optimization execution unit 36 is, for example, various signals (steering grip detection signal S _H , steering grip position detection signal S _P , driver monitor information detection signal S _D , user information signal acquired by the user state determination information detection unit 20. Based on S _U , the sheet position detection signal S _S , and the touch pad outer peripheral area detection signal S _A ), an algorithm for detecting the operation position is optimized.

  For example, the optimization execution unit 36 may select a basic algorithm such as an algorithm that uses the maximum value in the distribution of capacitance values as the touch position, and an algorithm that uses the center of gravity position in the distribution of capacitance values as the touch position. it can. This algorithm can be selected by utilizing AI, deep learning, machine learning, or the like.

  Note that the above-described AI, deep learning, machine learning, or the like, which is an optimization unit, may be configured to be selectable by the user.

Further, when the algorithm that selects the center of gravity position as the touch position is selected, the optimization execution unit 36 calculates the touch based on, for example, the steering grip position detection signal S _P , the sheet position detection signal S _S , and the like. The weight parameter for calculating the position can be changed. As an example, it is possible to change parameters such as moving the touch position by a predetermined amount in the position direction of the steering grip position detection signal S _P (the ON signals of the touch electrodes 22a, 22b, 22c, 22d, and 22e). Further, based on the seat position detection signal S _S , parameters can be changed in consideration of the driver's seating position and posture.

These optimizations are performed in advance by a steering grip detection signal S _H , a steering grip position detection signal S _P , a driver monitor information detection signal S _D , a user information signal S _U , a seat position detection signal S _S , and a touch pad outer periphery area detection signal. it can be set on the basis of the S _a.

As another example of optimization, optimization using a driver monitor information detection signal S _D (biological information) is also possible. The biometric information based on the driver monitor information detection signal _SD is used as an evaluation function, and an optimal solution is obtained while selecting an algorithm for calculating a result that maximizes or minimizes the evaluation function and changing parameters used in the algorithm. It is a technique to search for. As the biological information related to the driver, for example, biological information such as a heart rate is measured, and a value based on a difference from the reference value (steady value) of the heart rate is defined as an evaluation function. The controller 30 can be optimized by the optimization execution unit 36 so that, for example, the evaluation function detected from the biological information of the driver that reacts to the detected value of the touch position is minimized.

(Effect of embodiment)
The embodiment of the present invention has the following effects.
(1) The operation position detection device 1 according to the embodiment of the present invention includes an operation position detection unit 10 that detects an operation position and user state determination information for determining the state of a user who operates the operation position detection unit 10. A user state determination information detecting unit 20 for detecting the operation state, and a control unit 30 including an optimization unit for optimizing an algorithm for detecting the operation position of the operation position detection unit 10 based on the user state determination information. Configured. The control unit 30 calculates an operation position by selecting an operation position detection algorithm corresponding to each detection unit based on the user state determination information by AI, deep learning, machine learning, or the like. Further, the control unit 30 corrects the parameter in the algorithm selected based on the user state determination information by AI, deep learning, machine learning, or the like. By providing such an optimization unit, it is possible to provide an operation position detection device including an optimization unit that enables optimal touch position detection according to the user state.
(2) Optimization can derive, store and output each optimum control value in all states of the discrimination state. Deriving optimal control values in discrete states, which are a combination of several patterns for each state, and outputting them using an output algorithm that outputs optimal control values for all states using AI, deep learning, and machine learning Can do. Thereby, the optimal touch position detection algorithm by a user state can be provided.

  As mentioned above, although some embodiment of this invention was described, these embodiment is only an example and does not limit the invention which concerns on a claim. Moreover, these novel embodiments can be implemented in various other forms, and various omissions, replacements, changes, and the like can be made without departing from the scope of the present invention. In addition, not all the combinations of features described in these embodiments are essential to the means for solving the problems of the invention. Furthermore, these embodiments are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1 ... Operation position detection apparatus, 8 ... Vehicle, 10 ... Operation position detection part, 12 ... Touch pad, 14 ... Touch panel, 16 ... Steering touch pad, 20 ... User state discrimination information detection part, 21 ... Steering grip detection part, 22 Steering grip position detection unit, 22a, 22b, 22c, 22d, 22e ... Touch electrode, 23 ... Driver monitor information detection unit, 24 ... User information unit, 25 ... Sheet position detection unit, 26 ... Touch pad outer area detection unit, DESCRIPTION OF SYMBOLS 30 ... Control part, 32 ... Detection control part, 34 ... Position detection control part, 36 ... Optimization execution part, 81 ... Instrument panel, 82 ... Center console, 83 ... Steering, 100 ... Finger, 101 ... Thumb, 110 ... Touch position, 161 ... drive electrode, 162 ... detection electrode

Claims (5)

An operation position detector for detecting the operation position;
A user state determination information detection unit for detecting user state determination information for determining a state of a user who operates the operation position detection unit;
A control unit comprising optimization means for optimizing an algorithm for detecting the operation position of the operation position detection unit based on the user state determination information;
An operation position detecting device having   The operation position detection device according to claim 1, wherein the optimization unit is based on AI, deep learning, or machine learning.   The operation position detection device according to claim 1, wherein the optimization unit is selectable by the user.   The operation position detection device according to claim 1, wherein the operation position is a touch position.   The operation position detection device according to claim 1, wherein the operation position detection unit is mounted on a vehicle.

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