CONSCIOUSNESS DETECTOR SYSTEM

Abstract

The invention relates to a consciousness detection system used in the field of biometric authentication and access control systems. The system consists of a thin-film transparent polyvinylidene fluoride (PVDF) piezoelectric sensor layer integrated onto the surface of the optical fingerprint sensor that the user's finger makes contact with, an active band-pass filter and operational amplifier circuit, a central processing unit, and an access control actuator. Physiological tremor signals in the 8-12 Hz frequency range originating from the user's finger are detected via the transparent PVDF piezoelectric sensor layer, and the signals are filtered and amplified by suppressing environmental noise via the active band-pass filter and operational amplifier circuit.Physiological tremor data is evaluated using fast Fourier transform (FFT) based spectral analysis performed within the central processing unit and processed together with biometric authentication data obtained from the optical fingerprint sensor. If the physiological tremor data falls within predetermined frequency and amplitude threshold values, the system triggers the access control actuator and performs access authentication. This prevents unauthorized access attempts, artificial fingerprint copies, and scenarios involving unsuspecting users.

Description

1 TARIFF CONSCIOUSNESS DETECTOR SYSTEM TECHNICAL FIELD The invention relates to the technical field of biometric authentication and access control systems. and more specifically, the user's fingerprint data combined with involuntary physiological micro- By evaluating the vibration data together, we can determine whether the user is conscious and alert. The invention relates to a biometric authentication system that detects the absence of a valid system. Specifically, the invention... physiological tremor signals in the 8-12 Hz band resulting from finger contact Detection, filtering, and biometric authentication via piezoelectric sensors. in the field of hybrid security systems based on the principle of integration into the process It is used. KNOWN TECHNIQUE Biometric authentication systems used today mainly rely on fingerprints. based on fingerprint, facial recognition, iris recognition or behavioral biometric data It is working, especially with mobile devices, access control systems, and high-security applications. Fingerprint-based authentication methods are widely used on electronic platforms. It is used. However, most existing systems only provide the user with static information. This verifies the biometric geometric structure and confirms that the access request was indeed conscious. It cannot determine whether this was done by the user or not. This This is especially important in access scenarios where access is granted without the user's consent. This creates security vulnerabilities. In the known state of the art, involuntary physiological micro-movements of the user There are various solutions that are used for biometric authentication purposes. Known ones include... The technical data identified is the “LOCAL USER” publication number WO2016127005A2. AUTHENTICATION WITH NEURO AND NEURO-MECHANICAL FINGERPRINTS” In the document titled; micro- Creating a "neuromechanical fingerprint" using motion signals. This is explained in the document, which describes multidimensional motion signals. User authentication is performed by extracting characteristic features. However, In the solution in question, signals are primarily obtained through motion sensor structures. It is being developed; transparent panels that can be integrated onto existing fingerprint sensors. The structure of the piezoelectric sensor layer is not described. Furthermore, the document states that... 2 a specific method for determining whether the user is conscious or not Developed to protect against unintentional usage scenarios during evaluation or access. There is no technical solution. Another document identified using known techniques is publication US2017083693A1. numbered “ELECTRONIC DEVICE AND METHOD FOR VALIDATION OF A TRUSTED In the document titled "USER," it is stated that a tremor sensor is used in conjunction with a fingerprint sensor. A user authentication system is described. In this solution, the user's fingerprint... The aim is to perform user authentication using the obtained tremor data. However, The system used for tremor detection is based on the existing optical fingerprint scanner. transparent PVDF piezoelectric integrated directly into its readers in the form of a thin film. It is not in layered form. Furthermore, the primary purpose of the system is user authentication, a specific way to determine whether the user is conscious or not The "consciousness analysis" approach is not explained. Furthermore, environmental mechanics is not discussed. Security measures such as noise filtering, unsolicited sleep access, or dummy attacks. Tolerance algorithms and multi-layered verification approach for scenarios It is not explained at a sufficient level. As stated in the invention disclosure form, the most important technical aspect in existing systems One of the problems is that physiological tremor signals in the 8-12 Hz band are low amplitude and Its structure is easily affected by environmental influences, especially environmental mechanics. vibrations, involuntary muscle movements, movements that occur during REM sleep, and artificial Situations like vibration generation increase false acceptance rates in existing systems. It can increase [the impact]. Furthermore, current solutions are generally single-parameter biometric. Because it focuses on verification, it avoids forged fingerprints or actions taken against the user's will. It fails to provide adequate security against attempted access attempts. In addition, a significant portion of existing systems require additional hardware. it creates, increases costs and integration into everyday use devices This makes things more difficult, especially with mobile devices and compact access control systems. low cost, slim design and compatible with existing sensor architectures Solutions are needed. 3 THE TECHNICAL PROBLEM TO BE SOLVED The fundamental technical problem that the invention aims to solve is the existing biometric authentication. the security approach based solely on static biometric data found in their systems The goal is to overcome the deficiency. Specifically described in documents WO2016127005A2 and US2017083693A1 When the solutions were examined, the user's micro-movement or tremor data Although it appears to be used for verification purposes, the current systems allow the user to... cannot reliably assess whether or not someone is conscious It is understood that current solutions focus more on user authentication. It focuses on "access requests being made by the informed user". It does not technically solve the problem. In this context, the technical problem that the invention aims to solve is: - Blocking access attempts made without the user's consent, - performed via a user who is asleep or unconscious. Reducing the risks of biometric authentication, - Detection of artificial fingerprints and dummy attacks, - low-amplitude physiological tremor signals from environmental noise separation, - integrates with existing fingerprint reader systems without adding bulk. providing a usable sensor structure, - Combining biometric verification with physiological vitality and consciousness analysis. to be carried out, - as part of creating a multi-parameter hybrid security validation system. It is defined. This invention, developed to solve these technical problems, features optical fingerprinting. via a transparent PVDF piezoelectric sensor layer integrated onto the sensor physiological tremor in the 8-12 Hz band originating from the user's fingertip signals are detected by the active band-pass filter and operational amplifier circuit. With its help, environmental noises are suppressed and the resulting signals are processed centrally. It is evaluated within the unit using FFT-based analysis algorithms. Thus Not only biometric authentication, but also conscious access request. It has also been technically confirmed that this was done by the user. 4 A BRIEF DESCRIPTION OF THE INVENTION The invention addresses the issues encountered in existing biometric authentication systems; the user's security that arises solely from the verification of static biometric data It relates to a consciousness detection system developed to address its vulnerabilities. In the system developed as part of the invention, the optical sensor that the user's finger makes contact with... transparent piezoelectric sensor layer integrated onto the fingerprint sensor surface via low-amplitude physiological micro-vibrations originating from the fingertip is perceived. The resulting analog signals are physiological within a specific frequency range. an active band-pass filter configured to separate the tremor components and It is processed through the amplifier circuit, then in the central processing unit. This is evaluated through frequency analysis. The invention combines biometric authentication with physiological tremor analysis. This allows access to not only the user ID but also the data. It must also be verified that the request was made by a conscious user. This ensures that access attempts made against the user's will are prevented. Forgery attempts using artificial fingerprints, sleep or loss of consciousness In this case, the likelihood of unauthorized access scenarios is significantly reduced. Another advantage of the invention is that the tremor detection structure uses an existing optical fingerprint. The advantage is that the system can be integrated into readers in thin film form. This allows the system to... It can be implemented in existing device architectures without requiring significant structural changes; mobile devices, electronic lock systems, access control terminals and portable It offers a cost-effective and compact solution for security platforms. In addition, thanks to its active filtering structure, it filters environmental mechanical vibrations and By suppressing electrical noise, low-amplitude physiological signals are more stable. This ensures that the signal analysis is processed in this way. Signal analysis is used in the central processing unit. Thanks to its algorithms, it detects involuntary muscle movements, movements caused by REM sleep, or reducing erroneous assessments that may arise from physiological differences is the goal. In these respects, the invention is more advantageous compared to existing biometric authentication systems. providing a high level of security and capable of multi-parameter verification, A hybrid security system with high applicability and compatibility with existing access control infrastructures. It offers a solution. LIST OF FIGURES Figure 1: The consciousness detector system, which is the subject of the invention, obtains data from the user's finger. Detection and filtering of physiological tremor data via piezoelectric sensor, showing the system architecture for processing and transferring to the access control unit. It is a schematic block diagram. Figure 2: The physical consciousness detector system described in the invention on a smartphone. It is a schematic view showing an example of the implementation (how it will be applied). Figure 3: The system described in the invention is an action performed against the user's will (forced action). abnormality in the physiological tremor signal during the access attempt and access This is a representative study scenario illustrating the event of rejection. Figure 4: Hardware components, layered sensor structure, and of the system described in the invention. This is an exploded isometric view showing its integration into the electronic door lock. The reference numbers shown in the figures; 1. The Human Finger 2. Transparent PVDF Piezoelectric Sensor Layer 3. Optical Fingerprint Sensor Surface 4. Active Band-Pass Filter and Operational Amplifier Circuit 5. Central Processing Unit / Microcontroller 6. Access Control Actuator / Relay DESCRIPTION OF THE FIGURES Figure 1 shows the general operational architecture of the consciousness detector system that is the subject of this invention. It is shown that the user's human finger (1) is shown in the system, transparent PVDF piezoelectric The sensor layer (2) and the optical fingerprint sensor surface (3) are placed in contact. Involuntary physiological micro-vibrations originating from the human finger (1) and mechanical pressure effects by transparent PVDF piezoelectric sensor layer (2) It is converted into an analog electrical signal. Simultaneously, an optical fingerprint sensor is used. The user's fingerprint geometry is read via the surface (3). Low amplitude analog signals obtained from the piezoelectric sensor layer (2), The signal is transferred to the active band-pass filter and operational amplifier circuit (4). 6 The subject is physiological tremor, particularly in the 8-12 Hz frequency band, via a circuit. The components are being reinforced and environmental noises are being suppressed. Filtered signals are sent to the central processing unit / microcontroller (5) is being transferred. FFT-based frequency analysis performed in the central processing unit. Thanks to this, the user's physiological tremor characteristics are evaluated and biometric data is obtained. It is analyzed along with verification data. Access is granted if the system algorithm meets the verification criteria. A confirmation signal is sent to the control actuator / relay (6) and the access operation is being carried out. Figure 2 shows an application of the system described in the invention on portable devices. The form (physical realization) is shown. The system's intelligent component is a hardware component. In this implementation, where it is integrated into the phone body, the user's sensor on the device When it comes into contact with the area, the fingerprint data and involuntary physiological tremor data are processed through hardware. It is perceived simultaneously through layers. Figure 3 shows a situation where an attempt was made to forcibly scan the user's fingerprint against their will. An involuntary use scenario is represented. In this case, physical coercion, a drop taken from the finger depending on pressure, stress, or the user's unconscious state. Signal graph (Y-axis amplitude, X-axis time), expected 8-12 Hz natural physiological It differs spectrally from the tremor band. The system detects this signal anomaly. It detects and does not grant access permission, and unlocks as shown in the image. It rejects the transaction. Figure 4 shows the hardware layers of the system and the electronic gate, which are the subject of the invention. The lock integration is shown in detail. The most important point of contact for a human finger. The top layer contains a transparent piezoelectric sensor layer, and immediately below it... The optical fingerprint sensor surface is positioned. Analog data is received from the sensors. data is transmitted through electronic components located on a printed circuit board (PCB). The data is passed through to the processor. If the authorization is successful as a result of the process, access is granted. The door lock mechanism, which has a control actuator, is mechanically triggered. DETAILED DESCRIPTION OF THE INVENTION The system described in the invention is based on; human finger (1), transparent PVDF piezoelectric sensor layer (2), optical fingerprint sensor surface (3), active band-pass filter and operational amplifier circuit (4), central processing unit / microcontroller (5) and access It consists of a control actuator / relay (6). 7 In the system's operating principle, the user's human finger (1), optical fingerprint The sensor is brought into contact with the surface (3). Caused by a human finger (1). involuntary neuromotor physiological tremor movements, transparent PVDF piezoelectric sensor It is detected by layer (2). Thin-film transparent polyvinylidene fluoride (PVDF) piezoelectric sensor. layer (2), piezoelectric that converts mechanical vibrations into analog electrical signals It exhibits the following characteristics. The sensor layer in question (2) is the optical fingerprint sensor surface. (3) It can be positioned with a coating or lamination on it. Thus The system integrates with existing optical fingerprint readers without adding bulk. It is possible. Transparent PVDF piezoelectric sensor layer (2), from the user's finger (1) resulting low-amplitude micro-vibrations and mechanical pressure changes It converts into electrical signals. Analog signals obtained from the sensor layer (2) signals pass through the active band-pass filter and operational amplifier circuit (4) is being transferred. Active band-pass filter and operational amplifier circuit (4), especially physiological to pass signal components in the 8-12 Hz band, which is the tremor frequency range It is structured. The circuit in question (4) amplifies low amplitude sensor signals. and also environmental mechanical vibrations, electrical interference and unwanted It suppresses the frequency components. Active band-pass filter and operational amplifier circuit (4) preferably It is created in an operational amplifier-based active filter architecture. The circuit Its structure includes a high-pass filter, a low-pass filter, and signal gain stages. It is available for use. The filtered and amplified analog signal is sent to the central processing unit. is transferred to the microcontroller (5). The central processing unit (5) preferably microcontroller, embedded processor, single-board computer, or digital signal processing unit It can be created within its structure. The central processing unit (5) is obtained from the piezoelectric sensor layer (2) It performs frequency analysis on the signals. Frequency analysis includes... The Fast Fourier Transform (FFT) algorithm is preferably used. FFT analysis 8 thanks to this, the physiological tremor components within the signal can be spectrally analyzed. They are being separated. The central processing unit (5) receives the tremor data from the optical fingerprint sensor. together with biometric verification data obtained from its surface (3) It evaluates not only the user's biometric identity, but also the system itself. also whether the access request is made by a conscious user It also analyzes whether it was implemented. The central processing unit (5) detects sufficient physiological tremor signals within the specified frequency ranges. if detected and biometric verification is successful, access control It sends a verification signal to the actuator / relay (6). Access control actuator / relay (6), preferably electronic lock, electromechanical relay, mobile device access module, computer access control unit or digital security interface It can be created in this way. The system detects artificial access attempts that occur without the user's consent. Sufficient physiological tremor in finger snapshots or unconscious user scenarios The access process is blocked because the data cannot be obtained. The invention includes software that runs within the central processing unit (5). Algorithms; involuntary muscle movements, vibrations that may occur during REM sleep. changes that may occur due to physiological differences or environmental vibration effects It can also include tolerance analyses to reduce erroneous assessments. In an application example; the user's finger (1) is placed on the optical fingerprint sensor surface. (3) when put in contact with the transparent PVDF piezoelectric sensor layer (2) The analog vibration signal detected by the active band-pass filter and operational It is filtered and amplified in the amplifier circuit (4). Then the central FFT-based spectral analysis is performed by the processing unit (5), the user Physiological tremor characteristics are determined and combined with biometric verification data. After evaluation, a confirmation signal is sent to the access control actuator / relay (6). Thanks to the invention; - Biometric verification and physiological viability analysis can be performed together. - Unauthorized access attempts can be reduced. 9 - Low-cost integration with existing optical fingerprint readers can be provided, - More stable measurements can be obtained against environmental mechanical noises. - Multi-parameter hybrid security verification can be performed. The system, in the form of a sample application of the invention (Figures 2 and 4), is a smartphone. integrated into an electronic door lock, security terminal, or critical access control device. It is used as a biometric authentication module. In the example application, approximately 20-80 on the optical fingerprint sensor surface (3) A transparent PVDF piezoelectric sensor layer (2) with a thickness of µm is laminated. Transparent PVDF piezoelectric sensor layer (2), optical sensor image acquisition It is structured with a permeability that will not impede its capacity. To perform user access verification, the human finger (1) When placed on the sensor surface, the optical fingerprint sensor surface (3) of the user It reads the fingerprint geometry; simultaneously, a transparent PVDF piezoelectric sensor layer. (2) involuntary physiological micro-vibrations originating from the fingertip It perceives. Low amplitude analog signals obtained from the piezoelectric sensor layer (2), The signal is transferred to the active band-pass filter and operational amplifier circuit (4). In this circuit, the signals are filtered in an approximately 8-12 Hz frequency range, and It is amplified through operational amplifier stages. Filtered analog signal to central processing unit / microcontroller (5) is sent. The central processing unit (5) is preferably an ARM-based microcontroller, single on-board computer, FPGA-based embedded system, or digital signal processing processor It is possible. FFT-based signal analysis algorithm running in the central processing unit (5) Thanks to this, the physiological tremor characteristics of the user are analyzed spectrally. The system algorithm is being developed; - tremor frequency distribution, - signal amplitude, - spectral stability, - temporal continuity, - It evaluates the biometric verification matching parameters together. The data obtained must meet predefined security thresholds. In this case, the central processing unit (5) verifies the access control actuator / relay (6). It sends a confirmation signal. This allows the electronic lock to be unlocked or the mobile device to gain access. It is being activated. In one scenario of the example application; the user consciously touches the sensor. when the system detects natural physiological tremor signals originating from the fingertip It is detected by [the system] and access is granted. Against this; - using silicone or artificial fingers, - application of only static fingerprint copy, - the user being in an unconscious state, - involuntary contact occurring during sleep, - attempted access without the user's consent - In these cases, sufficient physiological tremor characteristics could not be obtained, therefore the system not triggering the access control actuator / relay (6) and the access operation This is hindered. This situation is shown in Figure 3. In another application example, the system is used in highly secure data centers, military facilities. security terminals, defense industry access control systems, financial verification It can be used in terminals and biometric payment systems. Thanks to this invention, in addition to existing biometric authentication systems, Since the "conscious presence of the user" parameter can also be technically verified, obtain a layered and highly secure hybrid authentication infrastructure is being done.

Claims

11 REQUESTS 1. Biometric authentication data via finger contact and physiological tremor. It is a consciousness detector system that processes data together, and its feature is; - the optical fingerprint sensor surface (3) where the user's finger (1) makes contact transparent polyvinylidene fluoride (PVDF) laminated piezoelectric sensor layer (2), - analog obtained from transparent PVDF piezoelectric sensor layer (2) physiological tremor in the 8-12 Hz frequency range within the signals an active band-pass filter configured to allow its components to pass through and operational amplifier circuit (4), - obtained from active band-pass filter and operational amplifier circuit (4) fast Fourier transform-based spectral analysis on filtered signals It includes the central processing unit (5) which performs the function and - obtained from the surface of the optical fingerprint sensor (3) by the central processing unit (5). biometric verification data and physiological tremor data are combined by evaluating physiological tremor data with predetermined frequencies and Access control is enabled if the amplitude is within the threshold values. It is characterized by triggering the actuator / relay (6).

2. According to claim 1, it is a consciousness detection system, characterized by its transparent PVDF piezoelectric properties. thin film on the optical fingerprint sensor surface (3) of the sensor layer (2) It is characterized by its structure and light-transmitting properties.

3. According to claim 1, it is a consciousness detection system, characterized by an active band-pass filter and operational amplifier circuit (4), low frequency mechanical below 8 Hz motion components and high-frequency electrical noise above 12 Hz It is characterized by being structured in a way that suppresses its components.

4. It is a consciousness detector system according to claim 1, and its feature is that the central processing unit (5), digitizing filtered analog signals to analyze physiological frequencies in the frequency spectrum. It is characterized by its ability to generate the frequency spectrum characteristic of tremor.

5. It is a consciousness detector system according to claim 1, and its feature is that the central processing unit (5), Predetermined frequency and amplitude threshold values ​​of physiological tremor data 12 If it remains below, the access control actuator / relay (6) is in the passive state. It is characterized by its ability to hold on.

6. According to Claim 1, it is a consciousness detection system, the feature of which is an optical fingerprint sensor. optical sensor that detects the user's static fingerprint geometry on its surface (3) It is characterized by its structure.

7. According to Claim 1, it is a consciousness detection system, characterized by its transparent PVDF piezoelectric properties. mechanical micro- sensor layer (2) resulting from user finger (1) in a piezoelectric film structure that converts vibrations into analog electrical signals It is characterized by its...

8. It is a consciousness detector system according to claim 1, and its feature is that the central processing unit (5), Simultaneous combination of biometric authentication data and physiological tremor data. After verification, output signal to access control actuator / relay (6) It is characterized by its production.

9. According to Claim 1, it is a consciousness detector system, the feature of which is; the access control actuator. / relay (6) electronic lock, mobile device access module or computer access It is characterized by having a control interface.

10. It is a consciousness detector system according to claim 1, and its feature is that the central processing unit (5), short-term frequency changes resulting from involuntary muscle movements It is characterized by its evaluation using temporal spectral tolerance analysis.

11. According to Claim 1, it is a consciousness detection system, characterized by an active band-pass filter and operational amplifier circuit (4), operational amplifier-based active filter It is characterized by its creation in architecture.

12. According to Claim 1, it is a consciousness detection system, characterized by its transparent PVDF piezoelectric properties. sensor layer (2), optical fingerprint sensor surface (3) and user's finger It is characterized by its positioning between (1).

13. According to Claim 1, it is a consciousness detection system, characterized by its transparent PVDF piezoelectric properties. the sensor layer (2) is a thin film structure with a thickness of approximately 20-80 µm It is characterized by its creation.

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