CN106445120A - Touch operation identification method and apparatus - Google Patents

Touch operation identification method and apparatus Download PDF

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Publication number
CN106445120A
CN106445120A CN201610809256.6A CN201610809256A CN106445120A CN 106445120 A CN106445120 A CN 106445120A CN 201610809256 A CN201610809256 A CN 201610809256A CN 106445120 A CN106445120 A CN 106445120A
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CN
China
Prior art keywords
touch
control
capacitance
touch control
digitorum manus
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CN201610809256.6A
Other languages
Chinese (zh)
Inventor
邱晨
姚建江
熊林强
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华为技术有限公司
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Priority to CN201610809256.6A priority Critical patent/CN106445120A/en
Publication of CN106445120A publication Critical patent/CN106445120A/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0414Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means using force sensing means to determine a position
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0416Control or interface arrangements specially adapted for digitisers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/044Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by capacitive means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/041Indexing scheme relating to G06F3/041 - G06F3/045
    • G06F2203/04105Pressure sensors for measuring the pressure or force exerted on the touch surface without providing the touch position

Abstract

The invention discloses a touch operation identification method and apparatus, and belongs to the technical field of electronics. The method can be applied to an intelligent device. The intelligent device comprises a touch screen. The intelligent device can obtain touch data generated by touch operation after receiving the touch operation through the touch screen, and identify the type of the touch operation according to the touch data, wherein the type of the touch operation includes finger joint touch or non finger joint touch, and the touch data comprises a capacitance value of the touch screen after the touch operation is received, a pressure value generated for the touch screen by the touch operation, and an acceleration value generated by the intelligent device through the touch operation. Compared with related technologies in which only the position of a contact point on which the touch operation acts can be identified, the method provided by the invention has the advantages that a touch operation identification mode of the intelligent device is enriched, so that the flexibility of controlling the intelligent device through the touch operation is improved.

Description

The recognition methodss of touch control operation and device

Technical field

The present invention relates to electronic technology field, particularly to a kind of recognition methodss of touch control operation and device.

Background technology

With scientific and technical development, begin with touch screen in increasing smart machine so that user can be square Smart machine is controlled by touch control operation just.

In correlation technique, when user finger near or contact touch screen surface when, can between finger and touch screen To form a coupled capacitor so that the contact point of the current direction finger that sends of the electrode on touch screen four side and touch screen, intelligence Can the ratio of electric current that can be sent according to the electrode on this four side of equipment and degree of strength, calculate contact point on the touchscreen Position, so that smart machine can execute corresponding action according to the position of this contact point, for example, starts display at touch point Application program corresponding to application icon.

But, after the smart machine in correlation technique receives touch control operation, can only be to the contact of this touch control operation effect The position of point is identified, more single to the recognition method of this touch control operation.

Content of the invention

More single to the recognition method of touch control operation in correlation technique in order to solve the problems, such as, the invention provides a kind of The recognition methodss of touch control operation and device.Described technical scheme is as follows:

A kind of first aspect, there is provided recognition methodss of touch control operation, the method can apply in smart machine, this intelligence Touch screen can be included by equipment, the method includes:

Smart machine, after this touch screen receives touch control operation, obtains touch data produced by this touch control operation, This touch data can include:After receiving this touch control operation, the capacitance of this touch screen, this touch control operation produce to this touch screen Raw pressure value and this touch control operation make the accekeration that this smart machine produces;Afterwards, smart machine can be according to this acquisition The touch data arriving, identifies the type of this touch control operation, and the type of this touch control operation can include articulations digitorum manus touch-control or non-finger Joint touch-control.

Scheme shown in the embodiment of the present invention, because according to the touch data getting, smart machine can identify that this touches The type of control operation is articulations digitorum manus touch-control is also non-articulations digitorum manus touch-control, therefore enriches the identification side to touch control operation for the smart machine Formula is so that user can carry out the touch-control of different modes by different types of touch control operation to smart machine, thus improve Motility when user is controlled to smart machine by touch control operation.

Optionally, according to this touch data, identify the type of this touch control operation, including:Judge whether this touch data is full The condition of toe joint touch-control;When this touch data meets the condition of articulations digitorum manus touch-control, determine that the type of this touch control operation is Articulations digitorum manus touch-control;When this touch data is unsatisfactory for the condition of articulations digitorum manus touch-control, determine that the type of this touch control operation is that non-finger closes Section touch-control;Wherein, the condition of this articulations digitorum manus touch-control can include:The capacitance of this touch screen is in the range of predetermined capacitive, should Pressure value is in pre-set pressure range, and this accekeration is in the range of predetermined acceleration.

Touch data acquired in smart machine not only includes the capacitance of touch screen, also includes pressure transducer and detects Pressure value and the accekeration that detects of acceleration transducer, the type of this touch data compared with horn of plenty, therefore according to should Touch data identifies that the accuracy during type of touch control operation is higher.

Optionally, smart machine obtains touch data produced by this touch control operation, specifically can include:Obtain and connecing Touch data after receiving this touch control operation, in preset time period;Before the type of this this touch control operation of identification, the method is also Including:Respectively feature extraction is carried out to capacitance, pressure value and the accekeration getting in this preset time period, obtain this electricity The eigenvalue of the eigenvalue of capacitance, the eigenvalue of this pressure value and this accekeration;The condition of this articulations digitorum manus touch-control also includes:Should The eigenvalue of capacitance is in the first preset range, and the eigenvalue of this pressure value is in the second preset range, and this acceleration The eigenvalue of angle value is in the 3rd preset range.Wherein, the eigenvalue that this smart machine extracts can include:Peak value, average, At least one in variance, extreme point quantity, change frequency and signal energy.

Due to carrying out after feature extraction to touch data, the effective information in this touch data can be extracted, removing should Redundancy in touch data, efficiency when therefore the eigenvalue according to this extraction is identified to the type of touch control operation and Accuracy rate is higher.

Optionally, smart machine is carried out to the capacitance obtaining in this preset time period, pressure value and accekeration respectively The process of feature extraction specifically can include:

Respectively pretreatment is carried out to the capacitance obtaining in this preset time period, pressure value and accekeration;Respectively to pre- This capacitance after process, this pressure value and this accekeration carry out feature extraction;Wherein, this pretreatment includes down-sampled and filter At least one in ripple.Down-sampled and filtering after carry out feature extraction again, the noise in raw touch data can be filtered, also may be used To reduce amount of calculation during feature extraction.

Optionally, obtain the detailed process of touch data produced by this touch control operation can include:

Judge after receiving this touch control operation, whether the variable quantity of the capacitance of this touch screen is in default excursion Interior;When this variable quantity is in default excursion, obtain touch data produced by this touch control operation.Only work as touch When the variable quantity of the capacitance of screen is in default excursion, smart machine just triggers the stream that this touch control operation is identified Journey, reduces the probability of false triggering, it is to avoid false triggering takies excessive memory source.

Optionally, this touch data also includes:This touch control operation acts on the coordinate of the touch point on this touch screen;At this According to this touch data, after identifying the type of this touch control operation, the method can also include:Coordinate according to this touch point with And the type of this touch control operation, execute the action indicated by this touch control operation.

Optionally, this non-articulations digitorum manus touch-control can include any one in fingernail touch-control, finger pulp touch-control and pointer touch-control.

Scheme shown in the embodiment of the present invention, smart machine not only can identify the touch point that touch control operation is acted on Position, may recognize that the particular type of this touch control operation, therefore enriches the identification side to this touch control operation for the smart machine Formula is so that user can carry out the control of different modes by different types of touch control operation to smart machine, thus improve Motility when smart machine being controlled by touch control operation.

Second aspect, the invention provides a kind of identifying device of touch control operation, this device can apply to smart machine In, this smart machine includes touch screen, and the identifying device of this touch control operation includes at least one module, and this at least one module is used In the recognition methodss realizing the touch control operation that above-mentioned first aspect is provided.

The third aspect, there is provided the identifying device of another kind of touch control operation, this device can include:Processor, memorizer And bus;This bus is used for connecting this processor and this memorizer, and this processor is used for executing the program of storage in this memorizer, This program can include the recognition methodss of the touch control operation that first aspect is provided.

A kind of fourth aspect, there is provided computer-readable storage medium, for saving as the identifying device institute of above-mentioned touch control operation Computer software instructions, it comprises for executing the program designed by the identifying device that the third aspect is touch control operation.

The technique effect technology corresponding with first aspect that the embodiments of the present invention second are obtained to fourth aspect The technique effect that means are obtained is approximate, repeats no more here.

In sum, the beneficial effect that technical scheme provided in an embodiment of the present invention is brought is:

Smart machine, after receiving touch control operation, can obtain touch data produced by this touch control operation, and root According to the type that this touch data identifies this touch control operation be articulations digitorum manus touch-control be also non-articulations digitorum manus touch-control, compared in correlation technique The position of the contact point that touch control operation is acted on can only be identified, this recognition methods enriches the identification to touch control operation for the smart machine Mode is so that user can carry out the control of different modes by different types of touch control operation to smart machine, thus improving Motility when smart machine being controlled by touch control operation.

Brief description

For the technical scheme being illustrated more clearly that in the embodiment of the present invention, will make to required in embodiment description below Accompanying drawing be briefly described it should be apparent that, drawings in the following description are only some embodiments of the present invention, for For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings Accompanying drawing.

Fig. 1 is a kind of Organization Chart of smart machine provided in an embodiment of the present invention;

Fig. 2 is a kind of structural representation of the identifying device of touch control operation provided in an embodiment of the present invention;

Fig. 3-1 is a kind of flow chart of the recognition methodss of touch control operation provided in an embodiment of the present invention;

Fig. 3-2 is a kind of oscillogram of the accekeration of smart machine provided in an embodiment of the present invention;

Fig. 3-3 is a kind of distribution schematic diagram of the capacitance of touch screen provided in an embodiment of the present invention;

Fig. 3-4 is the distribution schematic diagram of the capacitance of another kind touch screen provided in an embodiment of the present invention;

Fig. 3-5 is the oscillogram of the accekeration of another kind smart machine provided in an embodiment of the present invention;

Fig. 3-6 is the distribution schematic diagram of the capacitance of another touch screen provided in an embodiment of the present invention;

Fig. 3-7 is the method flow diagram that a kind of smart machine provided in an embodiment of the present invention is processed to touch data;

Fig. 4 is the structural representation of the identifying device of another kind touch control operation provided in an embodiment of the present invention.

Specific embodiment

For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to embodiment party of the present invention Formula is described in further detail.

Fig. 1 is a kind of Organization Chart of smart machine provided in an embodiment of the present invention, as shown in figure 1, this smart machine is permissible Including touch screen 10, be arranged on this touch screen 10 away from display plane side pressure transducer 20, be arranged on this smart machine In acceleration transducer 30 and signal processing module 40.Wherein touch screen 10 is used for the touch control operation of receive user, pressure Sensor 20 is used for the pressure value that detection acts on this touch screen 10, and this acceleration transducer 30 is used for detecting this smart machine Accekeration, this signal processing module 40 can obtain capacitance, this pressure value and this accekeration of this touch screen etc. Touch data, and according to this touch data, the type of touch control operation is identified.

Refer to Fig. 2, it illustrates a kind of knot of the identifying device of touch control operation that exemplary embodiment of the present is related to Structure schematic diagram.This device can apply in the smart machine shown in Fig. 1.As shown in Fig. 2 the identifying device of this touch control operation can To include:At least one processor 201 (such as CPU), at least one network interface 202 or other communication interfaces, memorizer 203 are used for realizing the connection communication between these devices with least one communication bus 204, this communication bus 204.Processor 201 be used for executing in memorizer 203 the executable module of storage, such as computer program, and the function of this processor 201 with In Fig. 1, the function of signal processing module 40 is same or similar.Memorizer 203 may comprise high-speed random access memory (RAM: RandomAccess Memory) it is also possible to also include non-labile memorizer (non-volatile memory), such as extremely A few disk memory.By at least one network interface 202 (can be wired or wireless) realize this smart machine with Communication connection between at least one other network element, for example, can use the Internet, wide area network, LAN, Metropolitan Area Network (MAN) etc..

In some embodiments, memorizer 203 stores program 2031, and processor 201 can execute this program 2031 To realize the recognition methodss of following touch control operations.

Embodiments provide a kind of recognition methodss of touch control operation, the method can apply to the intelligence shown in Fig. 1 In energy equipment, with reference to Fig. 3-1, the method can include:

Step 101, smart machine receive touch control operation by touch screen.Execution step 102.

In embodiments of the present invention, this touch screen can be capacitance plate, when user by the finger pulp of finger, fingernail or refers to The positions such as joint are close, when touching or tapping this capacitance plate, this smart machine can receive this touch-control by this capacitance plate Operation.

Step 102, smart machine judge that, after receiving this touch control operation, the variable quantity of the capacitance of this touch screen whether It is in default excursion.

When this variable quantity is in default excursion, execution step 103;When this variable quantity is not at default change model When enclosing interior, terminate the identification process to this touch control operation.

Smart machine is after touch screen receives touch control operation, electric due to can form coupling between human body and touch screen Hold, so that the capacitance of capacitance plate changes, in embodiments of the present invention, in order to avoid false triggering, in smart machine Triggering threshold value (i.e. this default excursion) can be previously provided with, the capacitance that smart machine detects touch screen becomes It can be determined that whether this variable quantity is in this default excursion during change, if being in this default excursion, execution step 103, that is, start the type of this touch control operation is identified;If this variable quantity is not at this default excursion, intelligence sets Standby can determine that this touch control operation is maloperation, and terminate the identification process to this touch control operation, thus effectively reducing intelligence The probability that equipment is misidentified to maloperation, it is to avoid excessive memory source is taken to the misrecognition of this maloperation.

In actual applications, this default excursion can be according to the practical application scene of this smart machine, smart machine Entity structure and the type of this touch screen be configured, the embodiment of the present invention is to the concrete scope of this default excursion not Limit.

Step 103, smart machine obtain the touch data after receiving this touch control operation, in preset time period.Execution Step 104.

This touch data can include:Receive after this touch control operation the capacitance of this touch screen, this touch control operation to this The pressure value that touch screen produces and this touch control operation make the accekeration that this smart machine produces.

Understand with reference to Fig. 1, pressure transducer and acceleration transducer can be provided with due in this smart machine, therefore should Smart machine can obtain, by this pressure transducer, the pressure value that this touch control operation produces to touch screen, and passes through this acceleration Sensor obtains the accekeration that this touch control operation makes this smart machine produce.Further, since touch control operation is produced touching Data is not changeless, but change over time, therefore, this touch-control is grasped according to this touch data to improve Accuracy of identification when being identified, this smart machine can obtain after receiving this touch control operation, in preset time period Touch data, this preset time period can be the detection duration pre-setting in this smart machine.

Example it is assumed that a length of 0.5 second during this detection, then after this smart machine can obtain and receive this touch control operation, Touch data in 0.5 second, the accekeration a t change in time of the smart machine that Fig. 3-2 is collected by acceleration transducer Curve chart, with reference to Fig. 3-2, if this smart machine in t1 reception to touch control operation, this smart machine can obtain t1 In moment to t1+0.5 moment, the accekeration that acceleration transducer is collected, that is to say, in Fig. 3-2 shown in dotted line inframe Data.

It should be noted that in embodiments of the present invention, the capacitance of the touch screen acquired in this smart machine can wrap Include the capacitance of each pixel on smart machine display screen.Fig. 3-3 is each on a kind of touch screen provided in an embodiment of the present invention The plane distribution schematic diagram of the capacitance of individual pixel, wherein, the x-axis direction of arrow can be the grid line scanning side of this display screen To the y-axis direction of arrow can be the data line scanning direction of display screen, and this x-axis and y-axis place plane can be this smart machine Display screen or touch screen plane, the depth of in figure color is used for indicating the size of capacitance, wherein color is deeper (fills out Fill pattern more intensive) area capacitance value less, the capacitance in the more shallow region of color is bigger.Fig. 3-4 is on a kind of touch screen The three-dimensional distribution schematic diagram of the capacitance of each pixel, in Fig. 3-4, the x-axis direction of arrow can be the grid of smart machine display screen Line scanning direction, the y-axis direction of arrow can be the data line scanning direction of this display screen, and x-axis and y-axis place plane can be for being somebody's turn to do The display screen of smart machine or the plane of touch screen, z-axis is used for indicating the size of capacitance.

Step 104, smart machine judge whether this touch data meets the condition of articulations digitorum manus touch-control.

When this touch data meets the condition of articulations digitorum manus touch-control, execution step 105;It is discontented with toe when this touch data to close During the condition of section touch-control, execution step 106.Wherein, the condition of this articulations digitorum manus touch-control includes:The capacitance of this touch screen is in pre- If in capacitance range, this pressure value is in pre-set pressure range, and this accekeration is in the range of predetermined acceleration.

In embodiments of the present invention, can be stored with this smart machine predetermined capacitive scope, pre-set pressure range and pre- If acceleration range, above-mentioned preset range can obtain according to machine learning algorithm.For example, it is possible to touch to smart machine Touch screen and carry out multiple touch-control experiment, be respectively adopted the articulations digitorum manus of finger, other positions (such as fingernail or finger pulp) of finger every time Or pointer touches to touch screen, after then detecting each touch control operation, the capacitance of touch screen, pressure value and plus The size of the touch datas such as velocity amplitude, finally to articulations digitorum manus touch control operation and touch data produced by non-articulations digitorum manus touch control operation Classified and counted, determined the scope residing for touch data produced by each type of touch control operation.

Example, can be respectively, shown in Fig. 3-2 and Fig. 3-4, the acceleration that articulations digitorum manus touch-controls makes smart machine produce The distribution of capacitance values of smart machine touch screen, can distinguish shown in Fig. 3-5 and Fig. 3-6 after change waveform and articulations digitorum manus touch-control Make the change waveform of acceleration and the distribution of capacitance values of touch screen of smart machine generation for finger pulp touch-control.Comparison diagram 3-2 and Fig. 3-5 understands, compared to finger pulp touch-control, articulations digitorum manus touch-control makes the amplitude of variation of the accekeration of smart machine generation larger, becomes The frequency changed is higher;Comparison diagram 3-4 and Fig. 3-6 understands, compared to finger pulp touch-control, after receiving articulations digitorum manus touch-control, touch screen Capacitance is larger.It follows that produced by different types of touch control operation, between touch data, there is some difference, according to machine Device learning algorithm, can accurately count the scope residing for touch data produced by each type of touch control operation.

In embodiments of the present invention, can be stored with this smart machine different types of touch control operation as shown in table 1 Scope residing for corresponding touch data, for example, when touch control operation is articulations digitorum manus touch-control, the model residing for the capacitance of touch screen Enclose for [C1, C2], this articulations digitorum manus touch control operation is [P1, P2] to the scope of pressure value produced by touch screen, this articulations digitorum manus touches It is [A1, A2] that control operation makes the scope of accekeration produced by smart machine.According to table 1, the bar of this articulations digitorum manus touch-control Part can be:The capacitance of touch screen is in predetermined capacitive scope [C1, C2], pressure value be in pre-set pressure range [P1, P2] in, and accekeration is in predetermined acceleration scope [A1, A2].

Table 1

It should be noted that in actual applications, this predetermined capacitive scope, pre-set pressure range and this acceleration model Enclose, in the difference of the internal structure according to smart machine and smart machine setting the difference of the type of each sensor and have change Change, therefore the concrete numerical value scope of this predetermined capacitive scope, pre-set pressure range and this acceleration range is not limited.

Step 105, smart machine determine that the type of this touch control operation is articulations digitorum manus touch-control.Execution step 107.

When smart machine judges the condition that this touch data meets articulations digitorum manus touch-control, then can determine this touch control operation Type be articulations digitorum manus touch-control.Wherein, this non-articulations digitorum manus touch-control can be included in fingernail touch-control, finger pulp touch-control and pointer touch-control Any one.Example, if the touch data that smart machine obtains includes:Capacitance C2, pressure value p1 and accekeration A2, its Middle p1 is more than P1 and is less than P2, then this smart machine can determine that this touch data meets the condition of articulations digitorum manus touch-control, and determines The type of this touch control operation is articulations digitorum manus touch-control.

Step 106, smart machine determine that the type of this touch control operation is non-articulations digitorum manus touch-control.Execution step 107.

When this touch data is unsatisfactory for the condition of articulations digitorum manus touch-control, determine that the type of this touch control operation is that non-articulations digitorum manus touch Control.Example, if the touch data that smart machine obtains includes:Capacitance C3, pressure value P 3 and accekeration A3, then this intelligence Equipment can determine that this touch data is unsatisfactory for articulations digitorum manus touch condition, and determines that the type of this touch control operation is that non-articulations digitorum manus touch Control, additionally, this smart machine can also further determine that this touch control operation according to the scope residing for the touch data shown in table 1 Type be specially finger pulp touch-control.

It should be noted that in embodiments of the present invention, this smart machine can also enter one according to the touch data obtaining Step identify non-articulations digitorum manus touch-control particular type, that is to say, this smart machine can according to touch data identify fingernail touch-control, Finger pulp touch-control and pointer touch-control etc..

It should be noted that, different types of touch control operation institute as shown in table 1 due to can be stored with smart machine Scope residing for corresponding touch data is therefore after smart machine gets touch data produced by touch control operation, permissible Scope according to residing for the touch data of this acquisition, directly determines the type of this touch control operation.

Coordinate according to touch point of step 107, smart machine and the type of this touch control operation, execute this touch control operation institute The action indicating.

In embodiments of the present invention, the effect of this touch control operation can also be included in the touch data acquired in this smart machine The coordinate of the touch point on this touch screen, during due to user to touch screen execution touch control operation, so that touch screen four side The current direction finger that sends of electrode and touch screen contact point, therefore smart machine can send according to the electrode on this four side The ratio of electric current and degree of strength, calculate contact point coordinate on the touchscreen.

The action indicated by each type of touch control operation, for example, finger pulp touch-control can also be recorded in this smart machine Indicated action is the corresponding application program of application icon starting shown by touch point, instruction described in articulations digitorum manus touch-control Action is to carry out screenshotss to display screen.Therefore, after smart machine determines the coordinate of touch point and the type of this touch control operation, that is, Can perform the action indicated by this touch control operation, example, if smart machine identifies that the touch control operation receiving is articulations digitorum manus Touch-control, then can be carried out screenshotss to the display screen of smart machine, or this touch control operation acted on according to this articulations digitorum manus touch-control The image in touch point region carry out sectional drawing.

In an alternative embodiment of the present invention, with reference to Fig. 3-7, in above-mentioned steps 104, smart machine judges that this touches During touching the condition whether data meets articulations digitorum manus touch-control, this touch data can also be further processed, should Processing procedure specifically includes following steps:

Step 1041, smart machine are respectively to capacitance, pressure value and the accekeration getting in this preset time period Carry out feature extraction, obtain the eigenvalue of the eigenvalue of this capacitance, the eigenvalue of this pressure value and this accekeration.

Wherein, this feature value can include:In peak value, average, variance, extreme point quantity, change frequency and signal energy At least one.Due to carrying out after feature extraction to touch data, the effective information in this touch data can be extracted, remove Redundancy, the eigenvalue of this extraction can preferably reflect the feature of touch data, and therefore smart machine is according to extraction Eigenvalue is identified to the type of touch control operation, can improve efficiency when the type to touch control operation is identified and accurately Rate.

Example it is assumed that the eigenvalue of this extraction includes peak value and average, then for the touch data getting, this intelligence Equipment can calculate the peak value of pressure value in the peak value of touch screen capacitance and average, preset time period in preset time period respectively And the peak value of accekeration and average in average, and preset time period.

Step 1042, smart machine enter to the capacitance obtaining in this preset time period, pressure value and accekeration respectively Row pretreatment.

In embodiments of the present invention, this pretreatment can include down-sampled and filtering at least one.For example, it is possible to press According to default down-sampled frequency, respectively this capacitance, pressure value and accekeration are carried out down-sampled, to reduce amount of calculation, carry The treatment effeciency of high data, is then filtered (for example, low-pass filtering or gaussian filtering) to the data after down-sampled again, with Filter the noise in this touch data, therefore, can be improved by this pretreatment operation and touch control operation is identified according to touch data Type when efficiency and accuracy rate.

Step 1043, smart machine carry out spy to this capacitance pretreated, this pressure value and this accekeration respectively Levy extraction.

Further, smart machine can also carry out feature extraction to pretreated touch data, to extract this pre- place The eigenvalue of the touch data after reason.That is to say, in embodiments of the present invention, this smart machine can extract original touch respectively The eigenvalue of data, and the eigenvalue through pretreated touch data, and comprehensively this two kinds of eigenvalue is carried out The identification of touch control operation type, to improve the accuracy rate of identification further.Therefore, now smart machine determines this touch control operation The condition of referenced articulations digitorum manus touch-control during type can also include:The eigenvalue of this capacitance is in the first preset range, The eigenvalue of this pressure value is in the second preset range, and the eigenvalue of this accekeration is in the 3rd preset range.

Wherein, this first preset range, the second preset range and the 3rd preset range are also the algorithm according to machine learning, By lot of experimental data, statistics obtains.Example, with reference to above-mentioned steps 104, the touch screen of smart machine can be carried out Repeatedly touch-control experiment, after detecting each touch control operation, the touch data such as the capacitance of touch screen, pressure value and accekeration Size, then first carries out feature extraction to articulations digitorum manus touch control operation and touch data produced by non-articulations digitorum manus touch control operation, it Carry out feature extraction more afterwards after pretreatment is carried out to this touch data, finally two kinds of eigenvalue is classified and unite Meter, determine eigenvalue corresponding to each type of touch control operation (include pretreated touch data eigenvalue and Eigenvalue without the touch data of pretreatment) residing for scope.Therefore, this first preset range, the second preset range and Each preset range in 3rd preset range can include two subranges, i.e. the eigenvalue institute of pretreated touch data The subrange at place, and without the subrange residing for the eigenvalue of the touch data of pretreatment.

In actual applications, smart machine identified according to the eigenvalue of touch data specifically permissible during the type of touch control operation Using the decision tree in algorithm for pattern recognition or random forest scheduling algorithm, the embodiment of the present invention does not limit to this.

It should be noted that in actual applications, this first preset range, the second preset range and the 3rd preset range, In the difference of the internal structure according to smart machine and smart machine setting the difference of the type of each sensor and change, Therefore the concrete numerical value scope of this first preset range, the second preset range and the 3rd preset range is not limited.

Above-mentioned steps 102 specifically can signal processing in smart machine as shown in Figure 1 to the method shown in step 107 Module 40 realizing, or, can processor 201 in the identifying device of touch control operation as shown in Figure 2 realizing.

Also, it should be noted the sequencing of the step of the recognition methodss of touch control operation provided in an embodiment of the present invention can Suitably to be adjusted, step can also according to circumstances accordingly be increased and decreased, and any those familiar with the art exists The invention discloses technical scope in, method that change can be readily occurred in, all should be included within the scope of the present invention, because This repeats no more.

In sum, a kind of recognition methodss of touch control operation, in the method, smart machine are embodiments provided After receiving touch control operation, touch data produced by this touch control operation can be obtained, and be identified according to this touch data The type of this touch control operation is articulations digitorum manus touch-control is also non-articulations digitorum manus touch-control, compared to can only identify touch control operation in correlation technique The position of the contact point being acted on, this recognition methods enriches smart machine to the recognition method of touch control operation so that user can So that smart machine is carried out by different types of touch control operation with the control of different modes, thus improve by touch control operation pair Motility when smart machine is controlled.

Embodiments provide a kind of identifying device of touch control operation, this device can apply in smart machine, This smart machine includes touch screen, as shown in figure 4, this device can include:

Receiver module 301, can be used for realizing the method in step 101 in Fig. 3-1 illustrated embodiment.

Acquisition module 302, for obtaining touch data produced by this touch control operation, this touch data includes:Receive To after this touch control operation, the pressure value producing and this touch control operation make to this touch screen for the capacitance of this touch screen, this touch control operation The accekeration that this smart machine produces.

Identification module 303, for according to this touch data, identifying the type of this touch control operation, the type of this touch control operation Including articulations digitorum manus touch-control or non-articulations digitorum manus touch-control.

Optionally, it is provided with pressure transducer and acceleration transducer in this smart machine, this touch data includes:This touches Touch capacitance, this pressure value and this accekeration of screen;This identification module 303 is specifically in execution Fig. 3-1 illustrated embodiment Step 104 is to the method shown in step 106.

Optionally, this acquisition module 302 can be also used for realizing the method in step 103 in Fig. 3-1 illustrated embodiment.Ginseng Examine Fig. 4, this device can also include:

Characteristic extracting module 304, can be used for realizing in Fig. 3-7 illustrated embodiment step 1041 to shown in step 1043 Method.

Optionally, this acquisition module 302 can be also used for realizing the method in step 102 in Fig. 3-1 illustrated embodiment.

Further, this touch data also includes:This touch control operation acts on the coordinate of the touch point on this touch screen;Ginseng Examine Fig. 4, this device can also include:

Performing module 305, can be used for realizing the method shown in step 107 in Fig. 3-1 illustrated embodiment.

Above-mentioned modules can be realized based on the device such as CPU, FPGA or combination, and concrete grammar is prior art (example Code as, CPU reads memorizer to complete the function that these modules have), do not repeated here.

In sum, the invention provides a kind of identifying device of touch control operation, smart machine is receiving touch control operation Afterwards, touch data produced by this touch control operation can be obtained, and identify the type of this touch control operation according to this touch data Be articulations digitorum manus touch-control be also non-articulations digitorum manus touch-control, compared to contact point that touch control operation is acted on can only be identified in correlation technique Position, this recognition methods enrich smart machine to the recognition method of touch control operation so that user can pass through different types of Touch control operation carries out the control of different modes to smart machine, thus improve being controlled to smart machine by touch control operation When motility.

Those skilled in the art can be understood that, for convenience and simplicity of description, the device of foregoing description With the specific work process of module, may be referred to the corresponding process in preceding method embodiment, will not be described here.

The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all spirit in the present invention and Within principle, any modification, equivalent substitution and improvement made etc., should be included within the scope of the present invention.

Claims (12)

1. it is characterised in that being applied in smart machine, described smart machine includes touching for a kind of recognition methodss of touch control operation Screen, methods described includes:
Touch control operation is received by described touch screen;
Obtain touch data produced by described touch control operation, described touch data includes:After receiving described touch control operation The pressure value producing and described touch control operation make described intelligence to described touch screen for the capacitance of described touch screen, described touch control operation The accekeration that energy equipment produces;
According to described touch data, identify the type of described touch control operation, the type of described touch control operation includes articulations digitorum manus touch-control Or non-articulations digitorum manus touch-control.
2. method according to claim 1 it is characterised in that described according to described touch data, identify described touch-control behaviour The type made, including:
Judge whether described touch data meets the condition of articulations digitorum manus touch-control;
When described touch data meets the condition of articulations digitorum manus touch-control, determine that the type of described touch control operation is articulations digitorum manus touch-control;
When described touch data is unsatisfactory for the condition of articulations digitorum manus touch-control, determine that the type of described touch control operation is that non-articulations digitorum manus touch Control;
Wherein, the condition of described articulations digitorum manus touch-control includes:The capacitance of described touch screen is in the range of predetermined capacitive, described pressure Force value is in pre-set pressure range, and described accekeration is in the range of predetermined acceleration.
3. method according to claim 2 is it is characterised in that described acquisition touches number produced by described touch control operation According to, including:
Obtain the touch data after receiving described touch control operation, in preset time period;
Before the described type identifying described touch control operation, methods described also includes:
Respectively feature extraction is carried out to capacitance, pressure value and the accekeration getting in described preset time period, obtain institute State the eigenvalue of the eigenvalue, the eigenvalue of described pressure value and described accekeration of capacitance;
The condition of described articulations digitorum manus touch-control also includes:
The eigenvalue of described capacitance is in the first preset range, and the eigenvalue of described pressure value is in the second preset range Interior, and the eigenvalue of described accekeration is in the 3rd preset range.
4. method according to claim 3 it is characterised in that described respectively in described preset time period obtain electric capacity Value, pressure value and accekeration carry out feature extraction, including:
Respectively pretreatment is carried out to the capacitance obtaining in described preset time period, pressure value and accekeration;
Respectively feature extraction is carried out to pretreated described capacitance, described pressure value and described accekeration;
Wherein, described pretreatment include down-sampled and filtering at least one.
5. method according to claim 1 is it is characterised in that described acquisition touches number produced by described touch control operation According to, including:
Judge after receiving described touch control operation, whether the variable quantity of the capacitance of described touch screen is in default excursion Interior;
When described variable quantity is in default excursion, obtain touch data produced by described touch control operation.
6. according to the arbitrary described method of claim 1 to 5 it is characterised in that described touch data also includes:
Described touch control operation acts on the coordinate of the touch point on described touch screen;
Described according to described touch data, after identifying the type of described touch control operation, methods described also includes:
Coordinate according to described touch point and the type of described touch control operation, execute the action indicated by described touch control operation.
7. it is characterised in that being applied in smart machine, described smart machine includes touching a kind of identifying device of touch control operation Screen, described device includes:
Receiver module, for receiving touch control operation by described touch screen;
Acquisition module, for obtaining touch data produced by described touch control operation, described touch data includes:Receive institute Pressure value and described touch-control that after stating touch control operation, the capacitance of described touch screen, described touch control operation produce to described touch screen Operation makes the accekeration that described smart machine produces;
Identification module, for according to described touch data, identifying the type of described touch control operation, the type bag of described touch control operation Include articulations digitorum manus touch-control or non-articulations digitorum manus touch-control.
8. device according to claim 7 is it is characterised in that be provided with pressure transducer and acceleration in described smart machine Degree sensor;Described identification module, is additionally operable to:
Judge whether described touch data meets the condition of articulations digitorum manus touch-control;
When described touch data meets the condition of articulations digitorum manus touch-control, determine that the type of described touch control operation is articulations digitorum manus touch-control;
When described touch data is unsatisfactory for the condition of articulations digitorum manus touch-control, determine that the type of described touch control operation is that non-articulations digitorum manus touch Control;
Wherein, the condition of described articulations digitorum manus touch-control includes:The capacitance of described touch screen is in the range of predetermined capacitive, described pressure Force value is in pre-set pressure range, and described accekeration is in the range of predetermined acceleration.
9. device according to claim 8, it is characterised in that described acquisition module, is additionally operable to:
Obtain the touch data after receiving described touch control operation, in preset time period;
Described device also includes:
Characteristic extracting module, for entering to capacitance, pressure value and the accekeration getting in described preset time period respectively Row feature extraction, obtains the eigenvalue of the eigenvalue, the eigenvalue of described pressure value and described accekeration of described capacitance;
The condition of described articulations digitorum manus touch-control also includes:
The eigenvalue of described capacitance is in the first preset range, and the eigenvalue of described pressure value is in the second preset range Interior, and the eigenvalue of described accekeration is in the 3rd preset range.
10. device according to claim 9, it is characterised in that described characteristic extracting module, is additionally operable to:
Respectively pretreatment is carried out to the capacitance obtaining in described preset time period, pressure value and accekeration;
Respectively feature extraction is carried out to pretreated described capacitance, described pressure value and described accekeration;
Wherein, described pretreatment include down-sampled and filtering at least one.
11. devices according to claim 7, it is characterised in that described acquisition module, are additionally operable to:
Judge after receiving described touch control operation, whether the variable quantity of the capacitance of described touch screen is in default excursion Interior;
When described variable quantity is in default excursion, obtain touch data produced by described touch control operation.
12. according to the arbitrary described device of claim 7 to 11 it is characterised in that described touch data also includes:Described touch-control Act on the coordinate of the touch point on described touch screen;
Described device also includes:
Performing module, for the type of the coordinate according to described touch point and described touch control operation, executes described touch control operation Indicated action.
CN201610809256.6A 2016-09-05 2016-09-05 Touch operation identification method and apparatus CN106445120A (en)

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