Description:FIELD OF THE INVENTION

[0001] The present invention relates to a cognitive health diagnostics system that is capable of assessing the cognitive abilities of a user in a structured and measurable way, allowing evaluation of memory, attention, reflexes, and ability to recognize patterns under consistent conditions to provide accurate and reliable results.

BACKGROUND OF THE INVENTION

[0002] Cognitive health is an important aspect of overall well-being as it relates to memory, thinking, attention, and decision-making abilities. Regular assessment of cognitive functions is necessary for early detection of neurological conditions, age-related decline, or other health issues. Monitoring cognitive health also helps in tracking recovery progress after illness or injury and supports preventive healthcare practices.

[0003] Traditionally, cognitive assessments are performed manually by healthcare professionals using paper-based questionnaires, interactive tasks, or clinical observation. These methods require the physical presence of trained experts, are often time consuming, and depend on subjective evaluation. Manual assessments may also vary in accuracy due to differences in administration style or interpretation by different professionals.

[0004] Existing approaches further face limitations such as limited data recording, absence of real-time physiological monitoring, and lack of dynamic test adjustments based on individual performance. In many cases, traditional methods do not provide continuous monitoring or immediate feedback to caregivers. These drawbacks reduce the effectiveness of early detection and consistent tracking of cognitive health, creating a need for more reliable and automated systems of assessment.

[0005] US11278230B2 discloses about an improved system for assessing cognitive function is described that uses tracked electrical activity of the brain of the individuals in response to a specific sequence of stimuli in generating data sets, which, for example, can be encapsulated as a data structure. The data sets can include tracked specific response types, at different times and amplitudes, including, but not limited to, event related potential signal components. Brainwave features including, event related potentials, are tracked in relation to both pre-attentive brain responses and consciously controlled attention responses.

[0006] US6632174B1 discloses about a method for testing and/or training cognitive ability, including the steps of testing a preliminary cognitive level of a user and receiving results representative therefrom. According to the results, the cognitive level may then be broken up into separate discrete cognitive skills, and one or more tasks may be created, each task related to each of the separate discrete cognitive skills. The one or more tasks may then be presented to the user and so that a current cognitive level of the user is re-tested, and results representative therefrom are received. This process may be repeated at least one time.

[0007] Conventionally, many systems are available for diagnosing cognitive health. However, the cited invention shows certain limitation such as dependence on specific testing environments, limited adaptability to diverse user needs, and lack of comprehensive real-time monitoring. These systems often fail to provide continuous assessment and dynamic adjustment, which are essential for accurate long-term evaluation of cognitive health conditions.

[0008] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system where cognitive health can be assessed more accurately, consistently, and efficiently. The system should reduce dependency on manual methods, minimize subjective errors, and provide continuous monitoring with timely feedback, thereby supporting early detection, preventive care, and effective long-term management of cognitive conditions.

OBJECTS OF THE INVENTION

[0009] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0010] An object of the present invention is to develop a system that is capable of assessing cognitive functions of a user in a controlled and measurable manner, allowing evaluation of memory, and pattern recognition under consistent conditions to ensure reliable results.

[0011] Another object of the present invention is to develop a system that is capable of enabling real-time monitoring and analysis of a user’s psychological behavioral responses, allowing continuous tracking of brain activity, to gain accurate insights into the user’s cognitive state.

[0012] An another object of the present invention is a system that is capable of dynamically adjusting the level of difficulty of quizzes based on the user’s performance and responses, thereby providing meaningful performance metrics.

[0013] Yet another object of the present invention is a system that is capable of ensuring user safety and maintain proper posture during cognitive assessment sessions, providing a secure and comfortable environment, and ensuring that assessment outcomes are not affected by user discomfort or instability.

[0014] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0015] The present invention relates to a cognitive health diagnostics system that is capable of allowing real-time monitoring and analysis of a user’s body and behavioral responses during cognitive testing, enabling continuous tracking of brain activity, heart rate, and movements to obtain accurate information about the user’s cognitive condition, to ensure reliable results.

[0016] According to an aspect of the present invention, a cognitive health diagnostics system comprising of a housing configured to accommodate a user, the housing comprising a hinged door operable to facilitate controlled entry and exit of the user, a seating unit positioned on a floor surface within the housing, the seating unit equipped with a plurality of pressure sensors configured to detect user occupancy, an artificial intelligence (AI) camera integrated with an infrared (IR) sensor, mounted on a front wall of the housing, to perform facial recognition for user identification and authentication, a headband attached to a hinged horizontally oriented L-shaped extendable link mounted on a ceiling of the housing, the headband being positioned over the user's head and integrated with a sensing module to capture real-time physiological data.

[0017] According to another aspect of the present invention, the system further includes quiz-based diagnostic module employed in the housing, configured to perform multi-level cognitive assessments through interactive tests, a quick reflex response module integrated into the housing to evaluate user reaction time based on dynamic object-interaction testing, a tile-matching module integrated inside the housing to assess visual memory and pattern recognition ability of the user, a centralized microcontroller configured to process data from the imaging unit, sensing module, and to dynamically adjust operational parameters of various modules including the diagnostic module, headband positioning, response module, and display elements based on real-time user behavior and physiological feedback.

[0018] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a perspective view of a cognitive health diagnostics system.

DETAILED DESCRIPTION OF THE INVENTION

[0020] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0021] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0022] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0023] The present invention relates to a cognitive health diagnostics system that is capable of facilitating adaptive evaluation by dynamically adjusting the level of difficulty of tests based on the user’s performance and responses, thereby ensuring that each assessment is custom-made to the individual’s capabilities and provides meaningful performance metrics.

[0024] Referring to Figure 1, a perspective view of a cognitive health diagnostics system is illustrated comprising of a housing 101, the housing 101 comprising a hinged door 102, a seating unit 103 positioned on a floor surface within the housing 101, an artificial intelligence (AI) camera 104 mounted on a front wall of the housing 101, a headband 105 attached to a hinged horizontally oriented L-shaped extendable link 106 mounted on a ceiling of the housing 101, a quiz-based diagnostic module 107 employed in the housing 101 includes a display unit 107a mounted on a front wall of the housing 101, a set of pressure-sensitive LED (light emitting diode) buttons 107b arranged below the display unit 107a.

[0025] Figure 1 further includes a quick reflex response module 108 integrated into the housing 101 includes a C-shaped framework 108a mounted on an elongated member 108b disposed at a lateral section of the housing 101, via primary electromagnets 108c , the framework comprising a plurality of poles 108d, a perpendicular plate 108e housed within a front wall of the housing 101 and mounted on an extendable rod 108f, a tile-matching module 109 integrated inside the housing 101 includes a vertical motorized slider 109a housed within a ceiling portion of the housing 101, a rectangular unit 109b mounted on the slider 109a, the unit comprising a plurality of movable square-shaped LED (light emitting diode) panels 109c, a motorized four-bar linkage 110 mounted on sides of the housing 101 with pincers at distal ends, a voice recognition module 111 is integrated with the housing 101.

[0026] The system discloses herein is primarily enclosed within the housing 101 configured to accommodate a user, the housing 101 being equipped with the hinged door 102 that facilitates controlled entry and exit of the user, ensuring safety and restricted access during operation.

[0027] The housing 101 mentioned herein is formed using a rigid frame fabricated from high-strength metal, ensuring load-bearing capacity and long-term durability. The outer panels of the housing 101 are fabricated from lightweight materials such as reinforced polymer or coated aluminum, providing protection against external impacts and environmental influences. The overall shape of the housing 101 is generally cuboidal with an ergonomically contoured interior to maximize user comfort.

[0028] The internal layout of the housing 101 is reinforced to provide stability on floor surfaces, while the walls and ceiling are integrated with rounded corners to reduce stress points and improve safety. The internal layout mentioned herein is spacious enough to allow unobstructed seating and free positioning of diagnostic components while maintaining an ergonomic arrangement. The floor surface is reinforced with a non-slip, layer to ensure user stability, and the walls are lined with smooth, non-toxic materials that are easy to sanitize. The interior is further equipped with sound-absorbing and vibration-dampening panels to create a quiet, distraction-free environment, thereby enhancing the accuracy of cognitive assessments and improving user comfort throughout the diagnostic process.

[0029] The hinged door 102 mentioned herein operates through a motorized hinge joint configured to provide controlled opening and closing. The hinge joint comprises two interlocking parts, one part is of cylindrical shape and the other part includes a corresponding groove to receive and support the cylindrical portion, thereby enabling pivoting around a fixed axis. The hinge joint is operatively coupled to a motor, which generates a rotational force transmitted to the hinge through a mechanical linkage. The linkage includes gears, belts, or direct coupling configured to efficiently transfer torque from the motor to the hinge axis. During operation, the motor’s rotation is converted into controlled angular displacement of the hinge, enabling smooth and guided movement of the door 102. This arrangement allows the door 102 to open or close reliably under automated control, ensuring safety, precision, and restricted access during diagnostic sessions

[0030] The housing 101 comprises the seating unit 103 positioned on a floor surface within the enclosure. The seating unit 103 mentioned herein is constructed to provide stability, comfort, and long-term durability. The unit comprises a base frame, fabricated from high-strength steel or aluminum, securely anchored to the floor surface of the housing 101 to provide a rigid foundation. Mounted on the base frame is a seat platform, shaped with ergonomic contours to support the user’s thighs and hips.

[0031] The seat platform is layered with cushioning material, such as polyurethane foam, to distribute body weight evenly and reduce pressure points. Covering the cushioning is an outer upholstery layer made from non-toxic, washable, and wear-resistant material for hygiene and easy maintenance. The seating unit 103 further includes a backrest integrally attached to the seat platform, contoured to support the spine and promote upright posture. Optional armrests may be provided on either side, formed from the same structural material and cushioned for comfort.

[0032] The seating unit 103 is provided with a plurality of pressure sensors configured to detect user occupancy and body positioning, thereby enabling the system to initiate diagnostic processes only upon confirmed presence of the user. The pressure sensors used herein is a capacitive pressure sensor that works by measuring changes in capacitance. The sensor consists of two conductive plates separated by a small gap. When pressure is applied, the gap between these plates changes, altering the capacitance. The sensor detects this change and converts it into an electrical signal that relates to the amount of pressure. This signal is then sent to a microcontroller to be processed to give a precise pressure reading thereby enabling the system to initiate diagnostic processes only upon confirmed presence of the user.

[0033] The AI camera 104 integrated with an infrared (IR) sensor, mounted on a front wall of the housing 101, to perform facial recognition for user identification and authentication. The AI camera 104 mentioned herein incorporates a processor that is encrypted with an artificial intelligence protocol. The artificial intelligence protocol operates by following a set of predefined instructions to process data and perform tasks autonomously. Initially, data is collected and input into a database, which then employs protocol to analyze and interpret the captured images. The processor of the imaging unit via the artificial intelligence protocol processes the captured images and sent the signal to the microcontroller.

[0034] An infrared (IR) sensor mentioned herein operates by detecting infrared radiation emitted or reflected by objects within its field of view. Since all objects with a temperature above absolute zero emit IR radiation, the sensor converts this invisible radiation into electrical signals through a photodiode or thermopile element. The intensity and wavelength of the detected radiation correspond to the object’s heat signature and surface characteristics. In facial recognition applications, the IR sensor captures temperature contrasts and depth features of the user’s face under varying light conditions. The processed IR data is integrated with the AI camera 104 output to perform facial recognition for user identification and authentication.

[0035] The seating unit 103 is further associated with a motorized hinge joint configured for posture correction. The motorized hinge joint mentioned herein associated with the seating unit 103 operates to provide controlled angular adjustment for posture correction. The joint consists of two interlocking members, one fixed to the seating base and the other connected to the backrest, coupled around a rotational axis. A motor is operatively linked to the hinge through a transmission such as gears, belts, or direct coupling, which converts motor torque into rotational movement of the hinge. When activated, the motor drives the hinge to adjust the backrest angle in real time. This controlled motion ensures stable, smooth, and precise posture correction during diagnostic sessions.

[0036] Attached to a ceiling portion of the housing 101 is the hinged L-shaped extendable link 106 that supports the headband 105 positioned directly over the user’s head. The headband 105 mentioned herein is a lightweight, ergonomically designed component positioned directly over the user’s head for secure and comfortable placement during diagnostics. The headband 105 is fabricated from biocompatible, non-toxic materials with adjustable flexibility to fit different head sizes. The inner surface is padded with soft cushioning to minimize pressure and ensure prolonged wear comfort. The headband 105 securely houses the sensing module, maintaining stable electrode and sensor contact with the scalp for accurate physiological data acquisition.

[0037] The hinged L-shaped extendable link 106 mentioned herein is powered by a pneumatic unit that embodies an air compressor, air cylinder, air valves, and piston which work in collaboration to perform the extension and retraction of the link 106. The link 106 comprises a nested tube arrangement that contains multiple hollow tubes connected concentrically. The air cylinder is attached to the bottom of the nested tube arrangement and further consists of an air piston attached to the topmost part of the nested tube arrangement from the inside. The air cylinder is integrated with one inlet and one outlet valve that is connected to an air compressor. The air compressor draws air from the surroundings and compresses it to form pressurized air which enters the inlet valve and creates a force that pushes the piston in the forward direction. As the piston moves in the forward direction, it leads to the sequential opening of the concentrically connected tubes from the top toward the bottom. This leads to the extension of the link 106 and positioned directly over the user’s head.

[0038] The headband 105 is integrated with a sensing module configured to capture real-time physiological data. The sensing module includes an EEG (electroencephalogram) sensor to monitor brain activity, a PPG (photoplethysmogram) sensor to detect blood flow, and an IMU (inertial measurement unit) sensor to monitor user movement and orientation. These sensors collectively provide comprehensive physiological feedback to the microcontroller for cognitive and health analysis.

[0039] The EEG sensor works by detecting and recording the brain’s electrical activity through electrodes placed on the scalp. These electrodes sense tiny voltage fluctuations generated by ionic currents within neurons. The raw electrical signals, typically in the range of microvolts, are amplified and filtered to remove noise and artifacts. The sensor captures waveforms in different frequency bands such as alpha, beta, delta, and theta, each associated with specific cognitive or neurological states. The processed signals are transmitted to the microcontroller analyze brain activity patterns to assess mental workload, focus, relaxation, and overall cognitive function.

[0040] The PPG sensor functions by using a light source, typically an LED, and a photodetector to measure volumetric changes in blood circulation. The LED emits light onto the skin, and as blood pulses through underlying vessels, the amount of absorbed and reflected light changes. The photodetector captures these variations and converts them into electrical signals. By analyzing the periodic fluctuations in light intensity, the sensor calculates, blood oxygen saturation, and blood flow characteristics. The processed data is transmitted to the microcontroller, providing vital physiological information for real-time monitoring of overall health assessment.

[0041] The Inertial Measurement Unit (IMU) sensor mentioned herein functions by detecting and measuring motion-related parameters of a body in real time. The sensor typically integrates a triaxial accelerometer, a triaxial gyroscope, and optionally a magnetometer, to capture linear acceleration, angular velocity, and orientation with respect to Earth’s magnetic field. The accelerometer measures velocity changes along three axes, while the gyroscope detects rotational movement around these axes. The resulting motion data is transmitted to the microcontroller, where it is analyzed alongside other physiological inputs to assess user stability and activity patterns.

[0042] For an example, when a user undergoes a cognitive assessment, the EEG sensor integrated in the headband 105 records brainwave activity to detect focus or mental stress, while the PPG sensor simultaneously measures blood flow. At the same time, the IMU sensor tracks subtle head movements or posture shifts. The combined physiological data is transmitted to the microcontroller, enabling accurate real-time analysis of the user’s cognitive load and overall health status.

[0043] The quiz-based diagnostic module 107 is integrated within the housing 101 to perform multi-level cognitive assessments through interactive tests. The module comprises a display unit 107a mounted on the front wall of the housing 101, configured to present visual content and test prompts to the user. The display unit 107a functions as an interactive visual interface for presenting cognitive test prompts and multimedia content to the user. The unit typically comprises an LCD, LED, or OLED screen capable of rendering high-resolution images and dynamic sequences.

[0044] The unit receives digital signals from the microcontroller, which generates test patterns, instructions, or animations in real time. A backlight ensures visibility under varying ambient conditions, while a touch-sensitive overlay to detect user interactions if required. The display unit 107a synchronizes with other modules, allowing coordinated presentation of visual stimuli, ensuring accurate timing and data collection for cognitive assessment.

[0045] For an example, during a memory assessment, the display unit 107a present a sequence of colored shapes or numbers on the screen. The microcontroller controls the timing and order of the sequence, while the user observes and responds using the pressure-sensitive LED buttons 107b or touch interface. The display unit 107a ensures accurate visual presentation and synchronization with other modules, enabling the system to record response times and correctness, thereby evaluating the user’s short-term memory, attention, and cognitive processing capabilities.

[0046] Below the display unit 107a, a set of pressure-sensitive LED buttons 107b is arranged, wherein the buttons 107b are configured to illuminate in predetermined sequences and receive user responses during memory and reflex assessments. The pressure-sensitive LED buttons 107b function as an interactive input interface for the user during cognitive assessments. Each button consists of a capacitive or resistive pressure sensor integrated beneath an LED surface. When the user applies force to a button, the sensor detects the pressure and converts it into an electrical signal, which is transmitted to the microcontroller. Simultaneously, the LED illuminates to provide visual feedback, indicating that the input has been registered. The microcontroller interprets the sequence and timing of button presses to assess memory, reflex, and decision-making performance.

[0047] For example, during a reflex assessment, the system may illuminate a sequence of three LED buttons 107b in a specific order. The user is required to press the buttons 107b in the same sequence as quickly and accurately as possible. Each button press generates an electrical signal, which is transmitted to the microcontroller. The system measures response time and accuracy, allowing precise evaluation of the user’s memory, reflex speed, and decision-making performance.

[0048] In an embodiment of the present invention a daily routine assessment unit configured to prompt the user with familiar questions to establish a cognitive baseline, a visual memory unit adapted to display a group of objects followed by a delayed recall question to evaluate short-term memory retention and a story recall unit configured to display and narrate a short story, followed by memory-based questions to assess comprehension and retention.

[0049] The daily routine assessment unit mentioned herein presents the user with structured, familiar questions relating to everyday activities, enabling the system to establish a baseline of cognitive performance and detect deviations or decline over time. The visual memory unit displays a sequence or group of objects for a fixed duration, followed by delayed recall questions, measuring short-term memory retention, attention, and pattern recognition. These modules collectively allow comprehensive assessment of memory encoding, retention, and retrieval capabilities, providing accurate, quantifiable cognitive performance metrics.

[0050] For an example, during a cognitive session, the daily routine assessment unit may ask the user to describe their morning activities, such as brushing teeth or preparing breakfast, to evaluate baseline memory. The visual memory unit might display five colored shapes for ten seconds, then ask the user to recall their order. a story recall unit could narrate a short story about a grocery trip, followed by questions about the sequence of events, enabling precise measurement of memory retention and comprehension.

[0051] In an embodiment of the present invention, the system incorporates a centralized database designed to store and manage multiple types of data generated during cognitive assessments. The database maintains user profile data, including personal information, medical history, and demographic details. The database also records physiological data captured from sensors, such as EEG signals, and motion or orientation data from the IMU. Additionally, the database stores cognitive performance data, including quiz responses, reaction times, pattern recognition scores, and reflex test results.

[0052] Additionally, the voice recognition module 111 is integrated with the housing 101 to process spoken responses of the user during quiz sessions, thereby enabling multimodal input for enhanced assessment accuracy. When the user speaks to give voice commands to voice recognition module 111, the module first captures the sound waves from the voice. These sound waves hit the diaphragm which vibrates back and forth in response to sound waves. This movement is then transferred to a capacitor connected to the microphone that converts the vibrations into an electrical signal that mirrors the pattern of the sound waves.

[0053] The quick reflex response module 108 is provided in the housing 101 for evaluating the user’s reaction time based on dynamic object-interaction testing. The module comprises a horizontally oriented C-shaped framework 108a mounted on an elongated member 108b disposed at a lateral section of the housing 101, the framework 108a being provided with a plurality of poles 108d suspended via primary electromagnets 108c.

[0054] The C-shaped framework 108a mentioned herein is a rigid structural component mounted on an elongated lateral member 108b within the housing 101. The framework 108a provides support and alignment for the suspended poles 108d, maintaining precise spacing and orientation. The open geometry of the C-shape allows unobstructed movement of the poles 108d during reflex testing, enabling the user to interact with them from various angles. The framework 108a is fabricated from durable materials, such as aluminum or reinforced polymer, ensuring stability and minimal vibration. The design ensures that the poles 108d remain correctly positioned relative to the user and other module components for consistent, repeatable testing conditions.

[0055] The elongated member 108b serves as a mounting rail for the C-shaped framework 108a and positions it at a fixed lateral distance from the user. The member 108b is fabricated from high-strength material to provide rigidity and prevent deflection during pole movement. The member 108b is securely anchored to the housing 101 structure and ensures alignment with the user’s reach. The member 108b include adjustment slots or sliding mounts to fine-tune the height and lateral positioning of the framework 108a for different users. The elongated member 108b transmits mechanical loads from the framework 108a to the housing 101, maintaining stability while allowing dynamic operation of the reflex module.

[0056] The poles 108d are individual rods suspended from the C-shaped framework 108a using primary electromagnets 108c, which hold the poles 108d in a ready position before release. The electromagnets are controlled by the microcontroller to release poles 108d at precise intervals or sequences during testing. When energized, the magnets securely suspend the poles 108d; when de-energized, the poles 108d fall under gravity, creating a dynamic stimulus for reflex evaluation. Each pole is lightweight and uniform in size to ensure consistent motion. The microcontroller tracks the release timing, enabling accurate measurement of user reaction time and reflex performance during the test.

[0057] The perpendicular plate 108e integrated within the front wall of the housing 101 is mounted on an extendable rod 108f, the plate 108e is equipped with secondary electromagnets configured to capture the falling poles 108d during reflex assessment. The secondary electromagnets mentioned herein works similar as discussed above working of primary electromagnet.

[0058] The perpendicular plate 108e mentioned herein serves as a means to catch the falling poles 108d with during reflex testing. The plate 108e is fabricated from a rigid, lightweight material to ensure stability while allowing precise capture of pole 108d. The extendable rod 108f mentioned herein works by pneumatic unit that works similar as discussed above. The user’s ability to respond quickly to the dynamic falling objects is measured and analyzed by the microcontroller to determine reflex performance.

[0059] The tile- matching module 109 is further integrated within the housing 101 to assess visual memory and pattern recognition abilities. The module 109 comprises a vertical motorized slider 109a housed in a ceiling portion of the housing 101, the slider 109a supporting a rectangular unit 109b provided with a plurality of movable, square-shaped LED panels 109c. The slider 109a mentioned herein comprises a guided rail or track along which a motor-driven carriage moves, powered by a stepper or DC motor. The motor is controlled by the microcontroller, which determines the speed, direction, and position of the slider 109a based on the test sequence. The carriage is connected to the LED panel unit through a secure mounting bracket, ensuring stability during movement.

[0060] The LED panels 109c are configured to display sequence-based puzzles and patterns. Upon activation, the microcontroller extends the slider 109a downward to position the LED panels 109c in front of the user, thereby allowing the user to replicate displayed sequences. This interaction enables the evaluation of the user’s memory retention and pattern recognition efficiency.

[0061] The LED panels 109c function as an interactive visual display for presenting sequence-based puzzles and patterns to the user. Each panel comprises an array of individually addressable light-emitting diodes capable of producing distinct colors or illumination states. The panels 109c receive digital control signals from the microcontroller, which specifies which LEDs to illuminate, in what sequence, and for how long. The rapid switching and precise control of each LED enable dynamic presentation of patterns, sequences, or puzzles. The panels 109c’ visual output is synchronized with user input, allowing real-time tracking of responses. This setup facilitates accurate assessment of visual memory, attention, and pattern recognition skills.

[0062] To ensure user safety, the system further comprises a motorized four-bar linkage 110 mounted on lateral sides of the housing 101. The linkage 110 is provided with pincers at its distal ends, configured to deploy automatically upon detection of a fall. The motorized four-bar linkage 110 is a mechanical assembly designed to provide controlled motion and deploy the pincers for user support during a fall. It consists of four rigid bars connected via pivot joints to form a movable quadrilateral, with one bar fixed to the housing 101. A motor, typically coupled to one of the links through gears or a belt, drives the linkage 110 to extend or retract in a coordinated motion. The fall detection is facilitated through data received from the IMU sensor and the AI camera 104, the pincers are actuated to stabilize and support the user during a fall, thus preventing injury.

[0063] All modules and sensing components are operatively connected to the centralized microcontroller configured to process data received from the AI camera 104, the sensing module, and the interactive assessment units. The microcontroller dynamically adjusts operational parameters of the system including the positioning of the headband 105, presentation of quiz content, tile-matching sequences, and reflex assessment modules based on real-time user behavior and physiological feedback. The microcontroller further employs machine learning protocols to adapt quiz difficulty in real-time based on the user’s cognitive performance, thereby ensuring personalized and adaptive progressive diagnostics.

[0064] The microcontroller further activates an inbuilt communication module for
establishing a wireless connection between the microcontroller and a remote computing unit that is inbuilt with a user-interface and accessed by the user for enabling the user to create of user profiles that include personal information and medical history, and further provides real-time dashboards accessible to healthcare providers and caregivers for continuous monitoring of cognitive health. The user interacts with the interface through a touch screen, keyboard, or other input methods available on the computing unit. The computing unit mentioned herein includes, but not limited to smartphone, laptop, tablet.

[0065] The communication module mentioned herein includes, but not limited to Wi-Fi (Wireless Fidelity) module, Bluetooth module, GSM (Global System for Mobile Communication) module. The communication module used in the system is preferably the Wi-Fi module. The Wi-Fi module enables wireless communication by transmitting and receiving data over radio frequencies using IEEE 802.11 protocols. It connects to a network via an access point, converting digital data into radio signals. The module processes TCP/IP protocols for data
exchange, interfaces with microcontrollers through UART/SPI, and ensures
encrypted communication using WPA/WPA2 security standards for secure and
efficient wireless connectivity.

[0066] For an example, when the user completes a cognitive assessment, the microcontroller transmits the test results, physiological data, and response metrics via the Wi-Fi module to a connected tablet. The module converts the digital data into radio signals, communicates with the network access point, and ensures secure transmission using WPA2 encryption. The computing unit receives and processes the data, updating the user’s profile and real-time dashboard, allowing healthcare providers to monitor performance, detect anomalies, and provide timely interventions remotely.

[0067] The present invention works best in the following manner, where system is enclosed within the housing 101 configured to accommodate the user, providing a stable and controlled environment. The seating unit 103 is positioned on the floor surface of the housing 101, providing ergonomic support and maintaining proper posture, while the motorized hinge joint associated with the seating unit 103 adjusts the backrest based on feedback from the AI camera 104 and IMU sensor. The AI camera 104 integrated with IR sensor performs facial recognition for user identification and authentication, while the headband 105 attached to a hinged L-shaped extendable link 106 captures real-time physiological data via the sensing module comprising EEG, PPG, and IMU sensors. During assessment, the quiz-based diagnostic module 107 presents multi-level cognitive tests through the display unit 107a, synchronized with pressure-sensitive LED buttons 107b and voice recognition module 111 to record user responses. The quick reflex response module 108 evaluates reaction time by dynamically releasing poles 108d from the C-shaped framework 108a toward the perpendicular plate 108e equipped with secondary electromagnets, capturing user interactions. Simultaneously, the tile- matching module 109 presents sequence-based visual patterns using the vertical motorized slider 109a and movable LED panels 109c, assessing visual memory and pattern recognition. All data from imaging unit, sensing module, and interactive modules are transmitted to the centralized microcontroller, which processes physiological, behavioral, and performance metrics. The microcontroller dynamically adjusts quiz difficulty and module parameters in real time using machine learning protocols. The system interfaces with the remote computing unit for user profile management and real-time monitoring by healthcare providers. In case of fall events, the motorized four-bar linkage 110 deploys pincers to stabilize the user, ensuring safety. Collectively, the components operate in coordinated manner to provide accurate, adaptive, and safe cognitive health assessment.

[0068] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A cognitive health diagnostics system, comprising:
i) a housing 101 configured to accommodate a user, the housing 101 comprising a hinged door 102 operable to facilitate controlled entry and exit of the user;

ii) a seating unit 103 positioned on a floor surface within the housing 101, the seating unit 103 equipped with a plurality of pressure sensors configured to detect user occupancy;

iii) an artificial intelligence (AI) camera 104 integrated with an infrared (IR) sensor, mounted on a front wall of the housing 101, to perform facial recognition for user identification and authentication;

iv) a headband 105 attached to a hinged L-shaped extendable link 106 mounted on a ceiling of the housing 101, the headband 105 being positioned over the user's head and integrated with a sensing module to capture real-time physiological data;

v) a quiz-based diagnostic module 107 employed in the housing 101, configured to perform multi-level cognitive assessments through interactive tests;

vi) a quick reflex response module 108 integrated into the housing 101 to evaluate user reaction time based on dynamic object-interaction testing;

vii) a tile- matching module 109 integrated inside the housing 101 to assess visual memory and pattern recognition ability of the user; and

viii) a centralized microcontroller configured to process data from the imaging unit, sensing module, and to dynamically adjust operational parameters of various modules including the diagnostic module 107, headband 105 positioning, response module 108, and display elements based on real-time user behavior and physiological feedback.

2) The system as claimed in claim 1, wherein the microcontroller interfaces with a remote computing unit featuring a user-friendly interface allowing creation of user profiles including personal information and medical history, and providing real-time dashboards accessible to healthcare providers and caregivers for continuous monitoring of cognitive health and immediate alert notifications in case of unusual activities.

3) The system as claimed in claim 1, wherein the sensing module includes an EEG (electroencephalogram) sensor, a PPG (photoplethysmogram) sensor, and an IMU (inertial measurement unit) sensor.

4) The system as claimed in claim 1, wherein the quiz-based diagnostic module 107 includes:
a) a display unit 107a mounted on a front wall of the housing 101, configured to present visual content and cognitive test prompts to the user, and
b) a set of pressure-sensitive LED (light emitting diode) buttons 107b arranged below the display unit 107a, configured to illuminate in predetermined sequences and receive user inputs during memory and reflex assessments.

5) The system as claimed in claim 1, wherein the quick reflex response module 108 comprises:
a) a horizontally oriented C-shaped framework 108a mounted on an elongated member 108b disposed at a lateral section of the housing 101, the framework 108a comprising a plurality of poles 108d suspended via primary electromagnets 108c, and
b) a perpendicular plate 108e housed within a front wall of the housing 101 and mounted on an extendable rod 108f, the plate 108e integrated with secondary electromagnets configured to capture the falling poles 108d during the reflex test.

6) The system as claimed in claim 1, wherein the tile- matching module 109 includes:
a) a vertical motorized slider 109a housed within a ceiling portion of the housing 101,
b) a rectangular unit 109b mounted on the slider 109a, the unit comprising a plurality of movable, square-shaped LED (light emitting diode) panels 109c configured to display pattern-based puzzles, and
c) the microcontroller configures to extend the slider 109a downward upon activation to position the LED panel in front of the user, and present a sequence of patterns or tile arrangements for the user to replicate, thereby assessing pattern recognition and cognitive recall.

7) The system as claimed in claim 1, wherein a voice recognition module 111 is integrated with the housing 101 for receiving and processing spoken responses of the user during quiz sessions.

8) The system as claimed in claim 1, wherein a motorized four-bar linkage 110 mounted on sides of the housing 101 with pincers at distal ends, configured to detect falls via the IMU sensor and AI camera 104, and deploy the pincers to stabilize and support the user during a fall.

9) The system as claimed in claim 1, wherein a motorized hinge joint is associated with the seating unit 103 for posture correction, the AI camera 104 and IMU sensor monitor and analyze the user’s posture and actuate the hinge joint to maintain correct posture throughout the diagnostic session.

10) The system as claimed in claim 1, wherein the microcontroller dynamically adjusts quiz difficulty in real-time using machine learning protocols based on the user’s performance and cognitive responses.