CN107562366A - Gesture identification method, computer installation and computer-readable recording medium - Google Patents

Gesture identification method, computer installation and computer-readable recording medium Download PDF

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Publication number
CN107562366A
CN107562366A CN201710893952.4A CN201710893952A CN107562366A CN 107562366 A CN107562366 A CN 107562366A CN 201710893952 A CN201710893952 A CN 201710893952A CN 107562366 A CN107562366 A CN 107562366A
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China
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data
inductor
identification method
gesture identification
gesture
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胡颖哲
唐翱翔
张琪
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Zhuhai Printronics Core Chi Technology Co Ltd
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Zhuhai Printronics Core Chi Technology Co Ltd
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Abstract

The present invention provides a kind of gesture identification method and computer installation, computer-readable recording medium, this method includes the capacitance value data that multiple inductor outputs are inscribed when obtaining multiple, and, according to it is each when inscribe the capacitance value datas of acquired multiple inductors and calculate the position of movement tendency and induction point, by the variation tendency calculated compared with the data in model library, judge whether variation tendency matches with least one model data in model library, in this way, gesture is determined according to model data.Above-mentioned gesture identification method can be realized during program on the computing device computer-readable recording medium of the computer installation.The present invention can accurately identify the gesture of user, and can reduce the operand of electronic equipment chip.

Description

Gesture identification method, computer installation and computer-readable recording medium
Technical field
The present invention relates to gesture identification field, more particularly to a kind of gesture identification method and make computer in this way Device, the computer-readable recording medium for realizing this method.
Background technology
Present electronic equipment is more and more intelligent, such as the electronic equipment with touch-screen is that most common electronics is set It is standby, such as smart mobile phone, tablet personal computer.The touch-screen of electronic equipment experienced initial resistive touch screen to capacitance touch The development of screen, as shown in figure 1, present capacitance plate has a display screen 10 mostly, display screen 10 is used for display picture, such as aobvious Diagram picture, word etc..Multiple electrodes are set on the display screen 10, such as the electrode 11 of Longitudinal extending and the electrode that extends laterally 12, transverse electrode 12 and the crisscross top for being arranged on display screen 10 of longitudinal electrode 11.
However, existing capacitance plate is often served only for the detection to user's finger touch point, it is difficult to realizes user gesture Detection, that is, can not realize and user's hand motion is detected.With the development of technology, user wishes that not touching electronics sets Standby screen can send control instruction, such as gesture instruction, and therefore, present electronic equipment is difficult to meet the needs of user.
Therefore, existing part electronic equipment provides gesture identification function, and the identification to gesture is by taking the photograph mostly As the gesture of device shooting user, then by the way that image is identified, the hand motion that user is gone out according to image recognition changes Process, so as to identify the gesture of user.
However, user gesture is identified for the image shot by camera device, video, at the image of electronic equipment Reason ability, recognition capability propose very high requirement, also, when image is identified electronic equipment, it is also desirable to take Substantial amounts of hardware resource, such as substantial amounts of cpu resource and memory source are needed, sometimes cause electronic equipment operation slow.
The content of the invention
The main object of the present invention is to provide a kind of by the capacitance value data of inductor carrying out that gesture is calculated and determined Gesture identification method.
It is a further object of the present invention to provide a kind of computer installation for realizing above-mentioned gesture identification method.
The third object of the present invention is to provide a kind of computer-readable recording medium for realizing above-mentioned gesture identification method.
In order to realize above-mentioned main purpose, inscribed when gesture identification method provided by the invention is including obtaining multiple multiple The capacitance value data of inductor output, also, according to it is each when inscribe the capacitance value datas of acquired multiple inductors and calculate The position of movement tendency and induction point, by the variation tendency calculated compared with the data in model library, judge to change Whether trend matches with least one model data in model library, in this way, gesture is determined according to model data.
One preferable scheme is to calculate movement tendency to include:The electric capacity of multiple inductors is received using finite state machine Whether Value Data, the time span for judging to meet movement tendency are more than the default time, in this way, are determined for compliance with calculating movement tendency Condition.
Further scheme is, after finite state machine receives the capacitance value data of multiple inductors, calculates the position of induction point Put and movement velocity, judge whether to meet the condition of abandoning, such as meet the condition of abandoning, then abandon current gestures detection.
Further scheme is to meet the condition of abandoning to include:The translational speed of induction point is more than upper limit threshold or low In lower threshold.
Further scheme is, before the capacitance value data of multiple inductor outputs is received first, to multiple inductors Calibration process is carried out, also, after the capacitance value data of acquisition inductor output, electric capacity is carried out to the data of the capacitance of inductor Drift compensation calculates.Further, after completing the calculating of electric capacity drift compensation, noise is carried out to the data after electric capacity drift compensation and disappeared Except calculating.
Further scheme is that calculating is normalized in the data after being eliminated to noise after completing noise elimination calculating, The data for calculating the position of movement tendency and induction point are the data after normalization calculating.
To realize above-mentioned another object, computer installation provided by the invention includes processor and memory, processor The step of above-mentioned gesture identification method is realized during for performing the computer program stored in memory.
To realize the 3rd above-mentioned purpose, computer-readable recording medium provided by the invention, computer is stored thereon with Program, and the step of realize above-mentioned gesture identification method when computer program is executed by processor.
From such scheme, by setting multiple inductors on an electronic device, and inscribe when multiple obtain it is more The capacitance value data of individual inductor, by analyzing the capacitance value data of multiple inductors, judge the shifting of user's finger Emotionally condition, and then the model in the data and model library that are obtained is contrasted, so that it is determined that the hand-type of user.With it is traditional Compared by the technology for shooting user's finger mobile image, the present invention can reduce the operand of chip, be set so as to reduce electronics Standby production cost.On the other hand, what also significantly faster than image was identified for the speed run to the data of capacitance Speed, therefore the efficiency of gesture identification can be improved.
In addition, the present invention is calculated the data of the capacitance of multiple inductors by finite state machine, pass through calculating Data on multiple inductors determine gesture, therefore the identification of gesture is more accurate, effectively avoid because using a small amount of several electricity The data of sensor and cause the situation of gesture identification mistake to occur.
In addition, in the case of user gesture motion is obvious too fast or obvious excessively slow, the present invention will be abandoned as gesture Identification, that is, judge whether the capacitance value data of inductor meets the condition of abandoning, no longer make if the condition of abandoning is met Gesture identification is carried out with this group of data.
Also, electric capacity drift compensation calculating is carried out to the capacitance value data acquired in inductor, noise eliminate calculate and Normalization just carries out gesture identification after calculating, and can greatly improve the accuracy of gesture identification.
Brief description of the drawings
Fig. 1 is the schematic diagram of capacitance plate.
Fig. 2 is the schematic diagram using the capacitance plate of gesture identification method embodiment of the present invention.
Fig. 3 is the electrical schematic diagram of the capacitance plate shown in Fig. 2.
Fig. 4 is the flow chart of gesture identification method embodiment of the present invention.
Fig. 5 is the flow chart of movement tendency judgment step in gesture identification method embodiment of the present invention.
Below in conjunction with drawings and Examples, the invention will be further described.
Embodiment
The gesture identification method of the present invention applies the electronic equipment for having touch-screen in smart mobile phone, tablet personal computer etc. On, the identification of longer-distance touch action can be sensed.The computer installation of the present invention can be smart mobile phone, tablet personal computer Deng device, and computer-readable recording medium can be stored in the software program on the memory of smart mobile phone, tablet personal computer.
Gesture identification method embodiment:
The gesture identification method of the present embodiment is used in smart mobile phone, tablet personal computer, in electronics such as smart mobile phone, tablet personal computers Display screen is provided with equipment, display screen is used for display image, word etc..In the present embodiment, by multiple inductors to user Detected the position of finger.Referring to Fig. 2, an inductor in strip is respectively arranged with the surrounding of display screen 25, for example, Inductor 21 is provided with the upside of display screen 25, right side is provided with inductor 22, and downside, which is set, inductor 23, and left side is set Inductor 24 is equipped with, so, an inductor is both provided with up and down in display screen 25.In the present embodiment, inductor can be with The copper sheet of strip, when the finger of user is in the top of inductor 21,22,23,24, due to finger and inductor 21,22, 23rd, electric field be present between 24, cause the signal for the capacitance that inductor 21,22,23,24 exports to change, therefore pass through inspection The position of finger can be calculated by surveying the change for the capacitance that inductor 21,22,23,24 exports.
In order to reduce influence of the display screen 25 to inductor 21,22,23,24, in the present embodiment, in each inductor Lower section is provided with screen layer, as shown in figure 3, in terms of Fig. 2 A-A directions, the lower section of inductor 22 is provided with screen layer 26, The lower section of inductor 24 is provided with screen layer 28.Also, screen layer is arranged on the top of display screen 25, i.e. inductor, shielding Layer and display screen 25 are top-down settings.So, screen layer can fall interference shielding caused by display screen 25, keep away The electromagnetic field for exempting from display screen 25 impacts to inductor 21,22,23,24.
In the present embodiment, screen layer can select ITO materials to be made, i.e., be made using tin indium oxide.If inductor or Person's screen layer is in above screen, then inductor or screen layer must be made from transparent material.Because tin indium oxide has Transparent characteristic, therefore be the preferred material for manufacturing screen layer.
If electric field be present between two objects, then electric capacity is there is between the two objects, field coupling is stronger, electricity Rong Zeyue is big.The present invention is exactly to utilize this principle, reduces the field coupling between inductor and display screen 25 as far as possible, and is increased Add the field coupling between inductor and user's finger.Therefore, in the present embodiment, in order to reduce shadow of the display screen 25 to inductor Ring, the earth terminal of display screen 25 needs to disconnect with the earth.In addition, the earth terminal of display screen 25 and screen layer, inductor quilt The signal of identical concussion frequency is loaded, as shown in figure 3, the present embodiment sets an oscillator signal source 30, oscillator signal source 30 can To send the voltage signal that concussion frequency is fixed, the signal that oscillator signal source 30 exports can be loaded into by voltage buffer 31 On screen layer, such as it is loaded on screen layer 26,28.Also, the oscillator signal that oscillator signal source 30 exports can also pass through voltage Buffer 32 is exported to the earth terminal of display screen 25.
In addition, using the principle that field coupling is not present between equipotential object, the present invention is in interference source(Such as display screen 25)Screen layer is added between inductor, also, screen layer needs to be loaded and the shake of in running order inductor identical Swing signal.Therefore, in the present embodiment, inductor is also required to be loaded oscillator signal.Therefore, shaken caused by oscillator signal source 30 Signal is also required to be loaded on inductor by voltage buffer.
Because inductor 21,22,23,24 is required to be connected to detection circuit by connecting line, but inductor and detection Connecting line between circuit is also the interference source for producing interference signal, in order to reduce influence of the connecting line to inductor, this implementation In example, the connecting line between inductor and detection circuit is arranged on to the lower section of inductor.Using same equipotentiality body without coupling Principle, the present invention using inoperative inductor as screen layer.Assuming that inductor 24 is the inductor of work at present, other Inductor, i.e. inductor 21,22,23 are the inductor of inoperative, then need the identical concussion frequency of inductor loading to inoperative The signal of rate, it would not be coupled so as to be arranged on the connecting line 45 of the lower section of inductor 23 with the finger generation of user.
However, because the connecting line of inductor sometimes inevitably have passed through other inductors, now can be to it His inductor, which produces, to be disturbed, and in the present embodiment, layer of metal layer is wrapped up in the outside of connecting line, for example, in the outside of connecting line Wrap up layer of metal layer, and using work inductor voltage-drop loading on connecting line, can thus shield connecting line Inductor have impact on.
Certainly, Fig. 2 show only a kind of mode of inductor arrangement, and during practical application, the arrangement of inductor can be It is diversified, for example, using the arrangement of traditional capacitance plate, i.e., multiple transvercal induction devices are set in the top of display screen And multiple longitudinal inductors, horizontal inductor and longitudinal induction device are arranged in a crossed manner.Also, horizontal inductor can be by Upside inductor and downside inductor are divided into, and longitudinal induction device can be divided into left side inductor and right side sensing Device.Now inductor must select transparent conductive material.
Or when surrounding arrangement of multiple inductors in display screen, four sides up and down of display screen are respectively provided with more Individual inductor, and multiple inductors of the same side are arranged in parallel, so can also realize detection and identification to gesture.
Each step of the gesture identification method of the present invention is introduced with reference to Fig. 4 and Fig. 5.
First, step S1 is performed, activation system, that is, starts to perform gesture identification program, such as initializes each inductor, And receive the data of the capacitance of each inductor.After activation system, step S2 is performed, judges whether system opens first It is dynamic, if system is to start for the first time, needs to perform step S3, inductor is calibrated.
In the present embodiment, except the multiple inductors being arranged on above display screen, an environmental criteria inductor is also set up, For example, environmental criteria inductor is arranged on the circuit board of inductive module, it is preferred that the circuit board is arranged in electronic equipment Portion, for sensing the change of electronic device environment factor, such as temperature, humidity change.Because the change of temperature, humidity can cause The change of the capacitance of inductor detection, it is therefore desirable to calibrated to inductor, that is, compensate calculating.
Then, step S4 is performed, receives the capacitance value data of multiple inductor outputs, such as sense is received by detecting circuit The electric signal for answering device to export, the data of corresponding capacitance are converted into according to the electric signal received.Then step S5, root are performed The movement tendency of user's finger is calculated according to the data of the capacitance received, for example, detecting the movement tendency of finger in real time (motion)With the position of finger, such as the position in the XYZ directions relative to display screen.As shown in Figure 2, X-direction is aobvious The direction of left and right extension in display screen 25, Y-direction is the direction extended up and down on display screen 25, and Z-direction is perpendicular to display Shield the direction on 25 surfaces.
In the present embodiment, the information of the position of movement tendency and finger can all be used for the analysis of gesture identification, also It is to judge current gesture is what gesture or no gesture.The gesture that the present invention can detect is including but not limited to following Several gestures:Upper cunning, downslide, left cunning, right cunning, click every sky, drawn a circle clockwise or counterclockwise every empty long-press, every sky.
In this implementation, the identification of gesture can pass through finite state machine(Finite state machine, FSM)Realize 's.Continuously acted for example, the gesture detected is a long-time, the present invention is not whether simply simple detection user does Gesture, but can detect the pilot process of gesture in detail, for example, sliding action start, carry out in, terminate, click on it is dynamic Whether whether work fallen, be invalid etc..Preferably, each gesture is decomposed into one or more parts by the present invention.Than Such as left skating gesture only has a part, i.e., to left movement.In another example being hit every null point, two parts are can be analyzed to, i.e., are transported forward Dynamic and then motion etc. backward again.Therefore, each gesture can be resolved into multiple different parts, carry out movement tendency calculating When, it can be calculated with regard to each section, so that it is determined that final gesture.
For example, for various gestures, such as slide, click on, drawing a circle etc., difference can be resolved into according to the direction of motion Part.An only part if left and right, upper and lower cunning, i.e., to left and right, upper and lower motion.Such as hit every null point and be divided into two portions Point, hand travels forward then followed by moving backward, draws a circle clockwise, can resolve into four parts, successively downwards, to the left, Upwards and move right, then order of drawing a circle counterclockwise is opposite.Therefore, for each part, can respectively to X-direction or Y-direction, Z-direction are detected, so that it is determined that movement tendency.Certainly, after calculating movement tendency, by the data and fortune of movement tendency Dynamic trend model database is contrasted, so that it is determined that gesture, that is, perform step S6.
By taking left cunning as an example, this implementation is to receive the capacitance value data of multiple inductors in real time, and according to current electricity Hold data and judge what direction motion is user's finger doing.But due to the presence of noise, erroneous judgement is might have, so this implementation Example only needs enough evidences to prove finger really in past left movement.Therefore, it is defeated that multiple inductor institutes will be received in the present embodiment The capacitance value data gone out, judge whether its movement tendency is to the left, then to count the time to the left, counter is such as set, use Counter counts calculator has the number of the sampling of same movement trend numerical value, and number of samples reflects the time.
In addition, system can also calculate the positional information in the movement velocity and XYZ directions of finger, its medium velocity and XYZ side Upward position is calculated by capacitance value data.When finite state machine have collected enough evidences, such as calculate and sell The movement velocity of finger is enough fast, detects that finger is more than default threshold value to the number of samples of left movement, and the position of finger is just Really, then finger can be entered just in motion state, represent finger toward left movement.Finger is just under motion state, limited shape State machine will continue to gather the data of the capacitance of multiple inductor outputs.If it find that evidence meets cancellation condition, such as finger Position wander off, be not to be much larger than to detect number of samples to left movement to the number of samples of left movement, or detection Movement velocity to finger becomes very slow etc., then it represents that the prediction of prediction finger toward left movement is wrong.If it find that card According to meeting termination condition, for example, the position of finger and speed it is normal, hand is static etc., then it represents that terminates toward left movement.Due to Left cunning only has a part to left movement, and the end to left movement also represents the end of left cunning.In another example if finger Motion is hit every null point, Part I(Move forward)The judgement of Part II can be entered after end(Move backward), only two Part all successful just represent hit success every null point.
The motion that the data that finite state machine all receives the capacitance exported by multiple inductors all the time calculate becomes Gesture information and finger position information.For example, when finite state machine be in etc. X-direction movement tendency to be detected when, it needs to receive Collect the exercise datas of enough X-directions to enter the state moved.When this state, finite state machine needs to receive Collect data and the speed position information of the data of the motion state of substantial amounts of X-direction and the motion state of non-X-direction to determine Whether gesture is invalid or gesture successfully terminates.Speed and change in location information can effectively prevent false triggering, such as super Slow or express slip can be abandoned.
The movement tendency and the flow of position calculating of gesture are introduced with reference to Fig. 5.First, it is determined that whether receive multiple The capacitance value data of inductor output, that is, perform step S11, be such as not received by data, then continue waiting for.If receive electricity Capacitance data, step S12 is first carried out, electric capacity drift compensation calculating is carried out to capacitance value data.By the present embodiment is applied Electronic equipment be provided with environmental criteria inductor, therefore electric capacity drift compensation, which calculates, to be detected according to environmental criteria inductor Signal calculated, specific calculation is, by the offset of some inductor capacitance value data than upper environmental criteria sense The variable quantity of the capacitance value data of device is answered to be equal to electric capacity of the inductor capacitance than upper environmental criteria inductor of initial time Value, as shown in Equation 1:
(formula 1)
Wherein, Δ S represents the offset of inductor capacitance value data, Δ SrefRepresent environmental criteria inductor capacitance value data Offset, St=0Represent initial time inductor capacitance value data, Sref|t=0Represent initial time environmental criteria inductor capacitance Data.
Then, step S13 is performed, carrying out noise to capacitance value data eliminates calculating.Because noise includes ambient noise, amount Change the noise noise related to some application-specifics, therefore most high-frequency noise is eliminated using lowpass digital filter first With small shake.However, the electric field of surrounding environment full of acute variation etc., this can cause the violent shake of capacitance, low Bandpass filter cannot solve this noise, but this intense environment noise can cause unnecessary false triggering.Therefore, can be pre- First to noise modeling, gesture system is turned off when identifying that current signal is noise.
Then, step S14 is performed, the signal after removal noise is normalized, in the present embodiment, uses formula 2 are calculated.
(formula 2)
Wherein, bl is inductor a reference value, i.e., capacitance when not having the finger to exist above inductor, and S is that inductor is worked as The data of preceding detected capacitance, k are to preset coefficient, and k value can be the numerical value between 0 to 1, and T is normalization The data of capacitance afterwards.
Then, step S15 is performed, calculates speed and the position of induction point, and carry out movement tendency analysis.For example, When calculating the position of induction point, i.e. finger, it can be calculated using following three formula:
Wherein, x, y, z is the position numerical value calculated on tri- directions of XYZ respectively, after Ti represents i-th of inductor normalization Capacitance data, therefore i value can be 1,2 ..., that is, the sequence number of inductor.offsetxIt is the left and right sides The deviation of two inductor capacitances, i.e., the difference of the capacitance value data of two inductors at both ends, offset in X-directionyIt is The deviation of upper and lower inductor capacitance, i.e., the difference of the capacitance value data of two inductors at both ends in Y-direction.In 4 orientation Inductor can be one or more.Kx and Ky is the coefficient pre-set, and value is a numerical value between 0 to 1.And And offsetx、offsety, Kx and Ky be all numerical value set in advance, it is preferred that these numerical value are set by verifying , during verification, it can allow user that finger is put into the centre at the center of sensing frame, upper and lower, left and right edge.
And ∑ max (Ti) all inductors that represent to add up inscribe the capacitance detected when multiple in maximum, ∑ Ti∈rightRepresent cumulative all capacitance value datas for belonging to right side inductor, ∑ Ti∈leftRepresent that cumulative all left sides that belong to sense The capacitance value data of device, ∑ Ti∈bottomRepresent cumulative all capacitance value datas for belonging to downside inductor, ∑ Ti∈topRepresent cumulative All capacitance value datas for belonging to upside inductor.∑TiRepresent the capacitance value data of cumulative all inductors.It can be seen that, it is necessary to will Multiple inductors are divided into the electricity of the left side belonged in X-direction, the inductor on right side, the upside belonged in Y-direction, downside in advance Sensor.
Certainly, after calculating the speed of induction point, position, step S16 is also performed, judges whether to meet the condition of abandoning, as before What face was discussed, if the movement velocity of inductor meets the condition of abandoning less than lower threshold or higher than upper limit threshold, all expression, The data for not using this time to be detected, that is, the detection without gesture.
In order to judge the specific action of gesture, the present embodiment is contrasted using the data in movement tendency model library, from And determine gesture, that is, perform step S17.In the present embodiment, movement tendency model library is by largely training obtained model library. For example, corresponding to each different movement tendency, the data of substantial amounts of capacitance are all collected, are such as directed in different azimuth, difference Speed and the motion of different people.Then according to the frequency of model, whether trained by the feature such as other movement tendencies are shared Each movement tendency model database.When judging the data match of current movement tendency and a certain model, then step is performed Rapid S18, it is determined that the movement tendency most matched, so that it is determined that gesture.
It can be seen that the present invention is detected by the data of the capacitance exported to multiple inductors, calculated, finger is determined Movement tendency and induction point position, and then with the model data in model library be compared to determine gesture, compared to rise Using imaging sensor shooting image and the method analyzed image, the present invention can reduce the operand of chip.
Computer installation embodiment:
The embodiment of the present invention additionally provides a kind of computer, and the computer installation can be to include mobile phone, tablet personal computer, individual number Word assistant(English full name:Personal Digital Assistant, english abbreviation:PDA)Etc. any terminal device.
Computer installation includes power supply, memory, processor and storage in memory and can run on a processor Computer program.Wherein, the step in above-mentioned each information processing method embodiment is realized during computing device computer program Suddenly, step S1 to S6 such as shown in Fig. 4 etc..Or above-mentioned each device embodiment is realized during computing device computer program In each module or the function of unit.
Exemplary, computer program can be divided into one or more module/units, and one or more module/ Unit is stored in memory, and by computing device, to complete the present invention.Above-mentioned one or more module/units can To be the series of computation machine programmed instruction section that can complete specific function, the instruction segment is for describing computer program in terminal Implementation procedure in equipment.
Processor alleged by the present invention can be CPU (Central Processing Unit, CPU), may be used also To be other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field- Programmable Gate Array, FPGA) either other PLDs, discrete gate or transistor logic device Part, discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processing Device etc., processor are the control centres of terminal device, utilize the various pieces of various interfaces and the whole terminal device of connection.
Memory can be used for storage computer program and/or module, processor to be stored in memory by running or performing Interior computer program and/or module, and the data being stored in memory are called, realize the various functions of terminal device. Memory can mainly include storing program area and storage data field, wherein, storing program area can storage program area, at least one Application program needed for function(Such as sound-playing function, image player function etc.)Deng;Storage data field can be stored according to hand Machine uses created data(Such as voice data, phone directory etc.)Deng.In addition, memory can include high random access Memory, nonvolatile memory, such as hard disk, internal memory, plug-in type hard disk, intelligent memory card can also be included(Smart Media Card, SMC), secure digital(Secure Digital, SD)Card, flash card(Flash Card), at least one magnetic Disk storage device, flush memory device or other volatile solid-state parts.
Computer-readable recording medium embodiment:
If the integrated module/unit of computer installation is realized in the form of SFU software functional unit and is used as independent production marketing Or in use, it can be stored in a computer read/write memory medium.Based on such understanding, the present invention realizes above-mentioned reality All or part of flow in a method is applied, by computer program the hardware of correlation can also be instructed to complete, computer Program can be stored in a computer-readable recording medium, and the computer program can be achieved above-mentioned each when being executed by processor The step of individual embodiment of the method.Wherein, computer program includes computer program code, and computer program code can be source generation Code form, object identification code form, executable file or some intermediate forms etc..Computer-readable medium can include:It can take Any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic disc, CD with computer program code, computer storage Device, read-only storage(ROM, Read-Only Memory), random access memory(RAM, Random Access Memory)、 Electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that the content that computer-readable medium includes can To carry out appropriate increase and decrease according to legislation in jurisdiction and the requirement of patent practice, such as in some jurisdictions, root Do not include electric carrier signal and telecommunication signal according to legislation and patent practice, computer-readable medium.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
The unit illustrated as separating component can be or may not be physically separate, be shown as unit Part can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple networks On unit.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can To be stored in a computer read/write memory medium.Based on such understanding, technical scheme substantially or Saying all or part of the part to be contributed to prior art or the technical scheme can be embodied in the form of software product Out, the computer software product is stored in a storage medium, including some instructions are causing a computer equipment (Can be personal computer, server, or network equipment etc.)Perform all or part of each embodiment method of the present invention Step.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage(ROM, Read-Only Memory), it is random Access memory(RAM, Random Access Memory), magnetic disc or CD etc. are various can be with Jie of store program codes Matter.
Certainly, above-mentioned scheme is the preferred embodiment of the invention, and practical application is that can also have more changes, For example, the change of inductor arrangement, the change of inductor quantity, such change have no effect on the implementation of the present invention on display screen, Also should include within the scope of the present invention.

Claims (10)

1. gesture identification method, including:
The capacitance value data of multiple inductor outputs is inscribed when obtaining multiple;
It is characterized in that:
According to it is each when inscribe the capacitance value datas of acquired multiple inductors and calculate the position of movement tendency and induction point, By the variation tendency calculated compared with the data in model library, judge the variation tendency whether with model library extremely A few model data matches, and in this way, gesture is determined according to the model data.
2. gesture identification method according to claim 1, it is characterised in that:
Calculating movement tendency includes:The capacitance value data of multiple inductors is received using finite state machine, judgement meets fortune Whether the time span of dynamic trend is more than the default time, in this way, is determined for compliance with calculating the condition of movement tendency.
3. gesture identification method according to claim 2, it is characterised in that:
After the finite state machine receives the capacitance value data of multiple inductors, position and the motion speed of induction point are calculated Degree, judges whether to meet the condition of abandoning, such as meets the condition of abandoning, then abandon current gestures detection.
4. gesture identification method according to claim 3, it is characterised in that:
Meeting the condition of abandoning includes:The translational speed of the induction point is more than upper limit threshold or less than lower threshold.
5. according to the gesture identification method described in any one of Claims 1-4, it is characterised in that:
Before the capacitance value data of multiple inductor outputs is received first, calibration process is carried out to multiple inductors.
6. according to the gesture identification method described in any one of Claims 1-4, it is characterised in that:
After the capacitance value data for obtaining the inductor output, electric capacity drift benefit is carried out to the data of the capacitance of the inductor Repay calculating.
7. gesture identification method according to claim 6, it is characterised in that:
After completing the electric capacity drift compensation calculating, noise is carried out to the data after electric capacity drift compensation and eliminates calculating.
8. gesture identification method according to claim 7, it is characterised in that:
Complete after the noise eliminates and calculate, the data after being eliminated to noise are normalized calculatings, calculating movement tendency and The data of the position of induction point are the data after normalization calculating.
9. computer installation, including processor and memory, the processor is used to perform the calculating stored in the memory Realized during machine program as described in any one in claim 1 to 8 the step of gesture identification method.
10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that:The computer program Realized when being executed by processor as described in any one in claim 1 to 8 the step of gesture identification method.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108279846A (en) * 2018-01-31 2018-07-13 北京硬壳科技有限公司 A kind of gesture model establishes, the method and device of gesture authentication
CN109635665A (en) * 2018-11-16 2019-04-16 惠州拓邦电气技术有限公司 A kind of electric appliance gestural control method, device and kitchen appliance
CN109814725A (en) * 2019-02-28 2019-05-28 防灾科技学院 A kind of gesture interaction method and system
CN110796767A (en) * 2019-10-31 2020-02-14 的卢技术有限公司 Method and system for realizing key-free automobile key control based on gesture recognition
CN111290690A (en) * 2020-01-15 2020-06-16 Oppo(重庆)智能科技有限公司 Terminal control method and device, mobile terminal and storage medium
CN113031817A (en) * 2021-03-19 2021-06-25 安徽宝信信息科技有限公司 Multi-point touch gesture recognition method and false touch prevention method
CN113419527A (en) * 2021-06-18 2021-09-21 深圳市银星智能科技股份有限公司 Induction control method of self-moving equipment and self-moving equipment
CN117742502A (en) * 2024-02-08 2024-03-22 安徽大学 Dual-mode gesture recognition system and method based on capacitance and distance sensor

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3144400B2 (en) * 1998-11-13 2001-03-12 日本電気株式会社 Gesture recognition device and method
CN102339154A (en) * 2010-07-16 2012-02-01 谊达光电科技股份有限公司 Gesture detection method for proximity induction
CN102866774A (en) * 2012-08-22 2013-01-09 华为终端有限公司 Electronic equipment alarm clock control method and electronic equipment
CN103221905A (en) * 2011-10-21 2013-07-24 智点科技(深圳)有限公司 Drive method for active touch control system
CN103270478A (en) * 2010-11-08 2013-08-28 纳米技术方案公司 Method for detecting an object of interest in a disrupted environment, and gesture interface device implementing said method
CN103631463A (en) * 2012-08-24 2014-03-12 智点科技(深圳)有限公司 Digital capacitive touch panel
CN103793922A (en) * 2013-09-12 2014-05-14 电子科技大学 Real-time detection method for specific attitude
CN103984456A (en) * 2014-04-28 2014-08-13 惠州市德帮实业有限公司 Capacitive touch screen-based gesture sensing device and capacitive touch screen-based gesture recognition method
CN203894733U (en) * 2014-04-22 2014-10-22 深圳莱宝高科技股份有限公司 Touch device
CN104238787A (en) * 2013-06-08 2014-12-24 深圳市联思精密机器有限公司 Touch control type flat panel display
US20140376773A1 (en) * 2013-06-21 2014-12-25 Leap Motion, Inc. Tunable operational parameters in motion-capture and touchless interface operation
CN106484105A (en) * 2016-09-20 2017-03-08 努比亚技术有限公司 A kind of method and device realizing gesture identification

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3144400B2 (en) * 1998-11-13 2001-03-12 日本電気株式会社 Gesture recognition device and method
CN102339154A (en) * 2010-07-16 2012-02-01 谊达光电科技股份有限公司 Gesture detection method for proximity induction
CN103270478A (en) * 2010-11-08 2013-08-28 纳米技术方案公司 Method for detecting an object of interest in a disrupted environment, and gesture interface device implementing said method
CN103221905A (en) * 2011-10-21 2013-07-24 智点科技(深圳)有限公司 Drive method for active touch control system
CN102866774A (en) * 2012-08-22 2013-01-09 华为终端有限公司 Electronic equipment alarm clock control method and electronic equipment
CN103631463A (en) * 2012-08-24 2014-03-12 智点科技(深圳)有限公司 Digital capacitive touch panel
CN104238787A (en) * 2013-06-08 2014-12-24 深圳市联思精密机器有限公司 Touch control type flat panel display
US20140376773A1 (en) * 2013-06-21 2014-12-25 Leap Motion, Inc. Tunable operational parameters in motion-capture and touchless interface operation
CN103793922A (en) * 2013-09-12 2014-05-14 电子科技大学 Real-time detection method for specific attitude
CN203894733U (en) * 2014-04-22 2014-10-22 深圳莱宝高科技股份有限公司 Touch device
CN103984456A (en) * 2014-04-28 2014-08-13 惠州市德帮实业有限公司 Capacitive touch screen-based gesture sensing device and capacitive touch screen-based gesture recognition method
CN106484105A (en) * 2016-09-20 2017-03-08 努比亚技术有限公司 A kind of method and device realizing gesture identification

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108279846A (en) * 2018-01-31 2018-07-13 北京硬壳科技有限公司 A kind of gesture model establishes, the method and device of gesture authentication
CN109635665A (en) * 2018-11-16 2019-04-16 惠州拓邦电气技术有限公司 A kind of electric appliance gestural control method, device and kitchen appliance
CN109814725A (en) * 2019-02-28 2019-05-28 防灾科技学院 A kind of gesture interaction method and system
CN109814725B (en) * 2019-02-28 2022-01-18 防灾科技学院 Gesture interaction method and system
CN110796767A (en) * 2019-10-31 2020-02-14 的卢技术有限公司 Method and system for realizing key-free automobile key control based on gesture recognition
CN111290690A (en) * 2020-01-15 2020-06-16 Oppo(重庆)智能科技有限公司 Terminal control method and device, mobile terminal and storage medium
CN111290690B (en) * 2020-01-15 2021-12-14 Oppo(重庆)智能科技有限公司 Terminal control method and device, mobile terminal and storage medium
CN113031817A (en) * 2021-03-19 2021-06-25 安徽宝信信息科技有限公司 Multi-point touch gesture recognition method and false touch prevention method
CN113031817B (en) * 2021-03-19 2024-01-19 安徽宝信信息科技有限公司 Multi-touch gesture recognition method and false touch prevention method
CN113419527A (en) * 2021-06-18 2021-09-21 深圳市银星智能科技股份有限公司 Induction control method of self-moving equipment and self-moving equipment
CN117742502A (en) * 2024-02-08 2024-03-22 安徽大学 Dual-mode gesture recognition system and method based on capacitance and distance sensor
CN117742502B (en) * 2024-02-08 2024-05-03 安徽大学 Dual-mode gesture recognition system and method based on capacitance and distance sensor

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Application publication date: 20180109