CN107526957A - Unlocking method, mobile terminal and storage medium - Google Patents
Unlocking method, mobile terminal and storage medium Download PDFInfo
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
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- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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Abstract
The invention discloses a kind of unlocking method, mobile terminal and storage medium, belong to communication technical field.This method comprises the following steps：Obtain the biological characteristic signal of user；The biological characteristic signal of acquisition is calculated according to default formula；Judge whether the result of calculation of biological characteristic signal meets default sample data；If so, then unlock successfully.Unlocking method, mobile terminal and the storage medium of the application, identify the degree of accuracy height of biological characteristic signal and be easily achieved, suitable for polytype mobile terminal, there is preferable Consumer's Experience.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to an unlocking method, a mobile terminal, and a storage medium.
Background
At present, methods for unlocking mobile terminal products such as mobile phones are various, and the common methods mainly include: digital password unlocking, pattern unlocking, voice unlocking and the like. With the development of communication technology, mobile terminal products gradually interact with human physiological signals. Methods for determining a user based on identification of physiological signals, such as fingerprint unlocking, are gradually derived. However, in practical use, the existing fingerprint unlocking may cause unlocking failure due to the finger condition of the user, for example: when the user just washes hands or fingers are injured, the fingerprint of the user is difficult to identify by the mobile phone, and the user experience is poor. In addition, the fingerprint sensor has a larger structure, so that the stacking space inside the mobile phone is larger, and the development trend of the mobile phone towards lightness and thinness is not facilitated.
Disclosure of Invention
The invention mainly aims to provide an unlocking method, a mobile terminal and a storage medium, and aims to solve the problems that fingerprint unlocking is difficult to identify, a fingerprint sensor occupies space, and user experience is poor.
In order to achieve the above object, the present invention provides an unlocking method, including the steps of:
acquiring a biological characteristic signal of a user;
calculating the acquired biological characteristic signal according to a preset formula;
judging whether the calculation result of the biological characteristic signal accords with preset sample data or not;
and if so, unlocking successfully.
Optionally, calculating the acquired biometric signal according to a preset formula includes:
amplifying the biological characteristic signal by an amplifier;
the amplified signal is regulated to be positive voltage through a gain circuit;
and carrying out A/D signal conversion on the positive electrode signal through a singlechip.
Optionally, when the biometric signal of the user is acquired multiple times, the method further includes:
calculating the average value of the output signals after A/D conversion, and taking the average value as a biological characteristic value;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data comprises the following steps:
and judging whether the biological characteristic value is consistent with a preset biological characteristic value.
Optionally, when the biometric value is consistent with a preset biometric value, the method further includes:
generating a waveform map of the biometric values;
extracting characteristic scatter points in the oscillogram;
drawing a characteristic scatter diagram formed by a plurality of characteristic scatter points;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data includes:
and judging whether the characteristic scatter diagram is consistent with a preset oscillogram or not.
Optionally, extracting the feature scatter in the waveform map includes:
extracting R wave characteristic points in the oscillogram;
and when the R wave scatter diagram accords with preset sample data, extracting T wave feature points in the oscillogram.
In addition, in order to achieve the above object, the present invention further provides a mobile terminal, which includes a sensor, a processor, and a memory; wherein the sensor is configured to collect a biometric signal of a user, and the processor is configured to execute an unlocking program stored in the memory to perform the steps of:
acquiring a biological characteristic signal of the user acquired by the sensor;
calculating the acquired biological characteristic signal according to a preset formula;
judging whether the calculation result of the biological characteristic signal accords with preset sample data or not;
and if so, unlocking successfully.
Optionally, the mobile terminal further includes an amplifier, a gain circuit, and a single chip, and the processor is further configured to execute an unlocking program stored in the memory, so as to implement the following steps:
amplifying the biological characteristic signal by an amplifier;
the amplified signal is regulated to be positive voltage through a gain circuit;
and carrying out A/D signal conversion on the positive electrode signal through a singlechip.
Optionally, when the biometric signal of the user is acquired multiple times, the processor is further configured to execute an unlocking program stored in the memory to implement the following steps:
calculating the average value of the output signals after A/D conversion, and taking the average value as a biological characteristic value;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data comprises the following steps:
and judging whether the biological characteristic value is consistent with a preset biological characteristic value.
If yes, generating a oscillogram of the biological characteristic value;
extracting characteristic scatter points in the oscillogram;
drawing a characteristic scatter diagram formed by a plurality of characteristic scatter points;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data further comprises:
and judging whether the characteristic scatter diagram is consistent with a preset oscillogram or not.
Optionally, the processor is further configured to execute an unlocking program stored in the memory to implement the following steps:
extracting R wave characteristic points in the oscillogram;
and when the R wave scatter diagram accords with preset sample data, extracting T wave feature points in the oscillogram.
Further, to achieve the above object, the present invention also proposes a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the above-described method.
According to the unlocking method, the mobile terminal and the storage medium, the biological characteristic signal of the user is obtained, the obtained biological characteristic signal is calculated according to a preset formula, and when the calculation result of the biological characteristic signal accords with preset sample data, unlocking is successful. Compared with the prior art, the unlocking method, the mobile terminal and the storage medium have the advantages that the accuracy of identifying the biological characteristic signals is high, the biological characteristic signals are easy to realize, the method is suitable for various mobile terminals, the stacking space of the fingerprint unlocking mobile terminal is saved, and better user experience is achieved.
Drawings
Fig. 1 is a schematic diagram of a hardware structure of an alternative mobile terminal for implementing various embodiments of the present invention;
FIG. 2 is a schematic diagram of a communication network system of the mobile terminal shown in FIG. 1;
fig. 3 is a schematic flowchart of an unlocking method according to a first embodiment of the present application;
FIG. 4 is a schematic diagram of the location of a sensor in a mobile terminal;
FIG. 5 is a schematic diagram of another location of a sensor in a mobile terminal;
fig. 6 is a schematic flowchart of an unlocking method according to a second embodiment of the present application;
FIG. 7 is a pre-amplifier circuit diagram;
FIG. 8 is a post-amplifier circuit diagram;
FIG. 9 is a gain circuit diagram;
fig. 10 is another schematic flowchart of an unlocking method according to a second embodiment of the present application;
fig. 11 is a sub-flow diagram of an unlocking method according to a second embodiment of the present application.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex-Long Term Evolution), and TDD-LTE (Time Division duplex-Long Term Evolution).
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.
In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.
Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.
Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.
The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and charging functions Entity) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.
Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.
Based on the above mobile terminal hardware structure and communication network system, the present invention provides various embodiments of the method.
First embodiment
Fig. 3 is a schematic flow chart of an unlocking method according to a first embodiment of the present application. In fig. 1, the unlocking method includes the steps of:
step 310, acquiring a biological characteristic signal of a user;
step 320, calculating the acquired biological characteristic signal according to a preset formula;
step 330, judging whether the calculation result of the biological characteristic signal accords with preset sample data; if yes, go to step 340, otherwise go to step 350;
and 340, unlocking successfully.
Step 350, judging whether the frequency of acquiring the biological characteristic signal reaches a preset frequency threshold value, if so, entering step 360, and if not, returning to step 310;
step 360, the unlocking fails.
Specifically, the biometric signals in this embodiment are collected by a sensor. The sensor may be a thin film piezoelectric sensor or a pressure sensor. The sensor can be embedded into the entity key, can also be arranged below the display screen corresponding to the virtual key, and can also be arranged at other places of the mobile terminal according to requirements.
Fig. 4 is a schematic diagram illustrating a position of a sensor in a mobile terminal, and in fig. 4, the sensor is attached below a fingerprint identification module. Alternatively, as shown in fig. 5, the sensor is schematically illustrated at another position of the mobile terminal, and in fig. 5, the sensor is attached below the touch screen and corresponds to a virtual menu key (e.g., HOME key). And (3) attaching a film piezoelectric sensor or a pressure sensor with a proper size to the mobile phone structure. The sensor and the mobile phone fingerprint identification module can be attached. The attaching position is subject to the operation of a user.
Prior to step 310, the unlocking method further comprises:
and acquiring the biological characteristic signal as sample data at least once through the sensor. When data is acquired subsequently, the sample data is used for reference.
Under a preset condition, when detecting that the finger of the user contacts the effective range of the sensor, triggering the sensor to work to acquire the biometric signal of the user, where the manner of the user contacting the sensor may be touch, pressing, sliding pressing, and the like, and the embodiment is not limited specifically herein.
Further, in this embodiment, the biometric characteristic is a pulse of the user.
The preset conditions may include the following cases:
firstly, when the mobile terminal is not operated, the display screen is in a locked state. Meanwhile, when the display screen is locked, the sensing unit is in a working state.
Secondly, when the mobile terminal is restarted, the screen unlocking password needs to be input.
And thirdly, identity information confirmation is carried out inside the mobile terminal (such as an application mall) or when the installed application program logs in the account.
If any one of the three preset conditions is met, the trigger sensor is in a working state and collects biological characteristic signals (pulse) in an effective range in real time.
Furthermore, the sensor can acquire the pulse of the user in real time according to the setting of the user on the mobile terminal, so that the physical health condition of the user can be monitored in real time.
In step 320, the biometric signals collected by the sensors are calculated according to a preset formula. In the present embodiment, what is calculated and converted via the formula is the heart rate and the characteristic waveform corresponding to the biometric signal as the calculation result.
In step 330, the calculated heart rate and characteristic waveform are compared with the heart rate and characteristic waveform corresponding to the sample data, when the heart rate and characteristic waveform are all matched with the heart rate and characteristic waveform corresponding to the sample data, it is determined that the calculation result of the biological characteristic signal conforms to the preset sample data, and the process proceeds to step 340. Conversely, when the heart rate and the characteristic waveform do not match with any data of the heart rate and the characteristic waveform corresponding to the sample data, it is determined that the calculation result of the biometric signal does not match with the preset sample data, and the process proceeds to step 350.
More specifically, one of the data and the sample data is selected for judgment, and when the judgment is passed, the other data is judged. For example, whether the acquired heart rate meets the heart rate corresponding to the sample data is judged, and if yes, whether the acquired characteristic waveform meets the characteristic waveform corresponding to the sample data is judged. Or, it may also be determined whether the acquired heart rate and the acquired characteristic waveform conform to preset sample data, which is not limited in this embodiment.
In step 340, when the calculation result of the collected biometric signal conforms to the sample data, the mobile terminal is unlocked to enter a system of the mobile terminal or log in an account. Further, since different sample data corresponds to different users, and may correspond to different account information, different operating systems, and the like, step 360 is to unlock corresponding account information, operating systems, and the like. That is to say, with the unlocking method of the present embodiment, switching between an account and an operating system can also be achieved.
Further, the present application may set a weight value of the sample data, that is, as long as the calculation result of the biometric signal satisfies the set value of the sample data, the sample data is considered to be satisfied.
In step 350, when the calculation result of the acquired biometric signal does not conform to the sample data, it is further determined whether the number of times of acquiring the biometric signal reaches a preset number threshold, and if not, the process returns to 310 for re-acquisition. And under the condition of failure judgment and when the frequency of re-acquiring the biological characteristic signals reaches a preset frequency threshold value, indicating that the user is not the user corresponding to the sample data, and failing to unlock the mobile phone.
According to the unlocking method, the biological characteristic signal of the user is obtained, the obtained biological characteristic signal is calculated according to a preset formula, and when the calculation result of the biological characteristic signal accords with preset sample data, unlocking is successful. The unlocking method is high in accuracy of identifying the biological characteristic signals, easy to achieve, suitable for various mobile terminals, capable of saving stacking space of fingerprint unlocking mobile terminals and good in user experience.
Second embodiment
Fig. 6 is a schematic flowchart of an unlocking method according to a second embodiment of the present application. In a second embodiment, the unlocking method is a further improvement on the first embodiment, except that the acquired biometric signal is calculated according to a preset formula, and further comprising:
step 610, amplifying the biological characteristic signal through an amplifier;
step 620, adjusting the amplified signal to a positive voltage through a gain circuit;
and 630, performing A/D signal conversion on the positive electrode signal through a single chip microcomputer.
Specifically, in step 610, the pulse signal is a signal of weak vibration of a human body caused by the heartbeat, the original pulse signal has the characteristics of low frequency, instability, low signal-to-noise ratio and the like, is extremely sensitive to some external interferences, ensures that the pulse signal is not distorted, and amplifies the pulse signal by tens of thousands of times, which has higher requirements on an amplifier of the pulse signal. The output of the sensor circuit is a differential mode signal, which is influenced by the excitation voltage, and contains a large common mode component, and the value of the common mode component is even larger than that of the differential mode signal. In order to effectively suppress the common mode signal, the input biometric signal needs to be amplified by an amplifier, and in this embodiment, the amplifier includes a pre-amplifier and a post-amplifier.
More specifically, the preamplifier needs to have a high input impedance and a high common mode rejection ratio for amplifying the differential mode signal useful in the sensor output. The instrumentation amplifier has the characteristics of high input resistance and high common mode rejection ratio besides having a large enough amplification factor, and is widely applied to most preamplifiers of physiological electrical signal processing systems. Fig. 7 shows a pre-amplifier circuit diagram. In fig. 7, V2 and V1 are respectively from the positive and negative output terminals of the sensor, pins 7 and 4 of the preamplifier are respectively connected with positive and negative power supply ± VCC, VCC of the system is a 9V battery, and pins 7 and 4 are respectively connected with a 0.1 μ F ceramic capacitor for filtering high frequency components. The resistor between the pin 1 and the pin 8 is a gain control resistor, the amplification gain is adjusted by changing the organization of the gain control resistor, the pre-amplification gain is generally 6-10 times according to the working experience, and the saturation phenomenon of the pre-amplification circuit is prevented. The resistor R1 connected between the pin 1 and the pin 8 in the circuit is 4.7 kilo-ohm, the resistor R2 is 4.7 kilo-ohm, the resistor R3 is 6.8 kilo-ohm, and the resistor R4 is 4.7 kilo-ohm, and the resistor R1, the resistor R2, the resistor R3 and the resistor R4 are connected in series and in parallel to form a gain control resistor Rg, and the resistance value of the gain control resistor Rg is calculated according to the formula (1):
the gain is calculated according to equation (2) as:
G＝1+49.4KΩ/Rg≈10 (2)
further, the preamplifier of the present embodiment may employ an AD620AR amplifier.
The biological characteristic signal is amplified by about 10 times through the preamplifier, and the signal amplified by the preamplifier is output to the next stage from the 6 pins.
In order to suppress the common mode noise to the maximum, the present embodiment further provides a feedback loop between the preamplifier and the sensor. As shown in fig. 7, U2 is an amplifier chip of the feedback circuit. The common mode signal is amplified and then input to the 2-pin amplifier. V3 is common mode interference, and has the following relationship:
in equation (4), Rin is the internal resistance of the amplifier. From the formula (4), it can be known that the common mode signal can be ensured to be increased by setting a proper resistance value3While feeding back V3fV is increased correspondingly3But opposite in polarity, effectively rejecting common mode noise. Preferably, the formula is tested, wherein R6 ═ R7 ═ 390K, and R5 ═ 10K.
Fig. 8 is a schematic diagram of a post-circuit. In fig. 8, pins 7 and 4 are connected to positive and negative power supply ± VCC, respectively, VCC in the circuit is a 9V battery, and pins 7 and 4 are connected to a 0.1 μ F ceramic chip capacitor, respectively, for filtering high frequency components. The signal is input from the inverting input terminal of the operational amplifier, the non-inverting input terminal is connected with the compensating resistor through R11, R11 ensures the symmetry of the input stage differential amplifying circuit of the integrated operational amplifier, and the value of the compensating resistor is the equivalent resistor of the inverting input terminal when the input terminal is grounded, namely the parallel connection of the branch resistors, so that R11 is R9// R10. Assuming that the input voltage is Ui and the output voltage is Uo, since the net input voltage and the net input current are both 0, the gain of the circuit is:
because the equivalent resistance is equal to the equivalent resistance seen between the input and the virtual ground, the input resistance of the circuit is:
Ri＝R9(6)
that is to say, although the input resistance of an ideal operational amplifier is infinite, the input resistance of the inverse proportion operation circuit is not large because the circuit introduces voltage parallel negative feedback. From the above equation, to increase the input resistance, R9 is increased. However, when the value of the resistor in the circuit is too large, the stability of the resistor is poor and the noise is large due to the process; on the other hand, when the resistance value and the input of the integrated operational amplifier are in the same order of magnitude, the gain is greatly changed. Through experiments, the gain of the main amplifying circuit is designed to be 40, wherein R9-R11-100K Ω and R10-4M Ω. Due to the two-stage inverting amplifier, the phase of the pulse signal is finally adjusted back.
In step 620, as shown in fig. 9, a schematic diagram of the gain circuit in the present embodiment is shown. In fig. 9, the input voltage and the output voltage of the circuit are Ui and Uo, respectively, and the output voltage of the sliding varistor R35 is Uin. Let the current through R34 be i, the current i is calculated according to equation (7):
from the node current normal equation for R35, equation (8) results:
in equation (8), x is the resistance to the right of R35 and y is the resistance to the left.
Substituting i into equation (8) yields equation (9)
Wherein,from equation (9), equation (10) can be derived:
as can be seen from equation (10), under the condition of determined amplification factor, the potential of the output voltage can be adjusted by the variable resistor R35, when the sliding end is at the midpoint, x is y, a is 0, and the output signal has no offset; x < y, A >0, a forward direct current component is superposed on the output signal; when x > y, A <0, a negative DC component will be superimposed on the output signal. By adjusting equation (10), it is achieved that the output voltage conditions are all above voltage zero.
In step 630, the signal output in step 620 is subjected to a/D conversion by the single chip to realize conversion from an analog signal to a digital signal.
Further, in order to more accurately calculate the acquired biometric signal, as shown in fig. 10, when the biometric signal acquired for the first time is successfully determined and the biometric signal acquired for the first time is acquired multiple times in step 310, the unlocking method further includes:
step 1010, calculating the mean value of a plurality of output signals after A/D conversion, and taking the mean value as a biological characteristic value;
step 1020, judging whether the biological characteristic value is consistent with a preset biological characteristic value, if so, entering step 1030, otherwise, returning to step 310;
step 1030, generating a waveform map of the biological characteristic value;
step 1040, extracting characteristic scatter points in the oscillogram;
step 1050, drawing a characteristic scatter diagram formed by a plurality of characteristic scatter points;
step 1060, judging whether the characteristic scatter diagram is consistent with a preset waveform diagram, if so, entering step 1070, and if not, entering step 1080;
step 1070, the unlocking is successful;
step 1080, judging whether the times of acquiring the biological characteristic signals reach a preset time threshold, if so, entering step 1090, and if not, returning to step 310;
at step 1090, the unlocking fails.
Step 1010-1090 replaces step 330-360 in the first embodiment.
As shown in fig. 11, step 1040 further includes:
step 1110, extracting R wave characteristic points in the oscillogram;
and 1120, when the R wave scatter diagram accords with preset sample data, extracting T wave feature points in the oscillogram.
According to the unlocking method provided by the embodiment, the amplification circuit of the amplifier is used for amplifying the biological characteristic signal, the signal is adjusted to be the positive voltage through the gain circuit, the A/D signal is converted into the digital signal through the single chip microcomputer to obtain the heart rate of a user, when the heart rate accords with the preset sample data heart rate, the comparison between the R wave and the T wave and the sample data is sequentially carried out under the condition of collecting the signal for many times, when the judgment results of all data are consistent with the sample data, the unlocking is successful, the unlocking process is further refined, and the unlocking accuracy is improved.
Third embodiment
In another embodiment of the present application, based on the above-mentioned embodiment and with reference to fig. 1, the sensor 105 of the mobile terminal is configured to acquire a biometric signal of a user, and the processor 110 is configured to execute an unlocking program stored in the memory 109, so as to implement the following steps:
acquiring a biological characteristic signal of a user;
calculating the acquired biological characteristic signal according to a preset formula;
judging whether the calculation result of the biological characteristic signal accords with preset sample data or not; if so, the unlocking is successful, if not, whether the times of acquiring the biological characteristic signals reach a preset time threshold value is judged, if so, the unlocking is failed, and if not, the biological characteristic signals of the user are acquired again.
Specifically, the biometric signals in this embodiment are collected by a sensor. The sensor may be a thin film piezoelectric sensor or a pressure sensor. The sensor can be embedded into the entity key, can also be arranged below the display screen corresponding to the virtual key, and can also be arranged at other places of the mobile terminal according to requirements.
Fig. 4 is a schematic diagram illustrating a position of a sensor in a mobile terminal, and in fig. 4, the sensor is attached below a fingerprint identification module. Alternatively, as shown in fig. 5, the sensor is schematically illustrated at another position of the mobile terminal, and in fig. 5, the sensor is attached below the touch screen and corresponds to a virtual menu key (e.g., HOME key). And (3) attaching a film piezoelectric sensor or a pressure sensor with a proper size to the mobile phone structure. The sensor and the mobile phone fingerprint identification module can be attached. The attaching position is subject to the operation of a user.
Optionally, the processor 110 is further configured to execute an unlocking program stored in the memory 109 to implement the following steps:
and acquiring the biological characteristic signal as sample data at least once through the sensor. When data is acquired subsequently, the sample data is used for reference.
Under a preset condition, when detecting that the finger of the user contacts the effective range of the sensor, triggering the sensor to work to acquire the biometric signal of the user, where the manner of the user contacting the sensor may be touch, pressing, sliding pressing, and the like, and the embodiment is not limited specifically herein.
Further, in this embodiment, the biometric characteristic is a pulse of the user.
The preset conditions may include the following cases:
firstly, when the mobile terminal is not operated, the display screen is in a locked state. Meanwhile, when the display screen is locked, the sensing unit is in a working state.
Secondly, when the mobile terminal is restarted, the screen unlocking password needs to be input.
And thirdly, identity information confirmation is carried out inside the mobile terminal (such as an application mall) or when the installed application program logs in the account.
If any one of the three preset conditions is met, the trigger sensor is in a working state and collects biological characteristic signals (pulse) in an effective range in real time.
Furthermore, the sensor can acquire the pulse of the user in real time according to the setting of the user on the mobile terminal, so that the physical health condition of the user can be monitored in real time.
And calculating the biological characteristic signals acquired by the sensor according to a preset formula. In the present embodiment, what is calculated and converted via the formula is the heart rate and the characteristic waveform corresponding to the biometric signal as the calculation result.
And respectively comparing the calculated heart rate and the characteristic waveform with the heart rate and the characteristic waveform corresponding to the sample data, and when the heart rate and the characteristic waveform are completely identical with the heart rate and the characteristic waveform corresponding to the sample data, judging that the calculation result of the biological characteristic signal accords with the preset sample data, and successfully unlocking. On the contrary, when the heart rate and the characteristic waveform do not coincide with any data of the heart rate and the characteristic waveform corresponding to the sample data, the calculation result of the biological characteristic signal is judged not to accord with the preset sample data, and whether the frequency of acquiring the biological characteristic signal reaches the preset frequency threshold value is further judged.
More specifically, one of the data and the sample data is selected for judgment, and when the judgment is passed, the other data is judged. For example, whether the acquired heart rate meets the heart rate corresponding to the sample data is judged, and if yes, whether the acquired characteristic waveform meets the characteristic waveform corresponding to the sample data is judged. Or, it may also be determined whether the acquired heart rate and the acquired characteristic waveform conform to preset sample data, which is not limited in this embodiment.
And when the calculation result of the acquired biological characteristic signal accords with the sample data, unlocking the mobile terminal to enter a system of the mobile terminal or log in an account and the like. Further, since different sample data corresponds to different users, and may correspond to different account information, different operating systems, and the like, step 360 is to unlock corresponding account information, operating systems, and the like. That is to say, with the unlocking method of the present embodiment, switching between an account and an operating system can also be achieved.
Further, the present application may set a weight value of the sample data, that is, as long as the calculation result of the biometric signal satisfies the set value of the sample data, the sample data is considered to be satisfied.
When the calculation result of the acquired biological characteristic signal does not accord with the sample data, whether the frequency of acquiring the biological characteristic signal reaches a preset frequency threshold value or not is further judged, if not, the biological characteristic signal is acquired again, and the speed of acquiring the biological characteristic signal and the speed of the judging process are high, so that a user cannot perceive the biological characteristic signal, and the use experience of the user cannot be influenced. And under the condition of failure judgment and when the frequency of re-acquiring the biological characteristic signals reaches a preset frequency threshold value, indicating that the user is not the user corresponding to the sample data, and failing to unlock the mobile phone.
Optionally, the processor 110 is further configured to execute an unlocking program stored in the memory 109 to implement the following steps:
amplifying the biological characteristic signal by an amplifier;
the amplified signal is regulated to be positive voltage through a gain circuit;
and carrying out A/D signal conversion on the positive electrode signal through a singlechip.
Specifically, the pulse signal is a signal of weak vibration of a human body caused by heart beating, the original pulse signal has the characteristics of low frequency, instability, low signal-to-noise ratio and the like, is extremely sensitive to external interference, and has high requirements on an amplifier of the pulse signal by not distorting the pulse signal but amplifying the pulse signal by tens of thousands of times. The output of the sensor circuit is a differential mode signal, which is influenced by the excitation voltage, and contains a large common mode component, and the value of the common mode component is even larger than that of the differential mode signal. In order to effectively suppress the common mode signal, the input biometric signal needs to be amplified by an amplifier, and in this embodiment, the amplifier includes a pre-amplifier and a post-amplifier.
More specifically, the preamplifier needs to have a high input impedance and a high common mode rejection ratio for amplifying the differential mode signal useful in the sensor output. The instrumentation amplifier has the characteristics of high input resistance and high common mode rejection ratio besides having a large enough amplification factor, and is widely applied to most preamplifiers of physiological electrical signal processing systems. Fig. 7 shows a pre-amplifier circuit diagram. In fig. 7, V2 and V1 are respectively from the positive and negative output terminals of the sensor, pins 7 and 4 of the preamplifier are respectively connected with positive and negative power supply ± VCC, VCC of the system is a 9V battery, and pins 7 and 4 are respectively connected with a 0.1 μ F ceramic capacitor for filtering high frequency components. The resistor between the pin 1 and the pin 8 is a gain control resistor, the amplification gain is adjusted by changing the organization of the gain control resistor, the pre-amplification gain is generally 6-10 times according to the working experience, and the saturation phenomenon of the pre-amplification circuit is prevented. The resistor R1 connected between the pin 1 and the pin 8 in the circuit is 4.7 kilo-ohm, the resistor R2 is 4.7 kilo-ohm, the resistor R3 is 6.8 kilo-ohm, and the resistor R4 is 4.7 kilo-ohm, and the resistor R1, the resistor R2, the resistor R3 and the resistor R4 are connected in series and in parallel to form a gain control resistor Rg, and the resistance value of the gain control resistor Rg is calculated according to the formula (1):
the gain is calculated according to equation (2) as:
G＝1+49.4KΩ/Rg≈10 (2)
further, the preamplifier of the present embodiment may employ an AD620AR amplifier.
The biological characteristic signal is amplified by about 10 times through the preamplifier, and the signal amplified by the preamplifier is output to the next stage from the 6 pins.
In order to suppress the common mode noise to the maximum, the present embodiment further provides a feedback loop between the preamplifier and the sensor. As shown in fig. 7, U2 is an amplifier chip of the feedback circuit. The common mode signal is amplified and then input to the 2-pin amplifier. V3 is common mode interference, and has the following relationship:
in equation (4), Rin is the internal resistance of the amplifier. From the formula (4), it can be known that the common mode signal can be ensured to be increased by setting a proper resistance value3While feeding back V3fV is increased correspondingly3But opposite in polarity, effectively rejecting common mode noise. Preferably, the formula is tested, wherein R6 ═ R7 ═ 390K, and R5 ═ 10K.
Fig. 8 is a schematic diagram of a post-circuit. In fig. 8, pins 7 and 4 are connected to positive and negative power supply ± VCC, respectively, VCC in the circuit is a 9V battery, and pins 7 and 4 are connected to a 0.1 μ F ceramic chip capacitor, respectively, for filtering high frequency components. The signal is input from the inverting input terminal of the operational amplifier, the non-inverting input terminal is connected with the compensating resistor through R11, R11 ensures the symmetry of the input stage differential amplifying circuit of the integrated operational amplifier, and the value of the compensating resistor is the equivalent resistor of the inverting input terminal when the input terminal is grounded, namely the parallel connection of the branch resistors, so that R11 is R9// R10. Assuming that the input voltage is Ui and the output voltage is Uo, since the net input voltage and the net input current are both 0, the gain of the circuit is:
because the equivalent resistance is equal to the equivalent resistance seen between the input and the virtual ground, the input resistance of the circuit is:
Ri＝R9(6)
that is to say, although the input resistance of an ideal operational amplifier is infinite, the input resistance of the inverse proportion operation circuit is not large because the circuit introduces voltage parallel negative feedback. From the above equation, to increase the input resistance, R9 is increased. However, when the value of the resistor in the circuit is too large, the stability of the resistor is poor and the noise is large due to the process; on the other hand, when the resistance value and the input of the integrated operational amplifier are in the same order of magnitude, the gain is greatly changed. Through experiments, the gain of the main amplifying circuit is designed to be 40, wherein R9-R11-100K Ω and R10-4M Ω. Due to the two-stage inverting amplifier, the phase of the pulse signal is finally adjusted back.
Fig. 9 is a schematic diagram of a gain circuit in the present embodiment. In fig. 9, the input voltage and the output voltage of the circuit are Ui and Uo, respectively, and the output voltage of the sliding varistor R35 is Uin. Let the current through R34 be i, the current i is calculated according to equation (7):
from the node current normal equation for R35, equation (8) results:
in equation (8), x is the resistance to the right of R35 and y is the resistance to the left.
Substituting i into equation (8) yields equation (9)
Wherein,from equation (9), equation (10) can be derived:
as can be seen from equation (10), under the condition of determined amplification factor, the potential of the output voltage can be adjusted by the variable resistor R35, when the sliding end is at the midpoint, x is y, a is 0, and the output signal has no offset; x < y, A >0, a forward direct current component is superposed on the output signal; when x > y, A <0, a negative DC component will be superimposed on the output signal. By adjusting equation (10), it is achieved that the output voltage conditions are all above voltage zero.
The signal output by equation (10) is subjected to A/D conversion by the singlechip to realize conversion from an analog signal to a digital signal.
Further, in order to calculate the acquired biometric signals more accurately, when the biometric signals acquired for the first time are successfully judged after the biometric signals are acquired for the first time, and the biometric signals of the user are acquired for a plurality of times, the processor 110 is further configured to execute the unlocking program stored in the memory 109, so as to implement the following steps:
calculating the average value of the output signals after A/D conversion, and taking the average value as a biological characteristic value;
judging whether the biological characteristic value is consistent with a preset biological characteristic value or not, and if so, generating a oscillogram of the biological characteristic value;
extracting characteristic scatter points in the oscillogram;
drawing a characteristic scatter diagram formed by a plurality of characteristic scatter points;
and judging whether the characteristic scatter diagram is consistent with a preset oscillogram, if so, successfully entering unlocking, otherwise, judging whether the times of acquiring the biological characteristic signals reach a preset time threshold value, and if so, failing to unlock.
Optionally, the processor 110 is further configured to execute an unlocking program stored in the memory 109 to implement the following steps:
extracting R wave characteristic points in the oscillogram;
and when the R wave scatter diagram accords with preset sample data, extracting T wave feature points in the oscillogram.
The mobile terminal that this embodiment provided, through the biological characteristic signal who obtains the user, and utilize the amplifier circuit of amplifier to carry out amplification treatment to biological characteristic signal, again via the gain circuit with signal conditioning for positive voltage, carry out AD signal conversion to digital signal through the singlechip again and obtain user's rhythm of the heart, under the condition of gathering the signal many times, when the rhythm of the heart accords with preset sample data rhythm of the heart, again carry out the comparison of R ripples and T ripples and sample data in proper order, when the judged result of all data all is unanimous with sample data, then the unblock is successful, thereby further refine the unlocking process, the rate of accuracy of unblock has been improved, better user experience has.
Fourth embodiment
The embodiment of the application also provides a computer readable storage medium. The computer-readable storage medium herein stores one or more programs. Among other things, computer-readable storage media may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above. When one or more programs in the computer-readable storage medium are executable by one or more processors, the unlocking method provided in embodiment 1 or embodiment 2 described above is implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method of unlocking, the method comprising the steps of:
acquiring a biological characteristic signal of a user;
calculating the acquired biological characteristic signal according to a preset formula;
judging whether the calculation result of the biological characteristic signal accords with preset sample data or not;
and if so, unlocking successfully.
2. The unlocking method according to claim 1, wherein the calculation of the acquired biometric signal according to a preset formula comprises:
amplifying the biological characteristic signal by an amplifier;
the amplified signal is regulated to be positive voltage through a gain circuit;
and carrying out A/D signal conversion on the positive electrode signal through a singlechip.
3. The unlocking method according to claim 2, wherein when the biometric signal of the user is acquired a plurality of times, the method further comprises:
calculating the average value of the output signals after A/D conversion, and taking the average value as a biological characteristic value;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data comprises the following steps:
and judging whether the biological characteristic value is consistent with a preset biological characteristic value.
4. The unlocking method according to claim 3, wherein when the biometric value coincides with a preset biometric value, the method further comprises:
generating a waveform map of the biometric values;
extracting characteristic scatter points in the oscillogram;
drawing a characteristic scatter diagram formed by a plurality of characteristic scatter points;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data includes:
and judging whether the characteristic scatter diagram is consistent with a preset oscillogram or not.
5. The unlocking method according to claim 4, wherein extracting feature scatter points in the waveform map comprises:
extracting R wave characteristic points in the oscillogram;
and when the R wave scatter diagram accords with preset sample data, extracting T wave feature points in the oscillogram.
6. A mobile terminal, characterized in that the mobile terminal comprises a sensor, a processor, and a memory; wherein the sensor is configured to collect a biometric signal of a user, and the processor is configured to execute an unlocking program stored in the memory to perform the steps of:
acquiring a biological characteristic signal of the user acquired by the sensor;
calculating the acquired biological characteristic signal according to a preset formula;
judging whether the calculation result of the biological characteristic signal accords with preset sample data or not;
and if so, unlocking successfully.
7. The mobile terminal of claim 6, wherein the mobile terminal further comprises an amplifier, a gain circuit and a single-chip microcomputer, and the processor is further configured to execute an unlocking program stored in the memory to implement the following steps:
amplifying the biological characteristic signal by an amplifier;
the amplified signal is regulated to be positive voltage through a gain circuit;
and carrying out A/D signal conversion on the positive electrode signal through a singlechip.
8. The mobile terminal of claim 7, wherein when the biometric signal of the user is obtained a plurality of times, the processor is further configured to execute an unlocking program stored in the memory to implement the steps of:
calculating the average value of the output signals after A/D conversion, and taking the average value as a biological characteristic value;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data comprises the following steps:
and judging whether the biological characteristic value is consistent with a preset biological characteristic value.
If yes, generating a oscillogram of the biological characteristic value;
extracting characteristic scatter points in the oscillogram;
drawing a characteristic scatter diagram formed by a plurality of characteristic scatter points;
correspondingly, judging whether the calculation result of the biological characteristic signal conforms to preset sample data further comprises:
and judging whether the characteristic scatter diagram is consistent with a preset oscillogram or not.
9. The mobile terminal of claim 8, wherein the processor is further configured to execute an unlock program stored in the memory to implement the steps of:
extracting R wave characteristic points in the oscillogram;
and when the R wave scatter diagram accords with preset sample data, extracting T wave feature points in the oscillogram.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores one or more programs which are executable by one or more processors to implement the method of any one of claims 1-5.
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Application publication date: 20171229 |