Technical system of biometric and biomechanical certification using Artificial Intelligence or Advanced Statistics for the certification of identity, geolocation and user activity with digital notarization

Abstract

The technical system of biometric certification, geolocation and digital notarization allows the registration, analysis and certification of the user's identity, location and activity through physical sensors, artificial intelligence and digital certification technologies. The system collects motion data, system events, and biometric metrics, processing them with machine learning algorithms to detect unique patterns and verify that recorded movements belong exclusively to the authenticated user. These records are certified through digital notarization (blockchain, digital signatures, or other methods), ensuring their immutability and authenticity. This ensures a certified record of the reconstruction of events by geolocation and activity carried out with irrefutable proof of the impossibility of manipulating the records and certification that the records belong to the registered user. This invention is applicable to legal security, litigation, audits, and protection against digital fraud such as deepfakes or identity manipulation by comparing biometric patterns with those of the manipulated recording. Furthermore, its integration into mobile devices or embedded systems ensures its versatility.

Description

Technical system of biometric and biomechanical certification using Artificial Intelligence or Advanced Statistics for the certification of identity, geolocation and user activity with digital notarization TECHNICAL SECTOR The present invention falls within the fields of biometric sensing, artificial intelligence, digital notarization, and identity certification for legal and evidentiary use. It provides an advanced technical system that integrates hardware and software for capturing and analyzing biometric and motion data. Through physical sensors, AI algorithms, and digital certification, it guarantees the authenticity and immutability of records, enabling the certification of user identity, geolocation, and activity. Its application encompasses computer security, audits, litigation, certification of technical evidence in administrative and judicial environments, deepfakes and fake news, as well as the reconstruction and analysis of traffic accidents. BACKGROUND OF THE INVENTION In the administration of justice, evidence is the most important element of any proceeding. A judge's interpretation or a lawyer's skill may have an influence, but without objective and irrefutable evidence, the truth is left unprotected and justice becomes an exercise in persuasion rather than a search for the facts. However, in current judicial practice, the manipulation of evidence is a recurring problem, despite the penalties stipulated in the Penal Code. Witnesses often favor the party with whom they have a financial relationship, and expert witnesses, although required to act impartially, in most cases submit reports aligned with the version of events presented by their client. This creates a situation in which falsification is commonplace in legal proceedings, undermining the credibility of the system and leaving those affected without a genuine defense. Adding to this structural problem is the advancement of artificial intelligence in the manipulation of digital evidence, with particular concern regarding deepfakes or digital forgeries. These techniques allow the generation of videos in which a person apparently performs actions that never occurred, impersonating them with ever-increasing accuracy. The European Union has attempted to address this problem with its Artificial Intelligence Regulation, which includes the obligation to label artificially generated videos. However, this measure is insufficient, since any computer expert with advanced knowledge could remove the source label and present the video as legitimate evidence, just as witnesses and experts currently falsify statements without major consequences. This legal and technological vacuum is exacerbated by the lack of reliable tools to verify the authenticity of digital evidence. Currently, the justice system relies on expert reports, but no system exists that can definitively certify that a video has not been manipulated. Current forensic analysis methods can detect some alterations, but deepfakes evolve faster than detection tools, making verification increasingly difficult. On the other hand, in the area of ​​mobility and traffic, legal restrictions prevent the use of vehicle cameras to prove liability in accidents. The Spanish Data Protection Agency prohibits the widespread use of dashcams, as recording on public roads can infringe on the right to privacy of third parties. This leaves drivers with no way to prove they were not responsible for an accident, relying solely on witness testimonies that, as mentioned, are rarely impartial. Alternatively, some attempt to use Google Maps Timeline records with forensic experts to prove their location, but this method is ineffective. Google allows manual editing of location timelines without leaving a verifiable trace for third parties, making any attempt at certification easily manipulated. Furthermore, Google Maps Timeline does not verify the identity of the user who was carrying the device at the time, meaning someone else could have had the phone without it being recorded. This limitation renders the system unusable as reliable technical evidence in legal or administrative proceedings. Currently, there is no real method that allows a person to prove with absolute certainty where they were at a specific time. Given this scenario, the present invention provides an advanced technical solution that allows for the certification of a user's identity, location, and activity through a system based on physical sensors, artificial intelligence, and digital notarization. This system not only guarantees the authenticity and immutability of the captured data but also allows for the debunking of false evidence, such as deepfakes or manipulated accident reconstructions, by comparing the recorded data with any evidence presented in litigation. In a world where manipulating the truth is becoming increasingly easy, this invention represents a fundamental leap forward in justice, allowing each person to prove their innocence and defend their rights with irrefutable evidence. 1. Existing technologies in biometrics and location Currently, biometric and geolocation technologies have very specific applications in different sectors: • Real-time access and authentication: • Unlocking electronic devices using fingerprint, facial recognition or voice patterns. • Access control in companies, government buildings or critical infrastructure. • Payment systems and identity verification using biometrics in banks and cards. • Record of physical and health activity: • Devices such as smartwatches or activity bracelets that measure heart rate, sleep and physical exercise. • Biometric sensors in medical environments for real-time patient monitoring. • Geolocation and traceability: • Services such as Google Maps Timeline, which store GPS-based movement records for informational purposes and geolocation of photos and videos. • Sports applications that record routes using GPS and accelerometers. There are previous patents that address these aspects. For example, US2024414531A1 (SYSTEM AND METHOD FOR IMPLICIT AUTHENTICATION) describes a real-time biometric authentication system for a user to unlock a mobile device based on the user's muscle memory patterns, such as swipe gestures on the screen, while US2020134145A1 (APPARATUS AND METHODS FOR BIOMETRIC VERIFICATION) focuses on authentication using gait patterns analyzed with accelerometers and motion sensors. Therefore, they focus on real-time analysis and do not aim for a verifiable reconstruction of past events, where data immutability and user certification by patterns are essential and form the basis of the present technical system. 2. Fundamental differences with the present invention Despite the advancement of these technologies, they all share a key limitation: • Its purpose is not the immutable certification of the user's identity, location, and activity for use in legal proceedings or verifiable evidence. • They do not generate auditable or notarized proofs that can be presented as evidence to third parties. • They are based on real-time authentication for access opening or on activity analysis for informational, health or sports purposes, but not on the verifiable reconstruction of past events. In contrast, the present invention does not focus on opening access points or devices, nor on monitoring health or sports, but on creating a certified record of the user's location and activity, which can be used as conclusive evidence in litigation, audits, expert reports or claims. Neither health monitoring nor sports monitoring requires a guarantee of data immutability or a guarantee that such movements correspond to that person since their recording is for informational or health analysis purposes. Regarding the opening of access points and devices, a certified memory or a reconstruction of the events is not required, but rather a real-time application, so its purpose is different from that of the present technical system. In this case, the goal is to accurately certify and reconstruct a record of locations and activities for use as verifiable evidence before third parties. This is achieved through a system that guarantees data immutability and unambiguous authentication of the user's identity by analyzing movement patterns and events using artificial intelligence or advanced statistics, providing a technical system that currently does not exist in the fields of biometrics, health monitoring, or access control. 3. Novelty and technical contribution The proposed system integrates biometrics, geolocation and certification of historical records, analysis of movement patterns and events to certify that records of past events are immutable and unequivocally linked to a person. • Data associated with a person is stored and certified over time, ensuring its authenticity and immutability. • Biometric and motion sensors are used not only to verify identity, but to reconstruct a person's activity at a specific moment in the past. • The certification is valid as legal evidence, something that current systems do not contemplate. It is important to state that biometrics is currently used for real-time access and authentication or information monitoring, but not as a tool to prove past events unequivocally linked to a person. EXPLANATION OF THE INVENTION 1. Object of the Invention The present invention aims to create an advanced biometric certification and geolocation system that allows generating verifiable proof of the user's identity, location, and biomechanical activity, ensuring the integrity and authenticity of the records through digital notarization. In any legal proceeding, beyond the lawyer's prestige, the judge's interpretation, or the parties' resources, what truly defines justice is the evidence. Without solid evidence, the truth is called into question, and defenselessness becomes a real threat to every citizen. In a world where deepfakes and digital manipulation are undermining the credibility of testimonies and documents, this invention could be a major step forward in achieving true justice for all, allowing each person to prove their innocence, defend their rights, and protect themselves from any abuse or falsehood with complete security. Justice, in theory, is based on the search for truth. However, in judicial practice, lying is commonplace. Although perjury and false testimony are punishable by law, the reality is that the vast majority of experts, instead of acting as impartial agents of truth, submit reports designed exclusively to favor the party that hired them. In legal proceedings, there is always a party that lies for its own benefit, and the same is true of witnesses. In banking cases, for example, it is common for bank witnesses to fabricate stories about exhaustive explanations they never gave, claiming knowledge they do not possess and justifying practices that never occurred. Anyone familiar with the judicial system knows that it is exceptional to find a witness who will tell the truth when it harms their employer or someone who has financially benefited them.Faced with this reality, where the manipulation of truth is the norm, this invention represents a turning point: an objective, incorruptible and verifiable proof that can dismantle any falsehood and return justice to its original purpose: the defense of the truth. This system is designed to solve current problems in identity verification, location certification, and the fight against digital fraud, addressing challenges such as: • The lack of verifiable technical methods to immutably certify the presence and activity of a person in a specific place and time, preventing data manipulation and falsification of evidence. • The lack of reliable methods to prove the user's location and activity in legal and administrative proceedings. • The difficulty in detecting deepfakes, fake news and videos generated with artificial intelligence in judicial and security contexts. • The absence of an immutable certification of user movements and activity, which creates vulnerabilities in legal disputes and tax audits. This system provides a comprehensive solution by combining physical sensors, artificial intelligence, digital notarization, and biometric verification to ensure the authenticity of the recorded information. 2. General System Description The system is composed of four main modules, which work together to capture, analyze, certify, and verify the user's identity and activity: • Data Capture Module: Collects real-time information from physical sensors and data processed by the operating system or third-party applications. This includes accelerometer, gyroscope, GPS, barometer, magnetometer, proximity and ambient light sensors, biometric sensors such as heart rate, body temperature, and blood oxygen, as well as derived data processed by applications, such as heart rate variability (HRV) or physical activity analysis. In addition, the system can also extract evidence of user activity from operating system events, such as the activation of background applications, changes in device status, unlock logs, and other events that provide contextual evidence about device usage at a given time. • Artificial Intelligence Processing Module: Analyzes captured data to generate a unique biometric user profile. Detects anomalies in user activity to prevent impersonation or manipulation. Compares movement patterns with AI-generated videos (deepfakes) to verify authenticity. • Digital Notarization Module: Certifies blockchain records to guarantee their immutability and authenticity. Generates timestamps and digital signatures to prevent modifications or fraud. Allows users to retrieve their historical records at any time. • Applications and Verification Module: Offers verifiable evidence for legal proceedings and tax audits. Facilitates the validation of transactions and activity in administrative, judicial, or third-party environments. Provides tools for users to certify their identity and refute manipulated evidence against them. 3. Detailed Operation The system operates in three main phases: • Phase 1: Data Capture and Recording. Each time the user carries their device, the system collects movement, location, and biometric activity data, including data obtained directly from physical sensors as well as data processed by system or third-party applications. This may include advanced metrics derived from sensor processing, such as heart rate variability, physical activity analysis, or sleep patterns. In addition, the system also records indirect signs of activity on the device, such as changes in background processes, activation of applications, interaction with the screen or internal operating system logs, allowing a more complete reconstruction of the use of the device at a given time. • Phase 2: Analysis with Artificial Intelligence. An AI algorithm processes the information to generate a unique user profile, based on their gait, stride, heart rate, and movement patterns. If someone attempts to impersonate the user (for example, by spoofing their location), the system detects discrepancies in the biometric data and alerts to the potential manipulation. In the case of deepfake analysis, the system compares the user's actual movements with those in the video, checking for inconsistencies in posture, rhythm, or biomechanics. • Phase 3: Notarization and Proof Generation. Once the data is validated, the system certifies it on the Blockchain or with digital signatures. An immutable record is generated that can be retrieved by the user when needed. This record can be used as evidence in litigation, tax audits, or any procedure requiring identity and location verification. 4. Advantages and Applications This system overcomes the limitations of current technologies and offers key improvements in security, reliability, and evidentiary validity. Advantages over existing solutions • It guarantees immutable and verifiable certification of the user's identity, location, and activity, integrating multiple biometric sensors and AI algorithms to prevent manipulation or fraud. • Unalterable and incorruptible, thanks to Blockchain certification or digital signature. • Protects against deepfakes, verifying whether a manipulated video can be refuted with real mobility data. • It prevents manipulation or impersonation by detecting inconsistencies in the user's biometric and location activity. • Applicable in multiple sectors, from cybersecurity to tax audits and legal disputes. 5. Main Applications • Verification in Trials and Litigation: It not only certifies the user's identity and presence at a specific place and time, but also their activity during that period. This allows for the rebuttal of false accusations, demonstrating whether the person was performing an action different from the one attributed to them. • Protection against Digital Forgeries and Fake News: Beyond the legal sphere, this invention allows anyone to protect their reputation in the eyes of the public, refuting manipulated videos, fake news, and digital attacks based on deepfakes that attempt to link them to events that never happened. • Insurance Claims and Traffic Accidents: Accurately certifies the user's location, movement and activity at the time of an accident, providing verifiable evidence to prevent fraud and demonstrate responsibilities. • Tax Audits and Expense Justification: In procedures where the user is responsible for providing proof of their travel, the system certifies all expenses for the use of the vehicle at work, justifying its professional use in tax deductions, mileage claims and other administrative processes. This system, by uniquely integrating sensors, artificial intelligence, digital notarization, and identity certification, represents a robust and reliable solution to guarantee the authenticity of information in environments where data reliability is critical. BRIEF DESCRIPTION OF THE DRAWINGS This drawing represents, for illustrative and non-limiting purposes, the architecture of the biometric certification and geolocation system based on the analysis of sensory data, system events, and data processed by third-party applications. The visual representation describes the main modules and flows of the invention, organized as follows: Figure 1: Represents the technical system of the invention, showing the structure of the modules for capture, storage, analysis with artificial intelligence, digital notarization, and generation of expert evidence. The following processes are illustrated in this diagram: • Data Capture and Collection: Data is obtained from physical sensors, system events, and data processed by third-party applications. • Processing with Artificial Intelligence and Statistics: Analysis of activity patterns and detection of attempts at manipulation or identity theft. • Notarization and Encryption: Implementation of digital certification mechanisms to guarantee the immutability of records. • Generation of Evidence and Reports: Creation of verifiable expert reports with legal validity. Figure 2: This figure represents the hardware implementation of the system, using an architecture based on SBCs (Single Board Computers) such as Raspberry Pi and other embedded platforms or CPUs. The following details are shown in this diagram: • Sensor connections using communication protocols such as I2C, SPI and UART. • Storage modules using SD, SSD or NVMe. • Communication interfaces such as WiFi, Bluetooth and LTE. • Screen and power connection, allowing the system to be implemented on independent hardware. These diagrams are representative and not limiting, so the final implementation of the system can be adapted to different technical configurations without altering the scope of the invention. This invention ensures the generation of verifiable evidence about events that occurred over time, without depending on real-time verification. PREFERRED EMBODIMENT OF THE INVENTION 1. Detailed explanation of how the system works The present invention describes a biometric certification, geolocation, and digital fraud detection system based on physical sensors, artificial intelligence, and digital notarization. Its objective is to provide a reliable technical means of validating a user's identity and activity at a given time, guaranteeing the authenticity of records through advanced certification technologies. The invention can not only be integrated into existing electronic devices, such as smartphones or wearables, but can also be implemented in a complete hardware system, incorporating specific sensors on a standalone platform, such as a Raspberry Pi or similar embedded devices. This allows for the development of customized solutions for specific sectors, such as automotive, security, or forensic auditing. The preferred implementation of the system can be carried out using the following technologies: • On embedded hardware (Raspberry Pi or other dedicated systems): It can be integrated into a standalone processing unit based on Raspberry Pi, Jetson Nano, or other embedded systems, using sensors connected via GPIO, I2C, or SPI. For data capture, libraries such as Adafruit CircuitPython and specific libraries for GPS and biometric modules can be used. AI processing can be performed locally with TensorFlow Lite or optimized C++ models, allowing for efficient execution without requiring constant connectivity. • On mobile devices (iPhone / Android): Native libraries of each operating system would be used, such as CoreMotion and HealthKit in iOS, or SensorManager and ActivityRecognition in Android, to capture motion, geolocation and biometric activity data of the user. • On servers with Artificial Intelligence: Data analysis can be performed on a dedicated server using Python with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. For the detection of biometric and motion patterns, a Siamese convolutional network model would be used, which allows for verifying a user's authenticity based on the similarity of their activity to previous records. • On-device AI: Alternatively, AI analysis can be performed locally using operating system technologies, such as Core ML on iOS, TensorFlow Lite on Android, or Edge TPU on embedded devices, reducing the need to send data to the cloud and improving user privacy. • Data notarization and certification: To ensure the immutability of records, information can be notarized using Blockchain technology, digital signatures and advanced cryptography, recording the information in a distributed database or on secure servers with timestamping. This integration allows the system to be adapted to multiple environments, ensuring its operation on mobile devices, embedded hardware, or external servers according to the user's needs. 2. Industrial application and everyday use cases This system is suitable for industrial application across multiple sectors, both in existing commercial devices and on custom hardware platforms. Beyond its technical feasibility, its impact is reflected in real-world situations where identity, location, and activity verification is crucial. Below are some everyday use cases where this invention makes a significant difference: • Traffic accidents and liability disputes: • In an accident where both parties claim to be right, this system allows for the certification of the user's location, speed, and movement patterns at the exact moment of impact, disproving false versions and clarifying responsibilities. • Defense against false accusations in the legal field: • In cases of custody disputes, where one ex-partner tries to falsely accuse the other to gain legal advantages, the system allows for certification that the accused was not at the scene of the events or for proof of their activity in another location. • In criminal complaints, such as robberies or assaults, where a person is falsely accused with false witnesses, biometric and biomechanical certification makes it possible to prove that the person was not guilty. • Expert evidence in banking, notarial or other types of litigation: • One specific case involved a family who, believing they were signing a deed in lieu of foreclosure, were actually tricked by the bank into signing deeds that allowed the bank to seize all their assets. In just 30 minutes, six complex and convoluted notarial deeds were drawn up, designed to be incomprehensible—insufficient time for them to read and understand them properly. As a result, the family lost their property and faced eviction. This system can certify that there was insufficient time to read and explain the documents, providing key evidence in litigation of this kind. • Tax audits and expense justification: • In proceedings where the burden of proof rests with the taxpayer, the system allows for demonstrating actual journeys made to justify the use of a vehicle for professional activities. This is key in tax audits where proof of car use for work purposes is required. • Protection against deepfakes and fake news: • Concern about this issue is reflected in the European Union's Artificial Intelligence Act (Regulation (EU) 2023 / 1114), which establishes the obligation to label AI-generated videos as "artificial content." However, this requirement is easily circumvented, as a malicious expert can remove this label. • The present invention makes it possible to verify whether a video has been manipulated by analyzing the biomechanics of the subject in the video and comparing it with the user's real patterns, which provides solid technical evidence in judicial and media processes. The EU's concern about fake news and deepfakes is growing, and their impact will increase exponentially in the coming years, potentially allowing for the use of manipulated evidence to frame individuals for events that occurred in the present. It is essential that users implement this system as soon as possible, as its immediate use will allow for the storage of verifiable evidence of their identity, location, and activity. In this way, if in a few years someone attempts to create a deepfake that falsely implicates them in events supposedly occurring today, the system will provide irrefutable technical proof that refutes any attempt at digital fraud or evidence manipulation. Automotive and insurance sector: • In vehicles, the system can be installed in the car's control unit to record events such as sudden braking, lane changes, and abnormal accelerations, generating objective technical evidence in cases of disputes with insurance companies. Layoffs and labor disputes: • A worker is dismissed under the accusation of not having attended his workplace or having failed to comply with his schedule. • This system allows for verification with verifiable data that the employee was indeed present at their workplace, demonstrating their location and activity through biometric records and system events. • It can also protect against accusations of job abandonment or leaving work outside of working hours. • Mobile phone theft and use in a crime: • If a mobile device is stolen and used to commit a crime (such as making extortion calls, accessing bank accounts, or impersonating others), this system can prove with biometrics and activity logs that the legitimate user did not use the phone during that time period, disproving any accusations against them. • Forgery of signature on contract: • Numerous cases have been detected in which people appear as signatories on documents that they never signed. • This system allows certification with biometrics and activity records that the user was not present at the notary's office or at the scene of the events on the date in question, invalidating any attempt at document fraud. • Use cases in rentals or Airbnb: • A user rents an apartment on Airbnb and subsequently the owner accuses him of having caused damage to the property, claiming compensation or the retention of the deposit. • This system allows proof that the user had already left the property at the time the damage occurred, protecting them from unfair claims. This system allows for the rebuttal of false accusations with irrefutable technical evidence, guaranteeing legal certainty and privacy protection. The collected data is exclusively accessible to the user, ensuring that no one can use it without their consent. In this way, the system respects the individual's fundamental right to choose their own means of proof in their defense, providing a reliable and verifiable certification mechanism without compromising their privacy. 3. Integration with the attached drawings The system is described in the accompanying drawings for illustrative purposes only and is not intended to be limiting. The system's modular architecture reflects the data flow from capture to the generation of verifiable evidence. • The system's sensors and events collect location, biometric, and user activity data. • A data collection module stores this information in a temporary database for processing. • The AI ​​and advanced statistics analytics module evaluates user patterns and detects anomalies. • Validated records are notarized on Blockchain or with digital signatures to guarantee their authenticity. • An expert report with technical validity is generated, which can be used in trials, audits and other applications. This modular approach allows the invention to be adapted to different technological environments, including implementations in mobile devices, cloud servers, or embedded systems in custom hardware.

Claims

1. A technical system for biometric certification and geolocation in electronic devices, characterized by: • Capturing and recording data obtained from at least one sensor integrated into the device, including but not limited to accelerometers, gyroscopes, GPS, heart rate sensors, and other physical activity sensors. • Analyzing said data using advanced machine learning and artificial intelligence models, including pattern recognition techniques, neural networks, linear regression, deep learning, or other statistical or AI approaches, in order to certify the authenticity of the user's identity based on their behavior and physiological parameters. • Notarizing the collected information using digital certification technology to guarantee the immutability, integrity, and authenticity of the records.• Generate, at any time, a certified record of the reconstruction of events with verifiable evidence of the user's location, movements, and physiological activity from the time the application was installed, allowing the retrieval of historical records for use as evidence in audits, judicial or administrative proceedings, private settings, or any other context that requires technical validation and certification of the user's presence, movements, and activity over time. 2.The system according to claim 1, wherein the data collection includes: • Data obtained directly from one or more physical sensors of the device, including, but not limited to: • Accelerometer • Gyroscope • Magnetometer • Barometer • GPS • Heart rate sensor • Body temperature sensor • Blood oxygen sensor • One or more derived data processed by the operating system itself or third-party applications, including, but not limited to: • Heart rate variability (HRV) • Sleep analysis • Maximum oxygen consumption (VO2 max) • Physical activity metrics and movement patterns 3.The system according to claim 1, wherein the data collected from physical sensors and derived data are analyzed using artificial intelligence to generate a unique biometric profile of the user based on their movement behavior, physiological patterns, and geolocation, allowing for the certification that the recorded movements belong exclusively to the authenticated user and enabling the detection of any attempt at impersonation or fraudulent use of the device.

4. The system according to claim 1, wherein the collected data, from both physical sensors and derived data, are stored in a certified local and / or remote database, and their integrity is guaranteed through notarization, using Blockchain, digital signatures, or any other certification system that ensures the immutability and authenticity of the records. 5.The system according to claim 1, wherein biometric and geolocation information is stored in encrypted form and accessible only through authentication of the user or authorized entities.

6. The system according to claim 1, wherein notarization on the Blockchain is performed at predefined time intervals or when a relevant event is detected in the user's data.

7. The system according to claim 1, wherein the notarized records can be verified exclusively by the user, without third parties being able to access the recorded information, guaranteeing the authenticity and integrity of the data through encryption techniques, so that the existence and validity of the record can only be verified by the user without exposing its content to any other entity. 8.The system according to claim 1, wherein the data collected and analyzed using artificial intelligence is used to verify the authenticity of digitally generated videos, including deepfakes or fake news, by comparing the biometric patterns of user movement and activity with those present in the recording, allowing the detection of inconsistencies that indicate manipulation of the recording or identity theft.

Images