CN114546115A - Attendance management method, device and medium based on electroencephalogram signals - Google Patents

Abstract

The application discloses an attendance management method, device, terminal and medium based on electroencephalogram signals. The method comprises the following steps: determining a target brain electrical stimulation mode selected by a wearing user of the brain-computer interface equipment based on a plurality of preset brain electrical stimulation modes; acquiring an electroencephalogram signal which is generated by a user in a target electroencephalogram stimulation mode and comprises a user key; carrying out identity authentication on the wearing user according to the electroencephalogram signal; and carrying out attendance management on the wearing user according to the identity verification result and a preset attendance card punching mode. This application obtains the mode including the EEG of user's password through amazing the user, has played the effect of only sign user with the EEG, has realized carrying out user authentication with the brain wave as the characteristic, replaces the purpose of authentication modes such as traditional fingerprint, iris, has promoted user authentication's precision, solves the blank problem of EEG in the attendance management field among the prior art, has expanded EEG's application.

Description

EEG-based attendance management method, device and medium

technical field

The present application relates to the technical field of brain science, and in particular, the present application relates to a method, device and medium for attendance management based on EEG signals.

Background technique

Brain Computer Interface (BCI) is a device that creates a direct connection between the human or animal brain and an external device, and realizes the exchange of information between the brain and the device. At present, brain research mainly uses brain-computer interface equipment to collect EEG signals, and then analyze and study the EEG signals. The current EEG research is mainly in the field of sleep analysis, and has no application in the field of attendance clocking. Therefore, there is an urgent need to provide a solution for using EEG signals to realize attendance management.

SUMMARY OF THE INVENTION

The present application provides an EEG-based attendance management method, device, electronic device, and computer-readable storage medium, which can solve at least one of the above problems. The technical solution is as follows:

In a first aspect, an EEG-based attendance management method is provided, the method comprising:

Based on the preset multiple brain electrical stimulation modes, determine the target brain electrical stimulation mode selected by the wearing user of the brain-computer interface device;

Obtain the EEG signals including the user's secret key generated by the wearing user in the target EEG stimulation mode;

Authenticate the wearing user according to the EEG signal;

Perform attendance management on wearing users based on the identity verification results and the scheduled attendance punch-in mode, so as to complete the attendance management on wearing users.

Further, before the step of acquiring the EEG signal including the user's secret key generated by the wearing user under the target EEG stimulation mode, the method further includes:

Determine the wearing status of the brain-computer interface device;

The steps of acquiring the EEG signal including the user's secret key generated by the wearing user under the target EEG stimulation mode include:

If the wearing state of the brain-computer interface device is wearing, obtain the EEG signal including the user's secret key generated by the wearing user in the target EEG stimulation mode.

Further, the step of acquiring the EEG signal including the user's secret key generated by the wearing user under the target EEG stimulation mode includes:

If the wearing state is off, a wearing prompt instruction is generated and sent to the brain-computer interface device, so that the brain-computer interface device performs voice processing on the wearing prompt instruction.

Further, the step of determining the wearing state of the brain-computer interface device includes:

If the uploaded data from the brain-computer interface device is acquired, and the uploaded data includes the EEG signal or the uploaded data includes the EEG signal and the heart rate and blood oxygen data, it is determined that the wearing state of the brain-computer interface device is wearing.

Further, the step of authenticating the wearing user according to the EEG signal includes:

Matching the EEG signals in the pre-stored EEG signal data, the EEG signal database includes several users, and the EEG signals for identifying the identities corresponding to the several users respectively;

If the matching is successful, it is determined that the wearing user has passed the authentication.

Further, according to the verification result and the predetermined attendance punch-in mode, the steps of performing attendance management on the wearing user include:

If the verification result is identity verification, an attendance punch-in instruction will be generated;

The attendance punch-in instruction is processed according to the predetermined attendance punch-in mode.

Further, if the verification result is that the identity verification is passed, before the step of generating the attendance punch-in instruction, the method further includes:

Determine the geographic location of the wearing user;

If the verification result is through identity verification, the steps of generating an attendance punch-in instruction include:

If the geographic location is located in the predetermined attendance area, and the verification result is that the identity verification is passed, an attendance punch-in instruction will be generated.

In a second aspect, an EEG-based attendance management device is provided, the device comprising:

The stimulation mode determination module is used for determining the target brain electrical stimulation mode selected by the wearer of the brain-computer interface device based on the preset multiple brain electrical stimulation modes;

The EEG signal acquisition module is used to obtain the EEG signal including the user's secret key generated by the wearing user in the target EEG stimulation mode;

The user authentication module is used to authenticate the wearing user according to the EEG signal;

The EEG attendance management module is used to manage the attendance of the wearing users according to the identity verification results and the scheduled attendance punch-in mode, so as to complete the attendance management of the wearing users.

Further, before acquiring the EEG signal including the user's secret key generated by the wearing user under the target EEG stimulation mode, the EEG signal acquisition module further includes:

The wearing state determination sub-module is used to determine the wearing state of the brain-computer interface device;

The EEG signal acquisition module includes:

The first processing submodule is configured to acquire the EEG signal including the user's secret key generated by the wearing user in the target EEG stimulation mode if the wearing state of the brain-computer interface device is wearing.

Further, the EEG signal acquisition module also includes:

The second processing submodule is configured to generate a wearing prompt instruction and send it to the brain-computer interface device if the wearing state is off, so that the brain-computer interface device can perform voice processing on the wearing prompt instruction.

Further, the wearing state determination sub-module includes:

The signal identification unit is configured to determine that the wearing state of the brain-computer interface device is wearing if the uploaded data from the brain-computer interface device is acquired, and the uploaded data includes the EEG signal or the uploaded data includes the EEG signal and the heart rate and blood oxygen data.

Further, the user authentication module includes:

an EEG signal matching sub-module, used to match the EEG signals in the pre-stored EEG signal data, the EEG signal database includes several users, and the EEG signals corresponding to the several users for identifying identities;

The verification result determination sub-module is used to determine that the wearing user has passed the identity verification if the matching is successful.

Further, the EEG attendance management module includes:

The instruction generation sub-module is used to generate attendance punch-in instruction if the authentication result is passed authentication;

The attendance processing sub-module is used to process the attendance punching instruction according to the predetermined attendance punching mode.

Furthermore, before the step of generating the attendance punch-in instruction if the identity verification result is that the identity verification is passed, the instruction generation sub-module further includes:

a geographic location determination unit, used to determine the geographic location of the wearing user;

The instruction generation submodule includes:

The attendance instruction generating unit is used for generating an attendance punching instruction if the geographic location is located in a predetermined attendance area and the result of the identity verification is that the identity verification is passed.

In a third aspect, an electronic device is provided, the electronic device comprising:

one or more processors;

memory;

One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to: perform the above-mentioned EEG signal-based attendance management method.

In a fourth aspect, a computer-readable storage medium is provided on which a computer program is stored, and when the program is executed by a processor, the above-mentioned method for attendance management based on an EEG signal is implemented.

The beneficial effects brought by the technical solutions provided in the embodiments of the present application are: by determining the selected target brain electrical stimulation mode among the pre-configured multiple brain electrical stimulation modes, the user wearing the EEG cap is stimulated, thereby Obtain the EEG signal including the user's secret key, so as to authenticate the wearing user according to the EEG signal, and then complete the attendance management of the wearing user according to the authentication result combined with the predetermined attendance punch-in mode. The EEG signal method of the user password has the effect of uniquely identifying the user with the EEG signal, realizing the purpose of using the brain wave as a feature for user authentication, replacing the traditional authentication methods such as fingerprints and iris, and improving the The accuracy of user identity verification solves the blank problem of EEG signals in the field of attendance management in the prior art, and expands the application field of EEG signals.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments of the present application.

1 is a schematic flowchart of an EEG-based attendance management method provided by an embodiment of the present application;

2 is a schematic structural diagram of an application system of an embodiment of an EEG-based attendance management method provided by an embodiment of the present application;

3 is a schematic diagram of the electrode distribution structure of an embodiment of a brain-computer interface device in an application system of an embodiment of an EEG signal-based attendance management method provided by an embodiment of the present application;

4 is a schematic diagram of a visual stimulation image provided by a brain electrical stimulation mode in an application system of an embodiment of an EEG signal-based attendance management method provided by an embodiment of the present application; and

FIG. 5 is a schematic structural diagram of an EEG-based attendance management apparatus provided by an embodiment of the present application.

Detailed ways

The following describes in detail the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, but not to be construed as a limitation on the present application.

It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It should be further understood that the word "comprising" used in the specification of this application refers to the presence of stated features, integers, steps, operations, elements and/or components, but does not preclude the presence or addition of one or more other features, Integers, steps, operations, elements, components and/or groups thereof. It will be understood that when we refer to an element as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Furthermore, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combination of one or more of the associated listed items.

The technical solutions of the present application and how the technical solutions of the present application solve the above-mentioned technical problems will be described in detail below with specific examples. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

An embodiment of the present application provides a method for attendance management based on an EEG signal. As shown in FIG. 1 , the method includes steps S101 to S104 .

Step S101 , determining a target brain electrical stimulation mode selected by a user wearing the brain-computer interface device based on multiple preset brain electrical stimulation modes.

Specifically, the electronic device determines a target brain electrical stimulation mode selected by a user wearing the brain-computer interface device based on multiple preset brain electrical stimulation modes. The electronic device may be a mobile phone, tablet, PC, VR device, etc. connected to the brain-computer interface device. In application, the electronic device can be connected to the brain-computer interface device through a wireless communication protocol, or can be connected through a data transmission line.

In the embodiments of the present application, the electrical brain stimulation mode is used to characterize the manner for stimulating the user to generate brain evoked potentials that meet predetermined requirements. Specifically, the brain electrical stimulation mode includes auditory stimulation, visual stimulation, and the like.

In the embodiments of the present application, the brain-computer interface device is used to characterize a head-mounted device with an EEG signal acquisition function. In application, the brain-computer interface device can be set as an EEG cap, an EEG ring, etc. Specifically, a brain-connected interface device generally includes electrodes, a front-end circuit, and a digital circuit that are connected in sequence, wherein the electrodes can be installed on the forehead position of an EEG cap (that is, a head-mounted device with an EEG signal acquisition function), so as to pass the forehead position The electrodes detect the user's EEG signals.

Specifically, step S101 may be executed when it is detected that the attendance management application is activated. For example, if the electronic device scans the QR code on the brain-computer interface device and jumps to the attendance management application, it is determined that the attendance management application is activated. At this time, an interactive interface for various brain electrical stimulation modes can be provided for the wearing user. Selection is made through the interactive interface.

Step S102, acquiring the EEG signal including the user's secret key generated by the wearing user in the target EEG stimulation mode.

In the embodiment of the present application, the EEG signal including the user's secret key is used to represent the electric wave changes of the wearing user's brain when the password input activity is performed in different EEG stimulation modes. For example, if the target brain electrical stimulation mode is visual stimulation, the electronic device can provide a stimulation interactive interface for password input, so that the user can obtain the brain fluctuations when his brain thinks about the password by observing the stimulation interactive interface, so as to obtain information including the user secret code. key's EEG signals.

Step S103 , performing identity verification on the wearing user according to the EEG signal.

Specifically, the EEG signal can be directly compared with the pre-stored EEG signal, and the encrypted value of the EEG signal can also be calculated, so as to complete the authentication according to the encrypted value.

Step S104 , performing attendance management on the wearing user according to the identity verification result and the predetermined attendance punching mode, so as to complete the attendance management on the wearing user.

In this embodiment of the present application, attendance management is used to represent a system for managing user attendance.

Specifically, attendance management can include automatic management and manual management modes. Among them, the automatic management mode refers to a mode in which the check-in can be completed without additional operations performed by the managed user; the manual management mode refers to a mode in which additional control operations are required to be performed by the managed user to complete the check-in. For example, if the attendance management is in the manual management mode, the "Punch" control can be generated, and the punch in is completed when the user's click on the "Punch" control is detected.

In the embodiment of the present application, the selected target brain electrical stimulation mode is determined from the pre-configured multiple brain electrical stimulation modes to stimulate the user wearing the EEG cap, so as to obtain the EEG signal including the user's secret key, thereby The wearing user is authenticated according to the EEG signal, and then the attendance management of the wearing user is completed according to the authentication result combined with the predetermined attendance punch-in mode. This method of stimulating the user to obtain the EEG signal including the user password plays a role in The effect of uniquely identifying the user with the EEG signal realizes the purpose of using the brain wave as a feature for user authentication, replacing the traditional authentication methods such as fingerprints and iris, improving the accuracy of user authentication, and solving the problems in the prior art. The blank problem of EEG signals in the field of attendance management has expanded the application field of EEG signals.

In some implementations, before step S102 acquires the EEG signal including the user key generated by the wearing user in the target EEG stimulation mode, the method further includes: step S1021 (not shown in the figure), determining the brain connection The wearing state of the interface device; Step S102 further includes: Step S1022 (not shown in the figure), if the wearing state of the brain-computer interface device is wearing, then determine the selected brain-computer interface device based on the pre-configured multiple stimulation modes The brain electrical stimulation mode of the wearing user of the interface device.

Specifically, the wearing state of the brain-computer interface device can be determined by judging whether the electronic device receives the bioelectric data sent by the brain-computer interface device.

In some implementations, before step S102 acquires the EEG signal including the user key generated by the wearing user in the target EEG stimulation mode, the method further includes: step S1021 , determining the wearing state of the brain-connected interface device; step S102 further includes: step S1023 (not shown in the figure), if the wearing state is off, generating a wearing prompt instruction and sending it to the brain-computer interface device, so that the brain-computer interface device performs voice processing on the wearing prompt instruction.

Specifically, the wearing prompt instruction may include specific voice broadcast information, such as "please wear the brain-computer interface, otherwise the check-in cannot be completed" and other prompt contents; or the wearing prompt instruction may include a label for the body voice broadcast information, such as the wearing instruction instruction is a label T1, then the electronic device sends the tag T1 to the brain-computer interface device, so that the brain-computer interface device queries the locally stored voice broadcast information pointed to by T1 and plays it.

In some implementations, the step S1021 determining the wearing state of the brain-connected interface device further includes:

If the uploaded data from the brain-computer interface device is acquired, and the uploaded data includes the EEG signal, or the uploaded data includes the EEG signal and the heart rate and blood oxygen data, it is determined that the wearing state of the brain-computer interface device is wearing.

The brain-computer interface device used in the embodiments of the present application may have the function of collecting blood oxygen data, and may also have the functions of collecting blood oxygen data and electroencephalogram signal at the same time. During application, if the user wears the brain-computer interface device correctly, the electronic device can obtain the EEG signals of the wearing user collected by the brain-computer interface device; if the user does not wear the brain-computer interface device correctly or does not wear the brain-computer interface device, then The brain-computer interface device cannot collect the user's EEG signal, and the electronic device cannot obtain the user's EEG signal uploaded by the brain-computer interface device.

In some implementations, as shown in FIG. 1 , step S103 further includes:

In step S1031 (not shown in the figure), the EEG signals are matched in a pre-stored EEG signal database, the EEG signal database includes several user identifiers, and the EEG signals corresponding to the several user identifiers include the user secret key respectively. Signal;

Step S1032 (not shown in the figure), if the matching is successful, it is determined that the wearing user has passed the identity verification.

Specifically, the EEG signal database can be stored locally on the electronic device, or can be stored in the cloud. For example, if the EEG signal database is stored in the cloud, the electronic device sends the EEG signal to the cloud server, so that the cloud server matches the EEG signal database according to the EEG signal, and obtains the matching result from the cloud server, Whether the matching is successful is determined according to the matching result.

In the embodiment of the present application, the EEG signal database is stored locally in the electronic device, and the electronic device locally matches the EEG signal including the user's secret key obtained in step S102.

In some implementations, as shown in FIG. 1 , step S104 further includes:

Step S1041 (not shown in the figure), if the result of the identity verification is to pass the identity verification, then generate an attendance check-in instruction;

In step S1042 (not shown in the figure), the attendance clock-in instruction is processed according to the predetermined attendance clock-in mode, so as to complete the attendance management of the wearing user.

Specifically, the preset attendance punch-in mode may be a manual punch-in mode or an automatic punch-in mode. More specifically, a user configuration interface for the attendance punch-in mode may be provided, so that the user can select a manual punch-in mode and an automatic punch-in mode according to the user configuration interface to determine a preset attendance punch-in mode.

Specifically, the preset attendance punch-in mode may include two punch-in types, such as start punch-in and end punch-in. During application, different configuration controls can be set for these two punching types, so as to achieve the purpose of setting attendance punching modes for these two punching types respectively. For example, start punching can be set to manual punching mode, end punching can be set to automatic punching mode; or start punching can be set to automatic punching mode, end punching can be set to manual punching mode.

In some implementations, if the result of the identity verification in step S1041 is that the identity verification is passed, before generating the attendance punch-in instruction, the method further includes: step S1043 (not shown in the figure), determining the geographic location of the wearing user; step S1041 if the identity If the verification result is to pass the identity verification, the step of generating an attendance punch-in instruction includes: step S1044 (not shown in the figure), if the geographic location is located in the predetermined attendance area, and the verification result is that the identity verification is passed, then the attendance punch-in instruction is generated.

Specifically, the GPS positioning function of the electronic device can be used to determine the geographic location of the wearing user.

Specifically, the predetermined attendance area may be fixed, or may be adjusted at any time according to the area where the task application scenario is located. For example, if the task application scenario is to send the wearing user Zhang San to the A cell to perform a maintenance task, then the electronic device detects that the wearing user's current geographical location is the A cell and the user's identity verification passes, and executes step S1041, that is, generates an attendance check. Card instruction.

The EEG signal-based attendance management method provided by the embodiment of the present application will be described in detail below with reference to the application system shown in FIG. 2 . The application system shown in FIG. 2 includes a brain-computer interface device and an electronic device. The brain-computer interface device includes a head-mounted device 101 with an EEG acquisition function, a safety helmet 102 and an electrode cap 103 with an EEG acquisition function, and the electronic device includes a mobile phone. 201 and PC 202. The electrode cap 103 is a head-wearing cap provided with electrodes according to the international standard 10-20 system. The electrodes on the head-wearing cap are distributed as shown in FIG. 3 . Electrical signal; in this embodiment of the present application, both the head-mounted device 101 and the safety helmet 102 include electrodes, a front-end circuit and a digital circuit in sequence, and the digital circuit includes a communication module. In the embodiment of the present application, the communication module is set as a Bluetooth module. In application, the head-mounted device 101 and the safety helmet 102 are firstly connected to the mobile phone 201 (the mobile phone is used as an example for detailed description below) or the PC 202 via Bluetooth. 103 can be connected to the mobile phone 201 through data by connecting a data cable. After the connection is established, the mobile phone 201 provides an alternative brain electrical stimulation mode. When the mobile phone 201 detects the user's selection operation, the brain electrical stimulation mode pointed by the selection operation is taken as the target brain electrical stimulation mode. Assuming that the target brain electrical stimulation mode here is a visual stimulation mode, the mobile phone 201 can output FIG. 4 to visually stimulate the user, and the mobile phone 201 controls the flickering of the symbols in FIG. 4 to achieve the purpose of stimulating the user. Before performing visual stimulation to the user, the mobile phone 201 determines the wearing state of the electrode cap 103 by judging whether the EEG signal sent by the electrode cap (the electrode cap 103 is used as an example for description below) can be received. If the wearing state of the electrode cap 103 is wearing, it is determined that the EEG signal is matched with each EEG signal included in the pre-stored EEG signal database, and in the case of successful matching, the mobile phone 201 controls each symbol in FIG. 4 . Blinking to stimulate the user, so that the user can view the symbols in Fig. 4 according to the preset user key, so that the brain-computer interface device detects the EEG signal including the user key (that is, according to the preset user key to watch the image). 4 to obtain the EEG signal including the user's secret key), and send it to the mobile phone 201. The mobile phone 201 performs identity verification after acquiring the EEG signal. If the verification result is that the verification is passed, a punch-in instruction is generated, and the punch-in instruction and the predetermined attendance punch-in mode are processed to complete the user's attendance management.

Another embodiment of the present application provides an EEG signal-based attendance management device. As shown in FIG. 5 , the device 50 includes: a stimulation mode determination module 501 , an EEG signal acquisition module 502 , a user identity verification module 503 , and EEG attendance management module 504 .

A stimulation mode determination module 501, configured to determine a target brain electrical stimulation mode selected by a user wearing the brain-computer interface device based on multiple preset brain electrical stimulation modes;

An EEG signal acquisition module 502, configured to acquire the EEG signal including the user's secret key generated by the wearing user under the target EEG stimulation mode;

The user identity verification module 503 is used for performing identity verification on the wearing user according to the EEG signal;

The EEG attendance management module 504 is configured to perform attendance management on the wearing user according to the identity verification result and the predetermined attendance punching mode, so as to complete the attendance management on the wearing user.

In the embodiment of the present application, the selected target brain electrical stimulation mode is determined from the pre-configured multiple brain electrical stimulation modes to stimulate the user wearing the EEG cap, so as to obtain the EEG signal including the user's secret key, thereby The wearing user is authenticated according to the EEG signal, and then the attendance management of the wearing user is completed according to the authentication result combined with the predetermined attendance punch-in mode. This method of stimulating the user to obtain the EEG signal including the user password plays a role in The effect of uniquely identifying the user with the EEG signal realizes the purpose of using the brain wave as a feature for user authentication, replacing the traditional authentication methods such as fingerprints and iris, improving the accuracy of user authentication, and solving the problems in the prior art. The blank problem of EEG signals in the field of attendance management has expanded the application field of EEG signals.

Further, before acquiring the EEG signal including the user's secret key generated by the wearing user under the target EEG stimulation mode, the EEG signal acquisition module further includes:

The wearing state determination sub-module is used to determine the wearing state of the brain-computer interface device;

The EEG signal acquisition module includes:

The first processing submodule is configured to acquire the EEG signal including the user's secret key generated by the wearing user in the target EEG stimulation mode if the wearing state of the brain-computer interface device is wearing.

Further, the EEG signal acquisition module also includes:

The second processing submodule is configured to generate a wearing prompt instruction and send it to the brain-computer interface device if the wearing state is off, so that the brain-computer interface device can perform voice processing on the wearing prompt instruction.

Further, the wearing state determination sub-module includes:

The signal identification unit is configured to determine that the wearing state of the brain-computer interface device is wearing if the uploaded data from the brain-computer interface device is acquired, and the uploaded data includes the EEG signal or the uploaded data includes the EEG signal and the heart rate and blood oxygen data.

Further, the user authentication module includes:

The EEG signal matching sub-module is used to match the EEG signals in the pre-stored EEG signal database, the EEG signal database includes several user IDs, and the EEG signals corresponding to the several user IDs including the user secret key respectively ;

The verification result determination sub-module is used to determine that the wearing user has passed the identity verification if the matching is successful.

Further, the EEG attendance management module includes:

The instruction generation sub-module is used to generate an attendance punch-in instruction if the verification result is identity verification;

The attendance processing sub-module is used to process the attendance punching instruction according to the predetermined attendance punching mode.

Further, if the verification result is that the identity verification is passed, the instruction generation sub-module further includes:

a geographic location determination unit, used to determine the geographic location of the wearing user;

The instruction generation submodule includes:

The attendance instruction generating unit is used to generate an attendance punch-in instruction if the geographic location is located in the predetermined attendance area and the verification result is that the identity verification is passed.

The EEG signal-based attendance management apparatus of this embodiment can execute the EEG signal-based attendance management method shown in Embodiment 1 of the present application, and the implementation principles thereof are similar, which will not be repeated here.

Another embodiment of the present application provides a terminal, including: a memory, a processor, and a computer program stored in the memory and running on the processor, when the processor executes the computer program, the above-mentioned EEG-based attendance check is implemented management method.

Specifically, the processor may be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logical blocks, modules and circuits described in connection with this disclosure. A processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

Specifically, the processor is connected to the memory through a bus, and the bus may include a path for transferring information. The bus can be a PCI bus or an EISA bus or the like. The bus can be divided into address bus, data bus, control bus and so on.

The memory can be ROM or other types of static storage devices that can store static information and instructions, RAM or other types of dynamic storage devices that can store information and instructions, or EEPROM, CD-ROM or other optical disk storage, optical disk storage ( including compact discs, laser discs, compact discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or capable of carrying or storing desired program code in the form of instructions or data structures and capable of being stored by a computer any other medium taken, but not limited to this.

Optionally, the memory is used to store the code of the computer program for executing the solution of the present application, and the execution is controlled by the processor. The processor is configured to execute the application program code stored in the memory, so as to realize the action of the EEG signal-based attendance management device provided by the above embodiments.

Yet another embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the above-mentioned EEG signal-based attendance management method.

The apparatus embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

Those of ordinary skill in the art can understand that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules or other data flexible, removable and non-removable media. Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or may Any other medium used to store desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and can include any information delivery media, as is well known to those of ordinary skill in the art .

The above is a specific description of the preferred implementation of the application, but the application is not limited to the above-mentioned embodiments, and those skilled in the art can also make various equivalent deformations or replacements under the premise of not violating the spirit of the application, These equivalent modifications or substitutions are all included within the scope defined by the claims of the present application.

Claims (10)

1. An attendance management method based on electroencephalogram signals is characterized by comprising the following steps:

determining a target brain electrical stimulation mode selected by a wearing user of the brain-computer interface equipment based on a plurality of preset brain electrical stimulation modes;

acquiring an electroencephalogram signal which is generated by the wearing user in the target electroencephalogram stimulation mode and comprises a user key;

carrying out identity verification on the wearing user according to the electroencephalogram signal;

and carrying out attendance management on the wearing user according to the identity verification result and a preset attendance card punching mode so as to complete the attendance management on the wearing user.

2. The method of claim 1,

before the step of acquiring the electroencephalogram signal which is generated by the wearing user in the target electroencephalogram stimulation mode and comprises the user key, the method further comprises the following steps:

determining a wearing state of the brain-computer interface device;

the step of obtaining the electroencephalogram signal which is generated by the wearing user in the target electroencephalogram stimulation mode and comprises a user key comprises the following steps:

and if the wearing state of the brain-computer interface equipment is wearing, acquiring the electroencephalogram signal which is generated by the wearing user in the target electroencephalogram stimulation mode and comprises the user key.

3. The method according to claim 2, wherein the step of obtaining the electroencephalogram signal including the user key generated by the wearing user in the target electroencephalogram stimulation mode comprises:

and if the wearing state is falling off, generating a wearing prompt instruction and sending the wearing prompt instruction to the brain-computer interface equipment so that the brain-computer interface equipment carries out voice processing on the wearing prompt instruction.

4. The method of claim 2, wherein the step of determining the wearing status of the brain-computer interface device comprises:

if the uploaded data from the brain-computer interface equipment are acquired and comprise the electroencephalogram signals or the uploaded data comprise the electroencephalogram signals and the heart rate blood oxygen data, the wearing state of the brain-computer interface equipment is determined to be wearing.

5. The method of claim 1, wherein said step of authenticating said wearing user based on said brain electrical signal comprises:

matching the electroencephalogram signals in a pre-stored electroencephalogram signal database, wherein the electroencephalogram signal database comprises a plurality of user identifications, and the electroencephalogram signals which respectively correspond to the user identifications and comprise user keys;

and if the matching is successful, determining that the wearing user passes the identity authentication.

6. The method of claim 1, wherein the step of performing attendance management on the wearing user according to the authentication result and a predetermined attendance card punching mode comprises:

if the identity authentication result is that the identity authentication is passed, generating an attendance card punching instruction;

and processing the attendance card punching instruction according to a preset attendance card punching mode so as to complete attendance management of the wearing user.

7. The method of claim 6,

before the step of generating an attendance card punching instruction if the identity verification result is that the identity verification is passed, the method further comprises:

determining a geographic location of the wearing user;

if the identity verification result is that the identity verification is passed, generating an attendance card punching instruction, wherein the method comprises the following steps:

and if the geographic position is located in a preset attendance checking area and the verification result is that the identity verification is passed, generating an attendance checking and card punching instruction.

8. The utility model provides an attendance management device based on brain electrical signal which characterized in that includes:

the stimulation mode determination module is used for determining a target brain electrical stimulation mode selected by a user wearing the brain-computer interface equipment based on a plurality of preset brain electrical stimulation modes;

the electroencephalogram signal acquisition module is used for acquiring an electroencephalogram signal which is generated by the wearing user in the target electroencephalogram stimulation mode and comprises a user key;

the user identity authentication module is used for authenticating the identity of the wearing user according to the electroencephalogram signal;

and the electroencephalogram attendance management module is used for carrying out attendance management on the wearing user according to an identity verification result and a preset attendance card punching mode so as to complete the attendance management on the wearing user.

9. An electronic device, comprising:

one or more processors;

a memory;

one or more applications, wherein the one or more applications are stored in the memory and configured for execution by the one or more processors, the one or more programs configured to: performing the method according to any one of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 7.

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