AN INTEGRATED SYSTEM AND METHOD THAT GENERATES A PERSONALIZED COGNITIVE NEURONAMPHINE PRESCRIPTION BASED ON STANDARD OPTICAL IMAGING, BIOMETRIC IRIS TRACKING, AND AUTONOMOUS PULSE ANALYSIS, USING CONTINUOUS PERFORMANCE TEST (CPT) DATA.

Abstract

The invention is an integrated system and method that, without requiring external hardware or special sensors, simultaneously tracks the dual iris center and the head's ceiling / rotation angle with 468 facial reference points via a standard RGB webcam; performs contactless pulse and stress measurement using photoplethysmography (rPPG); includes natural blink (SBR), post-error recovery (PES), and dyslexia neuro-reading analyzers; analyzes Continuous Performance Test (CPT) data to automatically prioritize at least 500 cognitive training courses (FocusGym) according to the client's individual deficiencies; and generates personalized neuro-prescriptions for 4, 6, 8, and 12 weeks. Thanks to this invention, both diagnosis and personalized therapy are performed end-to-end in a single, independent web architecture with zero hardware cost.

Description

TARIFF BIOMETRIC IRIS TRACKING AND AUTONOMOUS HEART RATE MONITORING WITH STANDARD OPTICAL IMAGING. THE ANALYSIS WAS CONDUCTED BASED ON CONTINUOUS PERFORMANCE TEST (CPT) DATA. AN INTEGRATED SYSTEM AND METHOD FOR GENERATING PERSONALIZED COGNITIVE NEURO-PRESCRIPTIONS. THE TECHNICAL FIELD TO WHICH THE INVENTION IS RELEVANT This invention has implications for health informatics, AI-based computer vision, biometrics, It is related to neuropsychology and attention / cognitive performance assessment technologies. The invention is particularly useful in eliminating the need for expensive external infrared equipment or wearable sensors. Without hearing, dual iris with 468 facial reference points via a standard RGB webcam. microscopic color on the facial skin that simultaneously tracks the center and the top / rotation angle of the head. heart rate and stress level from fluctuations (rPPG - remote photoplethysmography) contactless output; Continuous Performance Test (CPT) and By analyzing reading / dyslexia data, cognitive pathways are created according to the client's neurological deficits. Automatically prioritizes and offers personalized neuro-training programs for 4, 6, 8, and 12 weeks. It involves an integrated system and method that generates the prescription. STATE OF THE ART (PREVIOUS ART) Cognitive attention deficit, hyperactivity and impulsivity (ADHD), concentration disorders, and Continuous Performance Tests (CPT) are traditionally used in screening for reading difficulties (dyslexia). It is used (e.g., MOXO, TOVA, IVA-2). However, in the current state of the technology, the following is true: There are significant technical and operational limitations: - Dependence on Expensive and Proprietary Hardware: Existing eye-tracking and biofeedback systems (for example) Tobii or EEG-based devices), thousands of dollars worth of specialized infrared (IR) cameras, optical sensors or requires headbands. This situation necessitates bringing technology into homes, schools, and standard clinics. It prevents its spread. - Blind Spots and Ceiling Angle Illusion: Existing simple webcam-based eye-tracking software, the iris of the eyelid when the client lifts their head towards the ceiling or makes a vertical tilt (pitch). Because of the obscuring effect, it causes a loss of direction of vision and produces a false "focused" signal. - Lack of Physiological Stress Data: Current CPT tests assess the client's autonomic nervous system. It is unable to measure arousal (heart rate, anxiety, panic attacks); the errors in the test result are noteworthy. They are unable to distinguish whether it stems from a deficiency or from excessive exam stress. 1 - Diagnosis-Therapy Discontinuity (Inability to Generate Prescriptions): Current CPT software only provides a test report. It produces; after the test, it determines which exercises the client should do, at what frequency, and for how many weeks. It is unable to create an integrated neuro-training pathway as required. TECHNICAL PROBLEMS SOLVED AND INNOVATIONS BROUGHT ABOUT BY THE INVENTION The system described in the invention overcomes all the aforementioned shortcomings in the prior art. This is eliminated through the following innovative technical solutions: - Zero-Hardware Biometric Tracking: A standard RGB webcam image. 468 facial landmark points are simultaneously scanned. The boundaries around the eye and the center of the iris. Relative normalized distance vectors between them are calculated. - 360° Iris and Ceiling Angle (Ceiling Detection) Algorithm: Not just based on iris coordinates; The ratio of the vertical distances between the tip of the nose, the bridge of the nose, and the peak of the forehead is examined. (Client) When the head is tilted upwards / towards the ceiling, the system activates when the nose-forehead vertical delta distance exceeds the threshold value. It instantly detects loss of focus and automatically pauses the test / exercise (Auto-Pause). - Live Eye Control During Cognitive Exercise (Closed-Loop Neuro-Gaze ​​Feedback): Biometric eye tracking is used not only in diagnostic tests but also during the execution of cognitive training courses. It also works in real-time in the background. When the client takes their eyes off the screen while playing the obstacle course... The exercise timer is paused, and progress is locked until focus returns to the screen. - Non-contact Optical Pulse and Stress Analysis (rPPG): Selected areas of interest on the face, such as the forehead and cheek region. The pixel density of the green color channel (ROI) in the area is filtered as a time series; With photoplethysmography, heart rate (BPM) is calculated non-contact and in real-time. - Biometric Neuro-Reading and Dyslexia Analyzer: Backtracking during dynamic text reading. (saccadic regression) frequency, word fixation times (ms), and reading fluency (WPM) and comprehension. The correlation is extracted. Directly on the text, a 3-point perimeter calibration and center are displayed. Precise scanning is performed with locked verification. - Automated Dynamic Sequencing and Neuroplasticity Prescription: Derived from CPT test results Metrics are subjected to a neuropsychological weighting matrix, and exercise courses are created according to areas of deficiency. They are prioritized and personalized prescriptions are generated for 4, 6, 8, and 12 weeks. - Self-Contained Single File Hybrid Integration Architecture: Entire system installation-free, serverless. and a bidirectional bridge on the client side over a single, independent distribution file (single web architecture). It works with. 2 EXPLANATION OF THE FIGURES Figure 1: Block diagram of the system's overall hardware and web architecture. Figure 2: Flowchart of multi-face point, dual iris, and ceiling angle detection via RGB camera. Figure 3: Neuropsychological weighting algorithm of CPT test metrics into cognitive pathways. conversion scheme. Figure 4: Adaptation scheme for neuroplasticity session frequency at weeks 4, 6, 8, and 12. Figure 5: Technical flowcharts of original cognitive and inhibitory pathway mechanisms. Figure 6: Technical flowcharts of advanced oculomotor and focal pathway mechanisms. Figure 7: Technical flowcharts of dual-lobe, mirror motor, and ghost letter track mechanisms. Figure 8: Technical flow of biofeedback, multichannel attention, and Gestalt integration mechanisms. diagrams. Figure 9: Technical flowcharts of kinetic acceleration, 40 Hz gamma, and mirror readout mechanisms. Figure 10: Technical flowcharts of master neurosymphony and morphological language mechanisms. Figure 11: Flowchart of biometric neuro-reading, saccadic regression, and 3-point environmental calibration. Figure 12: Spontaneous blinking (SBR), post-error slowdown (PES), and single-file architecture streaming. diagram. DETAILED DESCRIPTION OF THE INVENTION AND MODULE ARCHITECTURE Pre-Calibration and Environmental Adaptation Subsystem: System environment before testing begins. It automatically corrects the lighting, the pixel distance of the face to the camera, and the clarity of the iris. Face The test lock is released when the position aligns with the ideal focal ellipse. Dynamic Visual and Auditory Distractor Engine: The CPT test engine consists of cognitive challenge blocks. It consists of: Primary Pure Stimulus Block, Visual Distractor Block, Auditory Distractor Block, and Combined Sensory Block. Loading Block. Multidimensional Error and Cognitive Metric Decomposition: Basic principles during system testing. It dissects neuropsychological parameters: Impulsive Commissioning Errors, Negligence Omion Errors, Mean Reaction Time (RT), Response Consistency (SDRT), Prediction / Gap Errors (ISI), Cognitive Fatigue Index and Normative Age Group Z-Score. Dynamic Obstacle Course Sequencing and Neuro-Prescription: Cognitive Analysis Based on CPT Diagnostic Results Exercise courses are prioritized according to a neuropsychological weighting matrix; the client's deficiencies Personalized training sessions are created based on the individual's level. 3

Claims

REQUESTS 1. The invention relates to at least one internal, external or mobile optical image acquisition device (camera, webcam, USB). a device that includes a camera or optical sensor and a processor, used for measuring cognitive performance and exercise. It is a prescription method; its characteristic feature is; - Multiple facial reference points on optical images taken from the user's face. Identify the right and left iris centers by scanning (preferably 468 or more facial landmark points). to do, - By calculating the normalized vertical and horizontal ratios of the iris centers to the eyelid margins. monitoring eye fixation, - The change in the vertical relative distance between the reference points of the nasal tip, nasal bridge, and forehead. By monitoring, it simultaneously calculates the vertical ceiling angle of the head and head rotation, - Reaction time (RT) and response consistency (SDRT) produced during Continuous Performance Testing (CPT), Impulsive commissioning errors and negligent omyosinosis errors with regard to iris and head rotation data. synchronized recording, - By subjecting the obtained CPT test data to a neuropsychological weighting matrix, at least two or more Multiple cognitive training courses are automatically tailored to the client's level of deficiency. It involves prioritizing the steps involved.

2. The invention; a processor that runs on dynamic cognitive processing based on Continuous Performance Test (CPT) data. It is a method that generates exercise prescriptions; its characteristic feature is: - Impulsive commissioning errors (C), omission errors (O), mean obtained from a CPT test. It takes reaction time (RT) and response consistency standard deviation (SDRT) data as input. - By processing these metrics with predefined neuropsychological weighting coefficients, multiple Calculating separate priority scores for the cognitive training course, - Based on the calculated priority scores, the cognitive obstacle courses in question are listed from those with the highest need to those with the highest. Automatically prioritizing them from lowest to lowest, - Determined according to the protocol duration parameter selected by the user (4, 6, 8 or 12 weeks). Weekly session frequencies (4x, 3x, 2x, 1x per week) for priority courses 1, 2, and 3 are dynamic. It includes the steps to create it. 4 3. The invention comprises at least one optical image acquisition unit (camera), whether internal, external, or mobile, and a processor. It is a method that involves focus monitoring during cognitive tests and exercises; its characteristic feature is: - Optical images taken of the user's face show the tip of the nose, the bridge of the nose, and the forehead. It monitors the change in the vertical relative distance between reference points, - The delta distance along the vertical axis of the head exceeds a predetermined normalized threshold value. In this situation, by detecting that the user is looking up at the ceiling, the active CPT test or cognitive test is administered. automatic pause of the exercise session (Auto-Pause), - The session continues from where it left off when the perspective and head position return to normal limits. It includes the steps to make it happen.

4. The invention describes a system that runs on a processor and uses a test report loaded from an external source to perform cognitive analysis. It is a method for structuring exercise tracks; its characteristic feature is: - Parsing an externally uploaded CPT test report file (CSV, JSON, or data format) The commission reads metrics such as omyon, reaction time, and eye deviation. - By subjecting these separated metrics to a neuropsychological weighting matrix, we can identify the multiple metrics at the interface. Automatically rearranges the order of multiple cognitive training courses and priority badges. It includes the steps for the appointment.

5. The method is compliant with claims 1, 2 or 4 and its characteristic is; impulsive commission in CPT test results. Mental Braking (Reverse Go / No-Go) and Patience Threshold by weighting the number of errors (C). He places balance courses at the very top of his priority list.

6. The method that conforms to claim 1, 2 or 4 and has the characteristic of having a negligible number of omission errors (O). Distractor Shielding and Flanker Selective Attention are achieved by weighting. It is about placing its tracks at the highest priority.

7. The method conforming to claims 1, 2 or 4 is characterized by having a normative mean reaction time (RT). RSVP Fast Text Flow and Schulte Grid Symbol Hunt if slower than the threshold value It prioritizes its tracks as accelerating targets.

8. The method conforming to claim 1, 2 or 4 is characterized by the percentage of eye focus deviation (G). By weighting, the Saccadic Eye Blink and Anti-Saccadic Reflex Suppression courses are maximized. It is about placing them in order of priority.

9. The method conforming to claim 1 or 3 is characterized by the selection of the area of ​​interest from the optical image of the facial region. The green color channel pixel fluctuations in the ROI (Return on Interest) area filter the user's data during testing. It calculates heart rate (rPPG pulse) and autonomic stress level non-contactually.

10. The method is compliant with claim 1 or 2 and its characteristic is that the CPT test in question uses visual distractors, at least two or more difficulty blocks containing auditory distractors and combined sensory distractors It records focal deviations separately according to their occurrence and the type of distractor.

11. The method conforming to claim 1, 2 or 4 is characterized by its interval between two stimuli (ISI). or early key presses made before 100 ms are classified as motor restlessness and impatience errors. It involves separating these components and adding them to the priority score of the Patience Threshold Balance course.

12. The method conforming to claim 1, 2 or 4 is characterized by its average velocity during the first half of the CPT test. by calculating the decrease in average speed between the two halves (Cognitive Fatigue Index) It involves adapting the duration and frequency of exercise sessions according to the level of exhaustion.

13. A method that complies with Claim 1, 2 or 4 and is characterized by its calculated error and speed metrics. Normative database averages for the client's age group (5-12 children, 13-17 adolescents, 18+ adults) It generates a clinical Z-score by comparing it with the standard deviations of the Z-score.

14. The method must comply with Claim 1 or 3 and its characteristic feature is; the ambient light intensity before the start of the test, a pre-calibration module that automatically verifies the pixel distance of the face to the camera and the iris clarity It includes.

15. The method is compliant with Claim 1 or 3 and its characteristic is that the biometric iris tracking in question, During the cognitive training courses performed by the user, a closed circuit is running in the background. It operates in (closed-loop) mode, pausing the exercise timer when the eyes leave the screen. and to continue the session once full oculomotor focus is achieved.

16. Invention; Code programmed to perform the method steps in Claims 1 to 15. containing blocks and without requiring an external hardware driver on a standard web browser It is a functioning cognitive diagnostic and neurotraining system. 6 17. The method conforming to claim 1 or 3 has the characteristic of allowing the user to select dynamic text presented on the screen. During reading, optical imaging tracks the iris; the eye's backward movement along the line (saccadic movement) (regression) frequency, millisecond fixation pause times on word phrases, by simultaneously analyzing net words per minute (WPM) and comprehension test responses It generates a reading difficulty and dyslexia risk score.

18. The method that conforms to claim 1, 3 or 17 is characterized by the first word of the reading text, the first three dots that are dynamically placed directly on the last word of the line and the last word of the paragraph. It includes an environmental calibration layer; the center is locked by looking at the screen center before testing. Based on the baseline reference, the user's eye and head vector physically corresponds to the relevant corner points. Angular directional gating calibration that does not confirm unless oriented. It includes an algorithm.

19. The method is in accordance with claim 1 or 17, and its characteristics include the character length of the reading text and age. By instantly comparing the category and the vertical resolution of the screen window, the text box point size and line spacing to fully cover the area without creating a scroll bar on the vertical axis. It includes a dynamic fit (Zero-Scrollbar Auto-Fit) engine that automatically scales.

20. Method conforming to claim 1 or 3, characterized by its vertical eyelid opening ratio (EAR). by calculating the user's spontaneous blink rate (SBR) per minute, dopaminergic Extracting arousal and cognitive fatigue index; also transient vision during blinking. by detecting the interruption and classifying the stimulus responses provided during this time as an unfair error / omission. It includes a biometric filtering layer that does not record anything.

21. The method that complies with claim 1, 2 or 4 is characterized by its occurrence immediately after an incorrect key press. the slowing of the response time to the next incoming stimulus and the recovery coefficient (Post- Error Slowing (PES) measures the user's prefrontal self-regulation in milliseconds. its capacity and cognitive breaking point under sensory distraction intensity. It is a Point (CBP) calculation.

22. The invention includes all the method steps in Claims 1 to 21 and is characterized by: Continuous The Performance Test (CPT) module utilizes AI computer vision libraries and contactless rPPG pulse scanning. motor skills, dyslexia neuro-reading analyzer, cognitive neuro-training course with at least 500 exercises. its entire library and clinical PDF reporting engine is stored on an external server, local database, or Self-contained HTML file architecture that does not require the installation of external software. It is run on the client side in a Single-File Architecture. 7

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