CN110580097A - Touch gesture recognition system and method - Google Patents
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Abstract
The invention belongs to the technical field of fingerprint identification, and provides a touch gesture identification system and method. The system comprises: the acquisition device is used for acquiring a fingerprint touch signal, converting the fingerprint touch signal into a voltage analog signal and sending the voltage analog signal to the signal processing module; the signal processing module is used for preprocessing the voltage analog signal, converting the preprocessed voltage analog signal into a digital signal and sending the digital signal to the judging module; and the judging module is used for judging whether the digital signal meets a preset condition or not and determining the fingerprint gesture according to a judgment result. The fingerprint touch control signal acquisition device can acquire fingerprints and judge the touch control gestures of the fingerprints at the same time, and is accurate in fingerprint touch control signal acquisition and simple in circuit.
Description
Technical Field
The invention belongs to the technical field of fingerprint identification, and particularly relates to a touch gesture identification system and method.
background
With the development of scientific technology, the technology of fingerprint identification is more and more mature, and fingerprint identification is introduced in more and more fields, such as mobile phones, computers, access locks, payment fields and the like.
However, the function of fingerprint identification is increasingly limited, for example, a mobile phone can only perform an unlocking function by using a fingerprint, and cannot perform other convenient operations in the process of fingerprint identification, such as double-click photographing and sliding to open an interface. In the existing gesture recognition system, due to the fact that a circuit is complex and signal acquisition noise is large, the accuracy of gesture judgment is low.
Disclosure of Invention
In view of this, the present invention provides a touch gesture recognition system and method, which aim to solve the problems of single fingerprint recognition function and low recognition rate of the gesture recognition system in the prior art.
A first aspect of an embodiment of the present invention provides a touch gesture recognition system, including: the device comprises an acquisition device, a signal processing module and a judgment module;
The acquisition device is used for acquiring a fingerprint touch signal, converting the fingerprint touch signal into a voltage analog signal and sending the voltage analog signal to the signal processing module;
The signal processing module is used for preprocessing the voltage analog signal, converting the preprocessed voltage analog signal into a digital signal and sending the digital signal to the judging module;
The judging module is used for judging whether the digital signals meet preset conditions or not and determining the fingerprint gesture according to the judging result.
optionally, the collecting device includes: a sensing unit and a signal conversion unit;
the sensing unit is used for collecting fingerprint touch signals in at least four directions;
The signal conversion unit is used for converting the fingerprint touch signals in at least four directions into corresponding voltage analog signals.
optionally, the signal conversion unit includes: a first transistor, a second transistor, and a third transistor;
the source electrode of the first transistor is connected with an external power supply, the grid electrode of the first transistor is connected with the sensing unit, and the drain electrode of the first transistor is connected with the source electrode of the second transistor;
the grid electrode of the second transistor is connected with an external power supply, the grid electrode of the second transistor is also connected with the source electrode of the third transistor, and the drain electrode of the second transistor is grounded;
the grid electrode of the third transistor is connected with an external signal source, the drain electrode of the third transistor is connected with the source electrode of the second transistor, and the drain electrode of the third transistor is also connected with the signal processing module.
optionally, the signal processing module includes: the device comprises a preprocessing unit and an analog-to-digital conversion unit;
The preprocessing unit is used for preprocessing the voltage analog signal;
The analog-to-digital conversion unit is used for converting the preprocessed voltage analog signal into the digital signal.
Optionally, the preprocessing unit includes: a filter, an analog subtractor and an amplifier;
The filter carries out filtering processing on the voltage analog signal;
The analog subtractor adjusts the filtered voltage analog signal to output a reference voltage analog signal;
And the amplifier amplifies the reference voltage analog signal.
Optionally, the preset conditions include: triggering threshold values and preset triggering time sequence conditions;
the judgment module is specifically configured to: judging whether the absolute value of the digital signal is greater than the trigger threshold value or not, and determining to be triggered when the absolute value of the digital signal is greater than the trigger threshold value; and
and when the trigger is determined, judging whether the fingerprint trigger time sequence meets the preset trigger time sequence condition according to the digital signal, and determining the fingerprint gesture according to the judgment result.
optionally, the determining module is further configured to: updating the trigger threshold in real time.
A second aspect of the embodiments of the present invention provides a touch gesture recognition method, including:
collecting a fingerprint touch signal, and converting the fingerprint touch signal into a voltage analog signal;
Preprocessing the voltage analog signal, and converting the preprocessed voltage analog signal into a digital signal;
And judging whether the digital signal meets a preset condition or not, and determining the fingerprint gesture according to a judgment result.
Optionally, the preprocessing the voltage analog signal includes:
Filtering the voltage analog signal;
adjusting the filtered voltage analog signal to output a reference voltage analog signal;
And amplifying the reference voltage analog signal.
Optionally, the preset conditions include: triggering threshold values and preset triggering time sequence conditions;
The judging whether the digital signal meets a preset condition or not and the determining of the fingerprint gesture according to the judgment result comprise:
judging whether the absolute value of the digital signal is greater than the trigger threshold value or not, and determining to be triggered when the absolute value of the digital signal is greater than the trigger threshold value;
and when the trigger is determined, judging whether the fingerprint trigger time sequence meets the preset trigger time sequence condition according to the digital signal, and determining the fingerprint gesture according to the judgment result.
compared with the prior art, the touch gesture recognition system and method in the embodiment of the invention have the beneficial effects that: the acquisition device converts the acquired fingerprint touch signal into a voltage analog signal and sends the voltage analog signal to the signal processing module; then the signal processing module preprocesses the voltage analog signal, converts the voltage analog signal into a digital signal and sends the digital signal to the judging module; and finally, judging whether the digital signal meets a preset condition or not by a judging module, and determining the fingerprint gesture according to a judging result, so that the touch gesture of the fingerprint is judged while the fingerprint signal is collected, and the touch gesture is judged accurately and the circuit is simple.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a touch gesture recognition system according to an embodiment of the present invention;
Fig. 2 is a schematic structural diagram of another touch gesture recognition system according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of a sensing unit according to an embodiment of the present invention;
Fig. 4 is a circuit diagram of a signal conversion unit according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating a baseline output of a signal processing module according to an embodiment of the present invention;
fig. 6 is a schematic flow chart illustrating an implementation of a touch gesture recognition method according to a second embodiment of the present invention;
Fig. 7 is a flowchart illustrating an implementation of step 502 in fig. 5 according to a second embodiment of the present invention;
fig. 8 is a flowchart illustrating a specific implementation of step 503 in fig. 5 according to a second embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
in order to explain the technical means of the present invention, the following description will be given by way of specific examples.
example one
referring to fig. 1 and fig. 2, a touch gesture recognition system according to an embodiment of the present invention includes an acquisition device 100, a signal processing module 200, and a determination module 300.
The acquisition device 100 is connected to the signal processing module 200, and the signal processing module 200 is connected to the judgment module 300.
The acquisition device 100 acquires a fingerprint touch signal, converts the fingerprint touch signal into a voltage analog signal and sends the voltage analog signal to the signal processing module 200; the signal processing module 200 preprocesses the voltage analog signal, converts the preprocessed voltage analog signal into a digital signal and sends the digital signal to the judging module 300; the judgment module 300 judges whether the digital signal meets a preset condition, and determines a fingerprint gesture according to a judgment result.
In specific application, the touch gesture recognition system further includes a fingerprint signal collecting module, when a user places a finger in the touch gesture recognition system, the fingerprint signal collecting module collects a fingerprint signal to obtain fingerprint information, meanwhile, the collecting device 100 can sense the touch force of the fingerprint through the sensing device to obtain the fingerprint touch signal, then converts the fingerprint touch signal into a voltage analog signal, converts the fingerprint touch signal into a digital signal through the preprocessing of the signal processing module 200, and the determining module 300 determines which fingerprint gesture the digital signal belongs to according to a preset condition.
alternatively, the acquisition device 100 may be connected in parallel with the fingerprint signal acquisition module. The touch gesture recognition system can process two paths of signals at the same time, wherein one path is a fingerprint information signal, the fingerprint information signal is processed and transmitted to the fingerprint recognition module for fingerprint recognition, the other path is a fingerprint touch signal, and the touch gesture of the fingerprint is judged in the judgment module 300 through the processing of the fingerprint touch signal.
in the touch gesture recognition system, the acquisition device 100 converts the acquired fingerprint touch signal into a voltage analog signal and sends the voltage analog signal to the signal processing module 200; then the signal processing module 200 preprocesses the voltage analog signal, converts the voltage analog signal into a digital signal and sends the digital signal to the judging module 300; finally, the judgment module 300 judges whether the digital signal meets the preset condition or not, and determines the fingerprint gesture according to the judgment result, so that the touch gesture of the fingerprint is judged while the fingerprint signal is collected, and the judgment of the touch gesture is accurate, and the circuit is simple.
further, referring to fig. 2, in one embodiment, the collecting apparatus 100 includes: a sensing unit 110 and a signal conversion unit 120.
the sensing unit 110 is configured to collect fingerprint touch signals in at least four directions; the signal conversion unit 120 is configured to convert the fingerprint touch signals in the at least four directions into corresponding voltage analog signals.
optionally, the sensing unit 110 includes: at least four touch sensing devices.
The at least four touch sensing devices are respectively arranged in at least four directions of the fingerprint sensing device.
For example, referring to fig. 3, the sensing unit 110 includes four touch sensors, namely a first touch sensor Sc0, a second touch sensor Sc1, a third touch sensor Sc2 and a fourth touch sensor Sc 3; the four touch sensors are respectively arranged in positions parallel to the four sides of the fingerprint sensing device, and the touch signals are sensed by top layer metal of the touch sensors, so that the acquired touch signals are more accurate. The fingerprint sensing device is a quadrilateral fingerprint acquisition device formed by a plurality of sensing elements, such as a square shape, a rectangular shape and the like.
In addition, the four touch sensors and the fingerprint sensing device are connected in parallel, and fingerprint touch signals acquired by the four touch sensors are capacitance signals.
Alternatively, referring to fig. 4, the signal conversion unit 120 includes: a first transistor Q1, a second transistor Q2, and a third transistor Q3.
The source of the first transistor Q1 is connected to the external power source VDD, the gate of the first transistor Q1 is connected to the sensing unit 110, and the drain of the first transistor Q1 is connected to the source of the second transistor Q2.
The gate of the second transistor Q2 is connected to the external power source VIN, the gate of the second transistor Q2 is also connected to the source of the third transistor Q3, and the drain of the second transistor Q2 is grounded.
the gate of the third transistor Q3 is connected to an external signal source en, the drain of the third transistor Q3 is connected to the source of the second transistor Q2, and the drain of the third transistor Q3 is also connected to the signal processing module 200.
optionally, each of the transistors may be a MOS (Metal Oxide Semiconductor) transistor. It should be understood that, in this embodiment, the type of each transistor is not limited to a MOS transistor, and may be an NMOS (N-type Metal Oxide Semiconductor) transistor, or may be a PMOS (P-channel Metal Oxide Semiconductor) transistor.
The connection between each transistor in the signal conversion unit 120 converts the capacitance signal of the sensing unit 110, i.e., the fingerprint touch signal, into a voltage analog signal, and outputs the voltage analog signal to the signal processing module 200.
Above-mentioned collection system 100 can gather the fingerprint touch-control signal of four at least directions when gathering the fingerprint signal, can accurately acquire the dynamics of finger touch-control and the direction of finger touch-control, and then accurately judge the touch-control finger of fingerprint according to dynamics and direction, improves gesture identification's rate of accuracy.
Further, referring to fig. 2, in one embodiment, the signal processing module 200 includes: a preprocessing unit 210 and an analog-to-digital conversion unit 220.
The preprocessing unit 210 is configured to preprocess the voltage analog signal; the analog-to-digital conversion unit 220 is configured to convert the preprocessed voltage analog signal into the digital signal.
Optionally, the preprocessing unit 210 includes: a filter, an analog subtractor and an amplifier.
the input end of the filter is connected with the signal conversion unit 120 of the acquisition device 100, and the output end of the filter is connected with the input end of the analog subtractor; the output end of the analog subtracter is connected with the input end of the amplifier; the output of the amplifier is connected to an analog-to-digital conversion unit 220.
Specifically, the filter performs filtering processing on the voltage analog signal; the analog subtractor adjusts the filtered voltage analog signal to output a reference voltage analog signal; and the amplifier amplifies the reference voltage analog signal. The analog subtractor also receives a touch reference signal of an external signal source, adjusts the voltage analog signal according to the touch reference signal, and outputs a reference voltage analog signal, so that the reference voltage analog signal is more accurate.
Optionally, the preprocessing unit 210 further includes a filter for performing filtering processing on the amplified reference voltage analog signal. The amplified reference voltage analog signal is filtered again, so that a noise signal generated in the amplification process can be filtered, the waveform of the output reference voltage analog signal is more accurate, the noise is low, the interference of the noise to the signal is reduced, and the reference voltage analog signal is more accurate.
Alternatively, the Analog-to-Digital conversion unit 220 may be an ADC (Analog-to-Digital Converter). It should be understood that the specific structure of the analog-to-digital conversion unit 220 is not limited in this embodiment, and may be an ADC, another analog-to-digital conversion device, an analog-to-digital conversion circuit, or the like.
The signal processing module 200 performs filtering, adjustment and amplification on the voltage analog signal, and performs analog-to-digital conversion, so that the digital signal output to the judgment module is more accurate, and the accuracy of gesture recognition is further improved.
Further, the preset conditions include: a trigger threshold and a preset trigger timing condition.
The trigger threshold is the lowest trigger value which can reach the trigger state, and whether the trigger is triggered can be judged according to the trigger threshold.
the preset trigger timing condition is a condition that which gesture is determined according to the currently triggered timing, that is, signals of different timings can be collected by the sensing devices in at least four directions due to different trigger gestures. For example, when a user touches from left to right, the sensing device at the left end first acquires a touch signal, and the sensing device at the right end then acquires a touch signal, that is, the sensing devices at the left and right ends acquire touch signals of different time sequences.
Specifically, the determining module 330 is configured to determine whether the absolute value of the digital signal is greater than the trigger threshold, and determine that the digital signal is triggered when the absolute value of the digital signal is greater than the trigger threshold.
And when the trigger is determined, judging whether the fingerprint trigger time sequence meets the preset trigger time sequence condition according to the digital signal, and determining the fingerprint gesture according to the judgment result.
For example, referring to fig. 3, fingerprint touch signals acquired by four touch sensors are processed and then trigger, and when any two of the at least four touch sensors are triggered at the same time, it is determined as a single click; any two touch sensors in at least four directions are triggered twice at the same time, and double click is judged; when the touch sensors in the two directions, namely the up touch sensor Sc0 is triggered first and the down touch sensor Sc2 is triggered later, the gesture is determined as a down gesture, the down touch sensor Sc2 is triggered first and the up touch sensor Sc0 is triggered later, the gesture is determined as an up gesture; when the touch sensors in the left and right directions are sequentially triggered, for example, if the touch sensor Sc1 in the left direction is triggered first and the touch sensor Sc3 in the right direction is triggered, the gesture is determined as a right slide gesture, if the touch sensor Sc3 in the right direction is triggered first and the touch sensor Sc1 in the left direction is triggered, the gesture is determined as a left slide gesture.
It should be understood that the preset trigger timing condition of the determination gesture is not limited in the present embodiment, and the foregoing embodiments are only exemplary illustrations of determining the fingerprint gesture according to the determination result.
Optionally, the determining module 330 includes at least four shift registers. The data of the shift register has the principle of first-in first-out, namely when the data in the shift register is full, the first-in data is deleted firstly. Specifically, collected fingerprint touch signals in at least four directions are sequentially preprocessed and converted into digital signals, whether the signals are triggered or not is judged, the judgment results are stored in corresponding shift registers, namely the judgment results of the fingerprint touch signals in one direction are stored in the corresponding shift registers, and the judgment results of the fingerprint touch signals in each direction and the shift registers are stored in a one-to-one correspondence mode. The number of the shift registers is equal to the number of the fingerprint touch signals.
optionally, the depth of the shift register is 20. Namely, the shift register can continuously store the judgment results for 20 times, so that the judgment results stored before can be memorized, the operation speed of the judgment module 300 cannot be influenced, and the gesture recognition speed is ensured. It should be understood that the depth of the shift register is not particularly limited in the present embodiment.
optionally, the determining module 100 is further configured to: updating the trigger threshold in real time.
specifically, the determining module 100 updates the trigger threshold in real time according to the baseline output by the signal processing module 200. The baseline value output by the signal processing module 200 increases, and the trigger threshold also increases; the baseline value output by the signal processing module 200 decreases, and the trigger threshold also decreases, i.e. the size of the baseline determines the sensitivity of the acquisition device 100.
Referring to fig. 5, when the touch sensing device is not touched, the signal output by the signal processing module 200 may be a baseline b, but the signal processing module 200 may be interfered by noise, and the output baseline may jitter, so that a positive noise baseline b + a and a negative noise baseline b-a are formed, where the positive noise baseline b + a is a baseline formed by the positive jitter of the signal output by the signal processing module 200, and the negative noise baseline b-a is a baseline formed by the negative jitter of the signal output by the signal processing module 200.
The judgment module 100 updates the trigger threshold in real time according to the baseline b output by the signal processing module 200, and when the value of the baseline b changes, the trigger threshold will also change accordingly.
Optionally, the method for updating the baseline includes:
a first storage space and a second storage space are provided.
under the condition of no touch, when the baseline value N output by the signal processing module 200 is within a first preset range, storing the difference between the baseline value N and the positive noise baseline value b + a into a first storage space.
specifically, under the condition of no touch, when the baseline value N output by the signal processing module 200 is within a first preset range, the value of N- (b + a) is stored in the first storage space.
Under the condition of no touch, when the baseline value N output by the signal processing module 200 is within a second preset range, storing the difference between the baseline value N and the negative noise baseline value b-a into a second storage space.
Specifically, under the condition of no touch, when the baseline value N output by the signal processing module 200 is within a second preset range, the values of (b-a) -N are stored in the second storage space.
When the first storage space is full, updating the baseline b, and clearing 0 the first storage space; and when the second storage space is full, updating the baseline b, and clearing 0 the second storage space.
Specifically, the baseline b increases when the first storage space is full, and decreases when the second storage space is full. The embodiment does not limit the difference between the increase and the decrease of the baseline b, for example, after the first storage space is full, the value of the baseline b may be increased to b +1, and when the second storage space is full, the value of the baseline b may be decreased to b-10.
In a specific application, the first storage space and the second storage space should be guaranteed to be larger. The large storage space of the first storage space is used for ensuring that the value of the base line b cannot be increased too fast, so that the phenomenon that the trigger threshold value is too large due to the fact that the base line b rises fast is avoided, and if the trigger threshold value is too large, a fingerprint touch signal of a user can not reach the trigger threshold value all the time when the user triggers the sensor, and therefore detection failure is caused; the storage space of the second storage space is large to avoid a sudden change of the environment, for example, the acquisition device 100 is in a wet interface environment before the power is turned on, and then the baseline value will decrease rapidly after the interface is wiped away, and if the interface is touched immediately, the fingerprint touch signal is lower than the determination threshold value and cannot be determined to be triggered because the trigger threshold value is still at a high level.
the baseline self-adaptive automatic updating method is used for adapting to slow changes of the acquisition device 100 corresponding to environments such as humidity and temperature, and meanwhile, the trigger threshold is updated in real time, so that the acquisition device 100 can accurately acquire fingerprint touch signals, and the accuracy of gesture recognition is ensured.
optionally, the determining module 300 may be an MCU (micro controller Unit).
The judgment module 300 compares the value of the digital signal with the trigger threshold to judge whether the digital signal is triggered, judges the trigger gesture according to the preset trigger timing condition, and updates the trigger threshold in real time, so that the touch gesture of the fingerprint can be accurately judged, the accuracy of gesture recognition is improved, and meanwhile, the integrated chip is used as a main device, so that the circuit of the recognition system is simplified.
In the above embodiment, the fingerprint touch signal is collected by the collecting device 100, converted into a voltage analog signal, and sent to the signal processing module 200; then, the signal processing module 200 preprocesses the voltage analog signal, converts the preprocessed voltage analog signal into a digital signal and sends the digital signal to the judging module 300; finally, the judgment module 300 judges whether the digital signal meets the preset condition, and determines the fingerprint gesture according to the judgment result, so that the touch gesture of the fingerprint is judged while the fingerprint signal is collected, and the touch gesture judgment is accurate and the circuit is simple.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Example two
Corresponding to the touch gesture recognition system in the first embodiment, the present embodiment provides a touch gesture recognition method. Referring to fig. 6, a schematic flow chart of an implementation of the touch gesture recognition method is provided, which is detailed as follows:
s601, collecting a fingerprint touch signal, and converting the fingerprint touch signal into a voltage analog signal.
specifically, fingerprint touch signals in at least four directions are collected, and the fingerprint touch signals in the at least four directions are converted into corresponding voltage analog signals.
The collected fingerprint touch signal is a capacitance signal. And converting the collected capacitance signal into a voltage analog signal.
S602, preprocessing the voltage analog signal, and converting the preprocessed voltage analog signal into a digital signal.
Further, referring to fig. 7, in an embodiment, the specific implementation process of preprocessing the voltage analog signal in step S602 includes:
and S701, filtering the voltage analog signal.
s702, the filtered voltage analog signal is adjusted to output a reference voltage analog signal.
Specifically, a path of touch reference signal of an external signal source is obtained, the voltage analog signal is adjusted according to the touch reference signal, and a reference voltage analog signal is output, so that the reference voltage analog signal is more accurate.
And S703, amplifying the reference voltage analog signal.
Optionally, the amplified reference voltage analog signal is filtered, so that a noise signal generated in the amplification process is filtered, the waveform of the output reference voltage analog signal is more accurate, the noise is low, the interference of noise to the signal is reduced, and the reference voltage analog signal is more accurate.
S603, judging whether the digital signal meets a preset condition or not, and determining the fingerprint gesture according to the judgment result.
Optionally, the preset conditions include: a trigger threshold and a preset trigger timing condition.
the trigger threshold is the lowest trigger value which can reach the trigger state, and whether the trigger is triggered can be judged according to the trigger threshold.
The preset trigger timing condition is a condition that which gesture is determined according to the currently triggered timing, that is, signals of different timings can be collected by the sensing devices in at least four directions due to different trigger gestures. For example, when a user touches from left to right, the sensing device at the left end first acquires a touch signal, and the sensing device at the right end then acquires a touch signal, that is, the sensing devices at the left and right ends acquire touch signals of different time sequences.
Further, referring to fig. 8, in an embodiment, the determining whether the digital signal meets the preset condition in step S603 includes, according to the determination result, determining that the fingerprint gesture is implemented in a specific process that includes:
S801, judging whether the absolute value of the digital signal is larger than the trigger threshold value or not, and determining to be triggered when the absolute value of the digital signal is larger than the trigger threshold value.
s802, when the trigger is determined, judging whether the fingerprint trigger time sequence meets the preset trigger time sequence condition according to the digital signal, and determining the fingerprint gesture according to the judgment result.
For example, referring to fig. 3, fingerprint touch signals collected by four touch sensors are respectively a touch sensor Sc0, a touch sensor Sc1, a touch sensor Sc2 and a touch sensor Sc 3; processing fingerprint touch signals correspondingly acquired by the four touch sensors, and then judging triggering, wherein when any two touch sensors in at least four directions are triggered at the same time, the triggering is judged to be clicking; any two touch sensors in at least four directions are triggered twice at the same time, and double click is judged; when the touch sensors in the two directions, namely the up touch sensor Sc0 is triggered first and the down touch sensor Sc2 is triggered later, the gesture is determined as a down gesture, the down touch sensor Sc2 is triggered first and the up touch sensor Sc0 is triggered later, the gesture is determined as an up gesture; when the touch sensors in the left and right directions are sequentially triggered, for example, if the touch sensor Sc1 in the left direction is triggered first and the touch sensor Sc3 in the right direction is triggered, the gesture is determined as a right slide gesture, if the touch sensor Sc3 in the right direction is triggered first and the touch sensor Sc1 in the left direction is triggered, the gesture is determined as a left slide gesture.
Further, in an embodiment, the touch gesture recognition method further includes: updating the trigger threshold in real time.
Specifically, the trigger threshold is updated in real time based on a baseline. The baseline value increases, as does the trigger threshold; the baseline value decreases, and the trigger threshold also decreases, i.e. the size of the baseline determines the sensitivity of the device for collecting fingerprint touch signals.
Referring to fig. 5, when the touch sensing device is not touched, the baseline value is b, and when the touch sensing device is interfered by noise, the output baseline may shake, a positive noise baseline b + a and a negative noise baseline b-a are formed, where the positive noise baseline b + a is a baseline formed by the positive shaking of the baseline b, and the negative noise baseline b-a is a baseline formed by the negative shaking of the baseline b.
And updating the trigger threshold in real time according to the baseline b, wherein when the value of the baseline b changes, the trigger threshold also changes.
Optionally, the method for updating the baseline includes:
A first storage space and a second storage space are provided.
Under the condition of no touch, when the baseline value N is within a first preset range, storing the difference value between the baseline value N and the positive noise baseline value b + a into a first storage space.
Specifically, under the condition of no touch, when the baseline value N is within a first preset range, the value of N- (b + a) is stored in the first storage space.
And under the condition of no touch, when the baseline value N is within a second preset range, storing the difference value between the baseline value N and the negative noise baseline value b-a into a second storage space.
Specifically, under the condition of no touch, when the baseline value N is within a second preset range, the values of (b-a) -N are stored into a second storage space.
When the first storage space is full, updating the baseline b, and clearing 0 the first storage space; and when the second storage space is full, updating the baseline b, and clearing 0 the second storage space.
Specifically, the baseline b increases when the first storage space is full, and decreases when the second storage space is full. The embodiment does not limit the difference between the increase and the decrease of the baseline b, for example, after the first storage space is full, the value of the baseline b may be increased to b +1, and when the second storage space is full, the value of the baseline b may be decreased to b-10.
In a specific application, the first storage space and the second storage space should be guaranteed to be larger. The large storage space of the first storage space is used for ensuring that the value of the base line b cannot be increased too fast, so that the phenomenon that the trigger threshold value is too large due to the fact that the base line b rises fast is avoided, and if the trigger threshold value is too large, a fingerprint touch signal of a user can not reach the trigger threshold value all the time when the user triggers the sensor, and therefore detection failure is caused; the storage space of the second storage space is large to avoid sudden environment changes, for example, the acquisition device is in a wet interface environment before the device is started, then after the interface is wiped, the baseline value will rapidly decrease, and if the interface is touched immediately, the fingerprint touch signal is lower than the judgment threshold value and cannot be triggered because the triggering threshold value is still at a high level. The method for automatically updating the baseline in a self-adaptive manner is used for adapting to the slow change of the acquisition device corresponding to the environment such as humidity, temperature and the like, and updating the trigger threshold value in real time, so that the acquisition device accurately acquires fingerprint touch signals, and the accuracy of gesture recognition is ensured.
In the above embodiment, the fingerprint touch signal is converted into the voltage analog signal by collecting the fingerprint touch signal; then preprocessing the voltage analog signal, and converting the preprocessed voltage analog signal into a digital signal; and finally, judging whether the digital signal meets a preset condition or not, and determining a fingerprint gesture according to a judgment result, so that the touch gesture of the fingerprint is judged while the fingerprint signal is collected, and the touch gesture is judged accurately and the circuit is simple.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A touch gesture recognition system, comprising: the device comprises an acquisition device, a signal processing module and a judgment module;
The acquisition device is used for acquiring a fingerprint touch signal, converting the fingerprint touch signal into a voltage analog signal and sending the voltage analog signal to the signal processing module;
the signal processing module is used for preprocessing the voltage analog signal, converting the preprocessed voltage analog signal into a digital signal and sending the digital signal to the judging module;
The judging module is used for judging whether the digital signals meet preset conditions or not and determining the fingerprint gesture according to the judging result.
2. The touch gesture recognition system of claim 1, wherein the acquisition device comprises: a sensing unit and a signal conversion unit;
The sensing unit is used for collecting fingerprint touch signals in at least four directions;
the signal conversion unit is used for converting the fingerprint touch signals in at least four directions into corresponding voltage analog signals.
3. the touch gesture recognition system of claim 2, wherein the signal conversion unit comprises: a first transistor, a second transistor, and a third transistor;
the source electrode of the first transistor is connected with an external power supply, the grid electrode of the first transistor is connected with the sensing unit, and the drain electrode of the first transistor is connected with the source electrode of the second transistor;
the grid electrode of the second transistor is connected with an external power supply, the grid electrode of the second transistor is also connected with the source electrode of the third transistor, and the drain electrode of the second transistor is grounded;
The grid electrode of the third transistor is connected with an external signal source, the drain electrode of the third transistor is connected with the source electrode of the second transistor, and the drain electrode of the third transistor is also connected with the signal processing module.
4. The touch gesture recognition system of claim 1, wherein the signal processing module comprises: the device comprises a preprocessing unit and an analog-to-digital conversion unit;
The preprocessing unit is used for preprocessing the voltage analog signal;
The analog-to-digital conversion unit is used for converting the preprocessed voltage analog signal into the digital signal.
5. The touch gesture recognition system of claim 4, wherein the preprocessing unit comprises: a filter, an analog subtractor and an amplifier;
the filter carries out filtering processing on the voltage analog signal;
the analog subtractor adjusts the filtered voltage analog signal to output a reference voltage analog signal;
And the amplifier amplifies the reference voltage analog signal.
6. The touch gesture recognition system according to any one of claims 1 to 5, wherein the preset condition includes: triggering threshold values and preset triggering time sequence conditions;
The judgment module is specifically configured to: judging whether the absolute value of the digital signal is greater than the trigger threshold value or not, and determining to be triggered when the absolute value of the digital signal is greater than the trigger threshold value; and
And when the trigger is determined, judging whether the fingerprint trigger time sequence meets the preset trigger time sequence condition according to the digital signal, and determining the fingerprint gesture according to the judgment result.
7. The touch gesture recognition system of claim 6, wherein the determination module is further configured to: updating the trigger threshold in real time.
8. A touch gesture recognition method is characterized by comprising the following steps:
Collecting a fingerprint touch signal, and converting the fingerprint touch signal into a voltage analog signal;
preprocessing the voltage analog signal, and converting the preprocessed voltage analog signal into a digital signal;
and judging whether the digital signal meets a preset condition or not, and determining the fingerprint gesture according to a judgment result.
9. The touch gesture recognition method of claim 8, wherein the preprocessing the voltage analog signal comprises:
filtering the voltage analog signal;
adjusting the filtered voltage analog signal to output a reference voltage analog signal;
and amplifying the reference voltage analog signal.
10. the touch gesture recognition method according to any one of claims 8 to 9, wherein the preset condition includes: triggering threshold values and preset triggering time sequence conditions;
The judging whether the digital signal meets a preset condition or not and the determining of the fingerprint gesture according to the judgment result comprise:
Judging whether the absolute value of the digital signal is greater than the trigger threshold value or not, and determining to be triggered when the absolute value of the digital signal is greater than the trigger threshold value;
And when the trigger is determined, judging whether the fingerprint trigger time sequence meets the preset trigger time sequence condition according to the digital signal, and determining the fingerprint gesture according to the judgment result.
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