Device and system for measurement of health metrics

Abstract

This disclosure relates to device and system for health metrics measurement. The device includes a base element configured to support a user in standing position. The base element includes a weight measurement element. The device further includes a profiled post mounted on the base element. The profiled post includes: a measurement section. The measurement section includes a first section. The measurement section further includes a second section coupled to the first section. The measurement section further includes a magnetic sensor configured to detect variations in a magnetic field caused by an extension and a retraction of the first section The device further includes a level adjustment element attached to the second section. The device further includes a display panel configured to display health metrics of the user. The device further includes a communication unit for transmitting the health metrics to a client device via a communication network.

Description

DEVICE AND SYSTEM FOR MEASUREMENT OF HEALTH METRICSTECHNICAL FIELD

[0001] The present disclosure generally relates to health metrics measurement devices More particularly, the present disclosure relates to a device and system for health metrics measurement.BACKGROUND

[0002] The following discussion of the background to the invention is intended to facilitate an understanding of the present invention. However, it should be appreciated that the discussion is not an acknowledgment or admission that any of the material referred to was published, known or part of the common general knowledge in any jurisdiction as at the priority date of the application.

[0003] Current stadiometers face several challenges, particularly those utilizing ultrasonic or laser range-finding technologies. Modern stadiometers, especially those incorporating advanced technologies like ultrasonic or laser range finding, often come with a substantial price tag. The initial investment required for purchasing and maintaining such equipment can pose a significant barrier for healthcare facilities, clinics, schools, and even homes. Moreover, ultrasonic and laser stadiometers demand precise calibration to ensure accurate height measurements, necessitating regular maintenance and specialized operator training.

[0004] Ultrasonic and laser-based stadiometers are also highly sensitive to environmental factors, such as temperature and reflective surfaces, leading to inconsistent measurements. Furthermore, ultrasonic and laser-based devices typically require a clear line of sight between the device and the user, further limiting their usability. The bulky nature of these devices reduces portability, making transportation between different locations, such as schools, community health camps, or homes, cumbersome. Neglecting these aspects can lead to measurement errors, affecting patient care and research data. Regular maintenance is essential to keep them functioning optimally. Operating ultrasonic or laser stadiometers involves complex procedures, necessitating specialized training for healthcare professionals and technicians. The learning curve can be steep,potentially resulting in errors if incorrectly handled. While laser-based stadiometers emit focused beams of light for distance measurement, safety precautions are critical to prevent accidental harm to the eyes or skin. Additionally, some patients may feel uncomfortable standing near laser or ultrasonic devices, especially children, the elderly, or individuals with mobility challenges.

[0005] Conventional stadiometers generally provide basic height measurements without addressing the growing demand for health metrics measurement devices that integrate with digital ecosystems. With the widespread adoption of smartphones and cloud-based technologies, the demand for health metrics measurement devices that provide accurate and reliable readings while integrating with mobile platforms is increasing. Mobile platform integration facilitates seamless user access to real-time statistics, analytics, and growth tracking, enhancing the functionality of health metrics measurement devices.

[0006] Therefore, the present invention attempts to overcome at least in part some of the aforementioned problems and to provide for an improved approach for addressing the foregoing challenges.SUMMARY

[0007] In one embodiment, a health metrics measurement device is disclosed. The device includes a base element configured to support a user in a standing position. The base element includes a weight measurement element for determining a weight of the user standing on the base element. The device further includes a profiled post mounted perpendicularly on the base element. The profiled post includes: a measurement section. The measurement section includes a first section being vertically extendable and retractable from an end portion of the profiled post, the first section is configured to provide height measurements of the user. The measurement section further includes a second section coupled to the first section, the second section is extendable up to a predefined length and used when if user is taller than the first section. The measurement section further includes a magnetic sensor configured to detect variations in a magnetic field caused by at least one of an extension and a retraction of the first section. The device further includes a level adjustment element attached to the second section and configured to be placed on a head of the user to ensure accurate height measurement of the user. The device further includes a display panel configured to display one or more health metrics comprising at least a height, and the weight ofthe user. The device further includes a communication unit for transmitting the one or more health metrics to a client device via a communication network.

[0008] In some embodiments, the predefined length is 70 cm from the first section.

[0009] In some embodiments, the level adj ustment element is rotatable about a central axis of the second section and foldable downwards.

[0010] In some embodiments, the first section includes a magnet arrangement comprising a plurality of permanent magnets, arranged longitudinally with alternating north and south poles.[ 00111 In some embodiments, the magnetic sensor comprises a housing assembly positioned within an aperture of the profiled post, and the housing assembly comprises a first cover and a second cover detachably removable from the first cover.

[0012] In some embodiments, the housing assembly further comprises a third cover attached to the second cover to form a housing for the magnetic sensor, with a plurality of springs positioned at each corner to maintain proximity between the magnetic sensor and the permanent magnets.

[0013] In some embodiments, the display panel further comprises an input interface that allows the user to access additional functions of the device, comprising Body Mass Index (BMI) calculation, health reports, and system settings.

[0014] In some embodiments, the display panel is configured to provide alerts regarding a status of a power source comprising indications of low or drained power.|0015| In another embodiment, a system for measuring health metrics of a user is disclosed. The system includes a health metrics measurement device and a client device. The health metrics measurement device includes a base element configured to support a user in a standing position. The base element includes a weight measurement element for determining a weight of the user standing on the base element. The health metrics measurement device further includes a profiled post mounted perpendicularly on the base element. The profiled post includes: a measurement section. The measurement section includes a first section being vertically extendable and retractable from an end portion of the profiled post, the first section is configured to provide heightmeasurements of the user. The measurement section further includes a second section coupled to the first section, the second section is extendable up to a predefined length and used when if user is taller than the first section. The measurement section further includes a magnetic sensor configured to detect variations in a magnetic field caused by at least one of an extension and a retraction of the first section. The health metrics measurement device further includes a level adjustment element attached to the second section and configured to be placed on a head of the user to ensure accurate height measurement of the user. The health metrics measurement device further includes a display panel configured to display one or more health metrics comprising at least a height, and the weight of the user. The health metrics measurement device further includes a communication unit for transmitting the one or more health metrics to a client device via a communication network. The client device is configured to receive the transmitted one or more health metrics from the health metrics measurement device.

[0016] In some embodiments, the client device further includes an application platform for remotely accessing the one or more health metrics received from the health metrics measurement device.

[0017] In some embodiments, the client device is connected to a server, and wherein the server is configured to store the health metrics of the user and provide analytics, trend analysis, and recommendations based on the health metrics of the user.

[0018] In some embodiments, the client device is configured to provide real-time notifications to the user based on preset thresholds of a height, a weight, and / or a Body Mass Index (BMI), and alert the user to significant changes in the one or more health metrics.

[0019] In some embodiments, the client device further includes a processor for analysing the one or more health metrics, a display for presenting the analysed one or more health metrics to the user, and a memory unit for storing the one or more health metrics.

[0020] Tn some embodiments, the memory unit of the client device is further configured to store a profile for each user comprising personal health data, measurement history, and preferences of the each user.

[0021] In some embodiments, the client device is configured to generate periodic health reports based on historical health metrics of the user, and transmit the periodic health reports to at least one of a healthcare provider or a fitness professional.

[0022] In some embodiments, the application platform includes a user interface configured to allow a plurality of user profiles to be created, each representing a user.|0023| In some embodiments, each user profile of the plurality of user profiles comprises a corresponding a customizable avatar, wherein the customizable avatar updates periodically to reflect health metrics of the each user over time, with options for personalizing the customizable avatar with a plurality of hairstyles, accessories, and / or clothes.

[0024] In some embodiments, the application platform includes a food and activity tracker for monitoring the growth patterns of the user, with an ability to synchronize data from external wearables.

[0025] In some embodiments, the application platform includes a chatbot-based troubleshooting interface that provides users with automated responses to common issues and queries related to the system.|0026| In some embodiments, the application platform generates personalized growth recommendations based on global health data and provides actionable insights to the user.

[0027] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using blockdiagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components, electronic components or circuitry commonly used to implement such components.

[0029] FIG. 1 illustrates a perspective view of a device for health metrics measurement, in accordance with some embodiments;10030| FIG. 2 shows a partial perspective view of a first section and a second section of the device, in accordance with some embodiments;

[0031] FIG. 3 shows another partial perspective view of the first section and the second section of the device, in accordance with some embodiments;

[0032] FIG. 4 shows a close-up partial perspective view of a magnetic sensor, in accordance with some embodiments;

[0033] FIG. 5 shows a close-up partial perspective view of a display panel of the device, in accordance with some embodiments,

[0034] FIG. 6 illustrates an environment of a system for measuring health metrics of a user, in accordance with some embodiments;

[0035] FIG. 7 illustrates a high-level overview of an access management application installed in a client device for providing health metrics to the user, in accordance with some embodiments;

[0036] FIG. 8A illustrates an exemplary user interface for enabling user to login and signup, in accordance with some embodiments;

[0037] FIG. 8B illustrates a continuation of the exemplary user interface of FIG. 8A for enabling user to login and signup, in accordance with some embodiments;

[0038] FIG. 8C illustrates an exemplary user interface for enabling the user to account set up and scale set up, in accordance with some embodiments;

[0039] FIG. 8D illustrates an exemplary user interface for enabling the user to scale set up, in accordance with some embodiments,

[0040] FIG. 8E illustrates an exemplary user interface for enabling the user to add, edit and delete multiple profiles, in accordance with some embodiments;

[0041] FIG. 9A illustrates an exemplary user interface for enabling the user to navigate multiple profiles and measurement history, in accordance with some embodiments;

[0042] FIG. 9B illustrates an exemplary user interface depicting different profile views for a male user and a female user, in accordance with some embodiments;

[0043] FIG. 9C illustrates an exemplary user interface for enabling the user to view profiles data, in accordance with some embodiments;

[0044] FIGS. 9D - 9E illustrates an exemplary user interface for enabling the user to add a profile via a Quick-Response (QR) code, in accordance with some embodiments;

[0045] FIG. 9F illustrates an exemplary user interface for enabling the user to measure health metrics, in accordance with some embodiments;

[0046] FIG. 9G illustrates an exemplary user interface for enabling the user to change different settings of the access management application, in accordance with some embodiments;

[0047] FIG. 10 is a chart of the stature and weight-for-age percentiles of boys, in accordance with some embodiments;

[0048] FIG. 11 is a chart of the stature and weight-for-age percentiles of girls, in accordance with some embodiments;

[0049] FIG. 12 is a chart of the Body Mass Index-for-age percentiles of girls, in accordance with some embodiments; and

[0050] FIG. 13 is a chart of the Body Mass Index-for-age percentiles of boys, in accordance with some embodiments.DETAILED DESCRIPTION

[0001] Exemplary Reference will now be made in detail to an exemplary embodiment of the present invention, examples of which are illustrated in the accompanying drawings. While the invention will be described in conjunction with the embodiment, it will be understood that they are not intended to limit the invention to these embodiments. On the contrary, the invention is intended to cover alternatives, modifications, and equivalents, which may be included within the spirit and scope of the invention as defined by the appended description. Furthermore, in the following detailed description of embodiments of the present invention, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be recognized by one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, components, and circuits have not been described in detail as not to unnecessarily obscure aspects of the embodiments of the present invention.10002| In the specification the term “comprising” shall be understood to have a broad meaning similar to the term “including” and will be understood to imply the inclusion of a stated integer or step or group of integers or steps but not the exclusion of any other integer or step or group of integers or steps. This definition also applies to variations on the term “comprising” such as “comprise” and “comprises”.

[0003] In the specification, the term “engage” and its variants including “engagement”, “engages”, “engaging” and “engaged” as used herein are to be interpreted to include engagement by touching, .rubbing or abutting including engagement in one or more of an axial, radial, tangential and circumferential direction, and includes engagement through an intermediary such as a component positioned or sandwiched between the e.g. counter face and head of the blind- sided fastener.

[0004] Throughout the specification and claims, the following terms take the meanings explicitly associated herein, unless the context clearly dictates otherwise. The phrase “in one embodiment” as used herein does not necessarily refer to the same embodiment, though it may. Furthermore, the phrase “in another embodiment” as used herein does not necessarily refer to adifferent embodiment, although it may. Thus, as described below, various embodiments of the invention may be readily combined, without departing from the scope or spirit of the invention.

[0005] Certain terminology used in the description is for convenience in reference only and shall not be limiting. For example, up, down, front, back, right, and left refer to the disclosed subject matter as orientated in the view being referred to. The words, “inwardly” and “outwardly” refer to directions toward and away from, respectively, the geometric center of the aspect being described and designated parts thereof. The terminology will include the words specifically mentioned, derivatives thereof, and words of similar meaning. Like references, numbers denote features, components, or elements throughout the various embodiments.

[0006] In addition, as used herein, the term “or” is an inclusive “or” operator, and is equivalent to the term “and / or,” unless the context clearly dictates otherwise. The term “based on” is not exclusive and allows for being based on additional factors not described, unless the context clearly dictates otherwise. In addition, throughout the specification, the meaning of “a, ”an,” and “the” include plural references. The meaning of “in” includes “in” and “on.”

[0007] Features that are described in the context of an embodiment may correspondingly be applicable to the same or similar features in the other embodiments Features that are described in the context of an embodiment may correspondingly be applicable to the other embodiments, even if not explicitly described in these other embodiments. Furthermore, additions and / or combinations and / or alternatives as described for a feature in the context of an embodiment may correspondingly be applicable to the same or similar feature in the other embodiments.

[0008] In the context of various embodiments, the articles “a”, “an” and “the” as used with regard to a feature or element include a reference to one or more of the features or elements.10009| To achieve the stated features, advantages and objects, the present invention is directed to a device and a system for health metrics measurement.

[0010] The present invention aims to address some of the aforementioned problems and challenges associated with current stadiometers and provides a cost-effective, safe and reliable solution for height measurement devices. Most existing devices do not provide features such asweight measurement, Body Mass Index (BMI) calculation, or growth tracking. Lack of integration with mobile or cloud-based platforms limits the ability of existing devices to perform real-time analytics, trend analysis, or deliver personalized recommendations, which are essential for proactive health monitoring. Particularly, the present invention offers the following advantages over current stadiometers:

[0011] Safety and Comfort: the present invention does not emit harmful radiation like lasers or ultrasonic waves; users, especially children and older people will feel more comfortable standing near the present invention which has no exposure to laser or to ultrasonic waves.

[0012] Cost-Effectiveness: The present invention is more cost-effective than their ultrasonic or laser counterparts; the reduced costs make them accessible to a wider range of healthcare facilities and clinics.

[0013] Simplicity and Reliability: The present invention provides a straightforward mechanism for height measurement. Unlike ultrasonic or laser stadiometers, no complex calibration is needed, and measurements are accurate and reliable.10014| Environmental Independence: The present invention is less sensitive to environmental factors such as temperature and reflective surfaces, leading to more consistent results that can affect ultrasonic and laser measurements

[0015] No Line-of-Sight Requirement: Ultrasonic and laser stadiometers require a clear line of sight between the device and the patient. The present invention works even when obstacles partially block the view.

[0016] Portability: The present invention is compact and portable and can be easily moved between different locations, making them suitable for homes, community health camps or mobile clinics.

[0017] Smart Digital Platform: The present invention provides a system, through a simplified user interface provided on a mobile device application, for compiling and tracking height, weight and other health statistics derived from height and weight. The system also provides recommendations to the user based on the results.

[0018] Avatar-Based Profile Representation: The access management application supports multiple user profiles, each represented by customizable avatars. These avatars visually reflect a user's health metrics and trends over time, offering an engaging and intuitive way to monitor growth patterns.

[0019] Advanced Tracking Features: The access management application enables detailed tracking of health metrics over time, providing insights into trends and changes. Historical data is presented in graphical formats, allowing users to analyze progress and identify areas for improvement.

[0020] Chatbot Assistance: The access management application includes a chatbot-based troubleshooting interface that provides automated responses to common queries and issues. The chatbot enhances user convenience by offering step-by-step guidance and recommendations without requiring external support.

[0021] Integration with Wearables and External Devices: The application allows synchronization with external wearable devices and health monitoring tools, enabling users to consolidate data from multiple sources for a comprehensive health analysis.

[0022] Personalized Recommendations: The system generates growth recommendations and actionable insights by combining user-specific data with global health standards, ensuring tailored guidance for each user.

[0023] Hereinafter, various embodiments of the present disclosure will be described with reference to the accompanying drawings.

[0024] FIG. 1 illustrates a perspective view of a device for measuring health metrics, in accordance with some embodiments. The device 100 is capable of measuring various health matrices, for example, but is not limited to, a height of a user, a weight of the user, and a Body Mass Index (BMI) of the user. In order to measure these health metrics, the device 100 includes a base element 20 configured to support a user in a standing position. The base element 20 includes a weight measurement element (not shown) for reading or determining the weight of the user upon standing on the base element 20.

[0025] The device 100 further includes a profiled post 30 mounted on the base element 20. The profiled post 30 is mounted perpendicularly on a section of the base element, providing space for the user to stand on. The profiled post 30 includes a measurement section, that includes a first section 50 and a second section 60. The first section 50 is configured to provide height measurements of the user. The second section 60 is coupled to the first section 50. The second section 60 is extendable up to a predefined length and used when the user is taller than the first section 50.

[0026] The profiled post 30 includes an aperture extending along the length of the profiled post 30 from which the first section 50 is retracted into. The first section 50 is vertically extendable and retractable from an end portion of the profiled post 30. According to various embodiments, the first section 50 is an adjustable arm. The first section 50 is configured to retract into the profiled post 30 so that the device is compact and portable. The first section 50 is also configured to extend up to a position when in use. The end portion of the profiled post 30 includes a display panel 40 that includes a display for a user to access the readings, and an input device for a user to access additional functions, details of which will be provided later.

[0027] In some embodiments, the first section 50 includes a second section 60 that is configured to retract into the first section 50 and extend away from the first section 50. In various embodiments, the second section 60 can be extended up to 70 cm from the top of the first section 50. The second section includes a leveler 70 at its end point for use by a person when standing on the base element. In various embodiments, the leveler 70 is rotatable about a central axis of the second section 60. In various embodiments, the leveler 70 is foldable downwards towards the second section to make the device more compact and portable. When in use and at an initial position, the first section 50 is retracted completely into the profiled post 30 and the second section 60 is retracted completely into the first section 50. A user who wishes to measure his or her height is required to stand on the base element 20 and adjust the first section 50 by extending the first section 50 away from the profiled post 30. When the first section 50 reaches the height of the user, the user rotates the leveler 70 and places it on the user’s head to ensure accuracy in the height reading. The display panel will instantly provide a height reading once the first section stops moving in its final position. For a user that is taller than the height of the first section 50, the user will first extend the first section 50 to its fully extended position, and then extend the secondsection 60 to the user’s height. The user rotates the leveler 70 and places it on the user’s head to ensure accuracy in the height reading. The display panel will instantly provide a height reading once the first section 50 stops moving in its final position. For example, if the second section 60 is fully extended, the height reading may add 63 cm to the reading obtained from the first section 50. In various embodiments, the height measurement range spans from 74 cm to 138 cm when the second section 60 is retracted into the first section 50, and from 137 cm to 200 cm when the second section 60 is fully extended.

[0028] FIG 2 shows a partial perspective view of the first section and the second section of the device 100. The first section 50 includes a magnet arrangement 52 housed within the first section 50. The magnet arrangement 52 extends along the length of the first section 50 and includes a plurality of permanent magnets. In some embodiments, the magnet arrangement 52 is a magnetic strip. In some embodiments, the plurality of permanent magnets within the magnetic strip is made from materials such as, but not limited to, neodymium, ferrite, or alnico. These materials are chosen for their high coercivity and ability to retain a stable magnetic field over time.

[0029] The plurality of permanent magnets includes magnet segments alternating longitudinally between a north pole and a south pole along the length of the first section, creating a periodic magnetic field pattern. The alternating arrangement enables precise positional tracking of the first section 50, as a magnetic sensor detects changes in the magnetic field strength and direction. In some embodiments, each magnet segment measures approximately 1.0 mm or 5.0 mm in length. The compact size of the magnet segments enables the magnet arrangement 52 to maintain a high density of magnetic poles per unit length, thereby improving the resolution of positional readings. The magnetic strip is securely housed within the first section 50, protected from environmental factors such as dust and moisture by an external casing. For the purposes of illustration, the magnet segments are made visible in FIG. 2 even though it is covered by a housing in practice.

[0030] FIG. 3 shows another partial perspective view of the first section and the second section of the device 100, in accordance with some embodiments. FIG. 4 shows a close-up partial perspective view of a magnetic sensor. With reference to the aforesaid figures (e.g., FIG. 3 and FIG. 4), a housing assembly 38 is positioned within the aperture of the profile post 30. The housingassembly 38 is located at the end portion of the profiled post 30 and includes a first cover 31 and a second cover 32 detachably removable from the first cover 31, and a central opening 35 extending through the first cover 31 and the second cover 32. The central opening 35 is configured to receive the first section 50 through the central opening 35.

[0031] With reference to FIG. 4, the first cover 32 includes a third cover 37 attached to the first cover 32 on one side to form a housing for a magnetic sensor 36. The magnetic sensor 36 is arranged to detect changes in or variations in magnetic field strength of the plurality of permanent magnets within the first section caused by the extension and retraction of the first section 50 as it extends away and into the profiled post 30. The magnetic sensor 36 detects changes or variations in magnetic field strength as the first section is extended and is converted into an output signal received and configured for translation by a processor within the display 40 into a height reading. In some embodiments, the output signal comprises an electrical signal, for example, electric current or electric voltage detectable by the magnetic sensor. In some embodiments, the output signal undergoes signal processing for translation into an accurate and reliable height reading. Within the third cover 37, a plurality of springs 33 positioned at each corner of the third cover 37 ensures that the magnetic sensor 36 maintains proximity to the plurality of permanent magnets within the first section 50. Additionally, the plurality of springs 33 facilitates the stopping of the first section 50 as it is extended and retracted from the profiled post.

[0032] FIG. 5 shows a close-up partial perspective view of a display panel of the device 100. The display panel includes an input interface 45 for facilitating interaction of a user with the device. The input interface 45 may be a physical or a digital device. The input interface 45 includes indicators represented by one or more digital or physical buttons for a user to depress. For example, the input interface 45 may include one or more dials, buttons, keypads, touch screens, touch- sensitive areas, etc. The input interface 45 may additionally be configured to provide information to the user (e.g., through selectively illuminating one or more lights, through the display, etc.). In some embodiments, the indicators represent the functions provided by the device, for example, height, weight, BMI, network connection, etc.. In one embodiment, the display panel also has a display, and a power interface for connecting to a power source. The power source includes, but is not limited to, a rechargeable battery, a battery, a power supply main, or other suitable power sources. The display indicates to the user the readings obtained, for example, the height and weightreadings, and BMI readings. The display also shows the status of the power source, such as low power or drain. This helps the user know how much power source is left and to change it when needed.

[0033] FIG. 6 illustrates an environment of a system for measuring health metrics of the user, in accordance with some embodiments. The system 200 includes hardware and software components capable of implementing the examples of the system disclosed. The system 200 may include various systems and subsystems. The system 200 includes a platform (in the form of a display panel 40) provided by the device for measuring the height or length of the user. In particular, the display panel 40 is configured to display one or more health metrics, including at least the height and the weight of the user. The display panel 40 is connectable to a client device 90 through a network 80. The client device 90 is connectable to a server 300 or various databases, each of which will be explained hereinafter, stored in memory devices such as a hard disk drive, remote or cloud servers, stand-alone databases or other non-volatile memory which are in communication with the client device or the platform.

[0034] According to various embodiments, the display panel 40 is configured for wireless communication with the client device 90 via a communication network 80. The client device 90 is configured to provide real-time notifications to the user based on preset thresholds of a height, a weight, and / or a BMI, and alert the user to significant changes in the one or more health metrics. The display panel 40 includes a processor 42 in data communication with an input interface 43, a wireless communication unit 44, a memory 47 and a power source 46. The processor 42 is in data communication with the magnetic sensor that detects changes or variations in magnetic field strength caused by the plurality of permanent magnets (or the magnetic strip) as the first section is extended. The processor 42 receives the output signal in the form of electrical current or voltage from the magnetic sensor and translates the output signal into a height reading. The processor 42 may provide the central processing unit (CPU) functions of a computing device on one or more integrated circuits. As used herein, the term ‘processor’ broadly refers to and is not limited to single or multi-core general purpose processor, a special purpose processor, a conventional processor, a graphical processing unit, a digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, one or more Application Specific Integrated Circuits (ASICs), one or more FieldProgrammable Gate Array (FPGA) circuits, any other type of integrated circuit, a system on a chip (SOC), and / or a state machine.

[0035] In an embodiment, the wireless communication unit 44 allows data from the display panel 40 to be communicated to a client device 90 via the communication network 80. In particular, the wireless communication unit 44 is configured for transmitting the one or more health metrics to a client device 90 via the communication network 80. In some embodiments, the wireless communication unit 44 can transfer data wirelessly to an application on the client device 90 via the communication network 80. The wireless communication unit 44 includes communications hardware (e g., Bluetooth components, Bluetooth Low Energy components, radiofrequency components, near field communication (NFC) components, ZigBee components, radio frequency identification (RFID) components, WiFi components, Cat-IM components, etc.) for wireless communication with one or more client devices, for example, a mobile device, a personal device or other suitable devices. The wireless communication unit 44 may be configured to communicate using various communication protocols (e g., Wi-Fi, Cat-1M, radiofrequency, RFID, Wi-Fi, Bluetooth, Bluetooth Low Energy, ZigBee, NFC, etc ). In some embodiments, the wireless communication unit 44 is configured to communicate using two or more communication protocols. For example, the wireless communication unit 44 may include both a Bluetooth transceiver and a cellular transceiver configured to establish a Bluetooth- based connection and a cellular connection, respectively, with one or more client devices 90. In some embodiments, the wireless communication unit 44 can transfer data wirelessly via the communication network 80 to an access management system or a server 300. In some embodiments, the data (e.g., height and weight readings) from a server 300 or a plurality of databases facilitates generation of reports, providing analytics, trend analysis, and recommendations to the user based on the health readings obtained from the device 100.

[0036] In an embodiment, the memory 47 stores all data obtained from the readings of the device 100. These readings are saved in the memory 47 and can be sent via the communication network 80 to an access management system (operated by the administrator of the system) accessible by the access right owner or administrator. Individual readings of the user can be stored in the memory 47 and sent to the client device of the user. In some embodiments, the memory be a volatile memory, for example a DRAM (Dynamic Random Access Memory) or a non-volatilememory, for example a PROM (Programmable Read Only Memory), an EPROM (Erasable PROM), EEPROM (Electrically Erasable PROM), or a flash memory, e.g., a floating gate memory, a charge trapping memory, an MRAM (Magneto resistive Random Access Memory) or a PCRAM (Phase Change Random Access Memory).

[0037] In an embodiment, the input interface 43 allows the user to access additional functions of the device 100, such as, but not limited to, BMI calculation, health reports, and system settings. In an embodiment, the power source 46 is a source of electrical energy for powering the device 100. The power source 46 may include one or more internal battery, external battery or external power sources (e.g., connections to a power grid, etc.), or other sources of electrical energy. The power source 46 includes a socket that may include a USB or a USB Type-C interface for receiving a power supply cable for charging the power source that powers the device. In some embodiments, if the power source 46 is a rechargeable lithium power source, the power source 46 is removably detachable from the device and can be taken out of the device and charged. In some embodiments, the display panel 40 is configured to provide alerts regarding the status of the power source (e.g., indications of low or drained power).

[0038] The network 80 (interchangeably used as the communication network) may facilitate data transfer between the device 100 and the client device 90. As used herein, the term ‘network’ refers to a Local Area Network (LAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a proprietary network, and / or Internet Protocol (IP) network such as the Internet, an Intranet or an extranet. Each device, module or component within the system may be connected over a network or may be directly connected. A person skilled in the art will recognize that the terms ‘network’, ‘computer network’ and ‘online’ may be used interchangeably and do not imply a particular network embodiment. In general, any type of network may be used to implement the online or computer networked embodiment of the present invention. The network may be maintained by a server or a combination of servers or the network may be serverless. Additionally, any type of protocol (for example, HTTP, FTP, ICMP, UDP, WAP, SIP, H.323, NDMP, TCP / IP) may be used to communicate across the network. The devices as described herein may communicate via one or more such communication networks.

[0039] In some embodiments, the client device 90 includes display devices such as a personal computer, a portable computing device such as a laptop, computer monitor, a television, a mobile phone, or any other appropriate storage and / or communication device to exchange computer data or information via a web browser and / or communications network. A central processing unit or processor (not shown) executes instructions contained in programs, such as an access management application stored in the memory of the client device 90.

[0040] In some embodiments, the client device 90 is configured to retrieve data (e g., height and weight readings) from a server 300 or a plurality of databases, stored internally or remotely, for generating reports, providing analytics, trend analysis, and recommendations to the user based on the health readings obtained from the device 100. The plurality of databases includes a client record database 310, a national standards database 320 and a medical research database 330. The client record database 310 stores individualized health metrics and user profiles. This includes personal details such as name, age, gender, height, weight, and historical measurements like BMI and growth trends. The client record database 310 enables personalized analytics and facilitates tracking of a user's progress over time. Data from the client record database 310 can also be used for generating periodic health reports and providing recommendations to each user’s unique profile. The national standards database 320 contains health-related benchmarks and guidelines specific to different populations. This includes standardized growth charts, weight-for-age and height-for-age percentiles, and BMI thresholds categorized by age, gender, and geographic region. The national standards database 320 ensures that the system provides health information and recommendations aligned with well-established clinical standards and national health policies. Additionally, the medical research database 330 includes evidence-based medical findings, recent clinical studies, and global health trends. The medical research database 330 supports advanced analytics by enabling predictive modeling of growth patterns, early detection of potential health risks, and the provision of recommendations based on cutting-edge medical research. The client device 90 includes an access management application for remotely accessing the one or more health metrics received from the device 100. Details of the access management application is detailed hereinafter.

[0041] FIG. 7 illustrates a high-level overview of an access management application that is installed in the client device for providing health metrics, in accordance with some embodiments.The access management application 500 (also referred to as an application platform) includes various modules that are accessible by users via a mobile application installed on a client device 90. A mobile can include a mobile or a web application that runs and is executed on, for example, a computing device. The access management application 500 may be a platform for providing users with value added information of their physical health based on the readings obtained from the device 100.

[0042] The access management application 500 includes several modules including a modelling engine 550, a grant access module 510, a report generation module 520, a dashboard module 530 and a recommendation module 540. In some embodiments, the grant access module 510 is configured to manage, provision and grant access to the user to access the user’s health statistics and indicators.

[0043] In some embodiments, the modelling engine 550 includes a rules-based engine 555 and a predictive modelling engine 558 which interacts with each of the respective databases (310, 320, 330) each time a query is received. Each of the rules-based engine 555 and the predictive modelling engine 558 can work independently or together with each other depending on the desired purpose and outcome of the query. The rules-based engine 555 is configured to retrieve or to access readings obtained from the device 100 and from one or more databases which can be publicly available national health data associated with its residents, or health indicators associated with a laboratory test results, and apply a rules-based algorithm that analyses and evaluates the readings according to a set of predetermined rules from a rules database (not shown), and generates a customized report containing a result, diagnosis and recommendation based on the obtained readings of the user.

[0044] The report generation module 520 outputs the customized report to the user. In some embodiments, the report generation module 520 generates periodic health reports based on the historical health metrics of the user and transmits the periodic health reports to at least one healthcare provider or a fitness professional. For example, the rules-based engine 555 compares the readings of the user against the set of predetermined rules from the rules database to determine whether the user has any potential health or medical conditions identified in the rules database. The set of predetermined rules can be well-known and established clinical data or threshold, orpredetermined threshold indicators based on medical research and data that identify medical conditions. For example, a predetermined rule can indicate “if the computed BMI is above 28, then user is obese”. In an embodiment, the predetermined rules can be based on current clinical practice guidelines issued by the ministries and medical bodies which establish protocols or guidelines that are used for diagnosis of a health condition. The predetermined rules may also use evidence-based guidelines which are based on available medical literature. In an embodiment, these predetermined rules also take into account other available variables like age, height, weight, BMI in determining conditions, and past medical history if available. These other variables and indicators of past medical history can be extracted or retrieved from any one or more of the databases, such as the CMS database, electronic medical records database or laboratory database and used as inputs by the rules-based engine 555 in determining a medical condition. When the predetermined rules identify a medical condition, the recommendation module 540 generates a set of recommendations that addresses the identified medical condition. The recommendation may generate one or more identified medical conditions of the user, along with advice associated with each identified medical condition. In some embodiments, the recommendation module 540 generates personalized growth recommendations based on global health data and provides actionable insights to the user.

[0045] In some embodiments, the predictive modelling engine 558 is configured to prepopulate reports generated by the access management application. In some embodiments, the predictive modelling engine 558 uses machine learning techniques to provide more accurate results, recommendations, and treatment plans for the report generation module 520 and the recommendation module 540. Machine learning techniques utilize supervised learning algorithms such as regression models, artificial neural networks, support vector machines and statistical classifiers trained on patient data from the plurality of databases. Supervised learning trains a model on known input and output data so that it can predict future outputs. Machine learning techniques also utilize unsupervised learning which finds hidden patterns or intrinsic structures in input data. A supervised learning algorithm takes a known set of input data and known responses to the data and trams a model to generate reasonable predictions for the response to new data. Supervised learning uses classification and regression techniques to develop predictive models, techniques which are commonly known in the art. In an aspect of an embodiment, a supervised machine learning algorithm will be used to train the collected laboratory results and diagnosisoutcomes. Once trained, the predictive modelling engine 558 can be used to train a model to provide more personalized results and recommendations to the users.

[0046] In some embodiments, the dashboard module 530 provides the user with an overview of the health readings and indicators in a graphical, simplified manner. The dashboard module 530 may also display health trends or statistics of the user based on the monitored readings that have been taken by the user in a periodic manner.|0047| In some embodiments, the application platform 500 further includes a user interface 560 configured to allow each user to create a plurality of user profiles, each representing a family member. In some embodiments, each user profile of the plurality of user profiles includes a corresponding avatar. The customizable avatar updates periodically to reflect health metrics of the each user over time, with options for personalizing the customizable avatar with a plurality of hairstyles, accessories, and / or clothes. This feature of the customizable avatar adds a fun and engaging element for families using the application platform 500.

[0048] In some embodiments, the user interface 560 may allow the user to log in and set a profile in the application platform 500. In some embodiments, the user interface 560 may allow the user to navigate multiple profiles and measurement history in the application platform 500. In some embodiments, the user interface 560 may allow the user to add, edit and delete profiles in the application platform 500, each of which will be explained in greater detail in conjunction with FIGS. 8A - 10.

[0049] In some embodiments, the application platform 500 further includes a food and activity tracker for monitoring the growth patterns of the user or any sudden deviations in the growth patterns, with an ability to synchronize data from external wearables for more comprehensive monitoring. In addition to tracking their own measurements, the user can contribute their data and compare it with population averages These comparisons can be made across various factors such as gender, ethnicity, diet, and activity level, providing valuable insights and fostering a sense of community.

[0050] In some embodiments, the application platform 500 further includes a chatbot-based troubleshooting interface that provides users with automated responses to common issues andqueries related to the system. The chatbot-based troubleshooting interface can be implemented through a Large Language Model (LLM) chatbot that effectively addresses one or more queries of the user.

[0051] In some embodiments, the client device 90 may include a processor 94 for analysing the one or more health metrics. The processor 90 may provide the central processing unit (CPU) functions of a computing device on one or more integrated circuits. As used herein, the term ‘processor’ broadly refers to and is not limited to single or multi-core general purpose processor, a special purpose processor, a conventional processor, a graphical processing unit, a digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, one or more Application Specific Integrated Circuits (ASICs), one or more Field Programmable Gate Array (FPGA) circuits, any other type of integrated circuit, a system on a chip (SOC), and / or a state machine.|0052| In some embodiments, the client device 90 further includes a communication unit 93 for receiving the one or more health metrics from the health metrics measurement device 100. In some embodiments, the client device 90 may further include a display 91 for presenting the analysed one or more health metrics to the user. In some embodiments, the client device 90 may further include a memory unit (e g., a storage 95) for storing the one or more health metrics. In an embodiment, the memory unit of the client device 90 is further configured to store a profile for each user comprising personal health data, measurement history, and preferences of each user.

[0053] In some embodiments, the client device 90 further includes an input unit 92 for facilitating user interaction and data input. The input unit 92 includes physical components such as buttons, dials, or keyboards, as well as virtual interfaces like touchscreens or voice-activated controls. The input unit 92 allows the user to perform various actions, including entering personal health data, adjusting device settings, selecting specific health metrics for review, and customizing notifications or alerts.

[0054] Additionally, the input unit 92 may enable the user to input preferences such as target health goals or thresholds for parameters, such as weight, height, and BMI. These preferences can be used by the system to generate personalized insights, trend analyses, and recommendations. Insome configurations, the input unit 92 supports multi-user profiles, allowing multiple individuals to input their data on a shared client device while maintaining separate profiles.

[0055] FIG. 8A illustrates an exemplary user interface for enabling user to login and signup for the access management application, in accordance with some embodiments. The user interface 560 includes separate sections for entering credentials such as phone numbers and passwords. Buttons labeled "Login" and "Sign Up" provide functionality for existing and new users. Additional options may include links for password recovery and quick access using third-party authentication methods, such as social media accounts or email providers. Indicators or prompts guide users through the login or signup process, ensuring a smooth user experience.

[0056] To enable a user to log in or sign up, the following steps need to be followed:

[0057] Step 560- 1 : the user is presented with a welcome page of the application platform.

[0058] Step 560-2: upon clicking on the welcome page, the user is presented with the main login / signup interface, which includes fields for phone number.

[0059] Step 560-3: a check is performed to determine whether the phone number entered is already signed up. If the user is an existing account holder, the user enters login credentials (phone number) in the respective fields. The user selects the “Continue” button to proceed.|0060| FIG. 8B illustrates a continuation of the exemplary user interface of FIG. 8A for enabling user to login and signup for the access management application, in accordance with some embodiments

[0061] Step 560-4: the “Sign Up” button navigates to the account creation interface for new users. The new users are required to input personal details, such as name, email, phone number, in the provided fields for registration.

[0062] Step 560-5: if the user is an existing account holder, the phone number will be verified by sending a one-time password (OTP) to a registered mobile number.

[0063] Step 560-6: a check is performed to determine whether the account is old.

[0064] Step 560-7: the application redirects the user to a home dashboard 560-7b if it is the old account. The dashboard depicts a username 560-7a, weight 560-7c, and measurement history 560-7d of the user. If the account is new, then the application redirects the user to a profile setup interface.

[0065] FIG. 8C illustrates an exemplary user interface for enabling the user to profile set up and scale set up, in accordance with some embodiments.|0066| The profile setup and pairing of the health metrics measurement device (i.e., scale setup) includes the following steps:

[0067] Step 560-8: After login or signup, the user accesses the profile setup interface, which displays prompts for setting up an account.

[0068] Step 560-9: The user is instructed to pair the health metrics measurement device with the client application via Bluetooth or other wireless communication methods.

[0069] Step 560-10: The application initiates a search for available devices within range and lists them for selection.

[0070] Step 560-11 : The user selects the device to pair, and the application initiates the pairing process. Once the pairing is complete, a success message confirms the connection, and the user proceeds to configure the scale settings.

[0071] FIG. 8D illustrates an exemplary user interface for enabling the user to set up the device, in accordance with some embodiments.

[0072] The device setup includes the following steps:

[0073] Step 560-12: The user accesses the device setup interface, which displays options for device selection (e g., scale 00001 or scale 00002).

[0074] Step 560-13: Upon successful calibration, the interface confirms that the device is ready for use. The user may also rename the device for easier identification, especially when multiple devices are in use.

[0075] FIG. 8E illustrates an exemplary user interface for enabling the user to add, edit and delete multiple profiles, in accordance with some embodiments. The steps of adding, editing and deleting multiple profiles includes:

[0076] Step 560-14: The user accesses the profile interface, which displays a list of existing profiles. The user presses an “Add Profile” button to enable the creation of a new profile by entering details such as name, age, and gender.10077| Step 560-15: A check is performed for input of the added profile.

[0078] Step 560-16: The user with an added profile starts showing up in the profile setup interface

[0079] Step 560-17: The "Edit Profile" option allows modification of existing profile information.

[0080] Step 560-18: The "Delete Profile" option enables the removal of a profile, with a confirmation dialog to prevent accidental deletions.

[0081] FIG. 9A illustrates an exemplary user interface for enabling the user to navigate multiple profiles and measurement history, in accordance with some embodiments. The interface supports quick navigation between profiles, displaying a summary of recent measurements for each. FIG. 9A shows how users navigate profiles and view historical data:

[0082] Step 560-7: The application redirects the user to a home dashboard 560- 7b. The dashboard depicts a username 560-7a, weight 560-7c, and measurement history 560-7d of the user.

[0083] Step 560-19: The interface displays a list of profiles.

[0084] Step 560-20: Selecting a profile opens a detailed view showing historical measurements, such as height, weight, and BMI for the selected number of days.

[0085] Step 560-21 : The interface includes filters for specifying date ranges or metrics to focus on specific data sets.

[0086] FIG. 9B illustrates an exemplary user interface depicting different profile views for a male user and a female user, in accordance with some embodiments. The present FIG. 9B illustrates gender-specific profile customization. The interface displays profiles for male and female users, each with distinct avatars and themes:

[0087] Steps 560-23, and 560-25: The interface displays profiles for a male user. Profile details include personalized metrics such as customized growth charts or specific health goals.10088| Steps 560-24 and 560-26: The interface displays profiles for a female user in different colors and themes.

[0089] FIG. 9C illustrates an exemplary user interface for enabling the user to view profiles data, in accordance with some embodiments. FIG. 9C shows how profile data is displayed:

[0090] Step 560-27: The interface presents a summary of health metrics, such as height, weight, and BMI of two different users.

[0091] Step 560-27a: Historical trends of weights for two different users are displayed using interactive graphs, allowing users to explore data for specific periods.

[0092] Step 560-28: The interface presents an expanded version of the historical trends of weights for two different users.

[0093] FIGS. 9D - 9E illustrates an exemplary user interface that enables the user to add a profile via a Quick-Response (QR) code, in accordance with some embodiments. The aforementioned figures explain how profiles are added using a QR code:

[0094] Step 560-29: The user selects the "Add Profile" option and navigates to the QR code scanning interface.

[0095] Step 560-30: The application activates the camera and displays a scanning area for capturing the QR code 560-30a.

[0096] Step 560-31 : Upon successful scanning, the profile details are automatically imported.

[0097] Step 560-32: The application asks the user to confirm if the user wants to ass the scanned profile 560-32a to a profile list. If the QR code scan fails, the interface prompts the user to retry or manually enter profile details.

[0098] Step 560-33: The interface presents the successfully added profile in the profde list.

[0099] FIG. 9F illustrates an exemplary user interface that enables the user to measure health metrics in accordance with some embodiments. The present figure illustrates a process of initiating health metrics measurement:

[0100] Step 560-34: The user accesses the measurement interface, which provides clear instructions for using the device. The user initiates the measurement process using the "Start" button.

[0101] Step 560-35: The interface shows the avatar of which health metrics are measured The male user may have a different avatar from the female user. The avatars can be customized with different hairstyles, accessories, clothes, skin color, etc.,

[0102] Steps 560-36 and 560-37: The interface displays real-time results, such as height, weight, and BMI, as they are measured.

[0103] FIG. 9G illustrates an exemplary user interface that enables the user to change different settings of the access management application, in accordance with some embodiments. The present figure explains the settings interface:

[0104] Step 560-38: The user accesses the settings interface 560-38a, which includes tabs or menus for different categories such as units 560-38b, notifications 560-38c, and FAQ center 560- 38d.

[0105] Step 560-39: Account security settings allow the user to manage the profile.

[0106] Step 560-40: OTP-based verification removes the existing number associated with the user profile.

[0107] Step 560-41 : Deleted account notifications can be viewed from the notifications menu customized for specific metrics or events, such as BMI thresholds or power alerts.

[0108] FIG. 10 is a chart of the stature and weight-for-age percentiles of boys according to various embodiments. FIG. 11 is a chart of the stature and weight-for-age percentiles of girls according to various embodiments. FIG. 12 is a chart of the Body Mass Index-for-age percentiles of girls according to various embodiments. FIG. 13 is a chart of the Body Mass Index-for-age percentiles of boys according to various embodiments. As mentioned above, the rules-based engine 555 is configured to retrieve data from one or more databases (310, 320, 330) which can be publicly available national standards associated with its residents, or medical health data from research databases, and apply a rules-based algorithm that analyses and evaluates the readings according to a set of predetermined rules from a rules database (not shown), and generates a customized report containing a result, diagnosis and recommendation based on the obtained readings of the user. The aforesaid figures are representative of publicly available national health standards of its residents based on age and gender. These data are input into the databases for retrieval by the modelling engine 550 for processing individual readings of a user and applying algorithms to generate personalized reports and recommendations to the user.

[0109] As will be appreciated by those skilled in the art, the techniques described in the various embodiments discussed above are not routine, or conventional, or well understood in the art. The techniques discussed above provide for enhanced accuracy in measuring health metrics, including height and weight, by integrating a magnetic sensor-based measurement system with a configurable scale setup. The use of a magnet arrangement with alternating poles enables precise positional tracking, ensuring reliable readings even in varying environmental conditions. Additionally, the integration of a wireless communication unit allows data transfer to the client device, enabling real-time analytics, trend analysis, and personalized health recommendations. The system’s ability to manage multiple user profiles and provide information based on national health standards and medical research data represents a substantial advancement in the field of health monitoring devices. Furthermore, the incorporation of the user interface for setup, profile management, and data visualization enhances usability and accessibility, making the system suitable for a wide range of users in both professional and personal settings.

[0110] In light of the above-mentioned advantages and the technical advancements provided by the disclosed method and system, the claimed steps as discussed above are not routine, conventional, or well understood in the art, as the claimed steps enable the following solutions to the existing problems in conventional technologies. Further, the claimed steps clearly bring an improvement in the functioning of the device itself as the claimed steps provide a technical solution to a technical problem.[oni] The specification has described the device and system for health metrics measurement.The illustrated steps are set out to explain the exemplary embodiments shown, and it should be anticipated that ongoing technological development will change the manner in which particular functions are performed. These examples are presented herein for purposes of illustration, and not limitation. Further, the boundaries of the functional building blocks have been arbitrarily defined herein for the convenience of the description. Alternative boundaries can be defined so long as the specified functions and relationships thereof are appropriately performed. Alternatives (including equivalents, extensions, variations, deviations, etc., of those described herein) will be apparent to persons skilled in the relevant art(s) based on the teachings contained herein. Such alternatives fall within the scope and spirit of the disclosed embodiments.

[0112] Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein The term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include random access memory (RAM), read-only memory (ROM), volatile memory, nonvolatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media.

[0113] It is intended that the disclosure and examples be considered as exemplary only, with a true scope and spirit of disclosed embodiments being indicated by the following claims.

Claims

CLAIMS1. A health metrics measurement device, comprising: a base element configured to support a user in a standing position, wherein the base element comprises a weight measurement element for determining a weight of the user standing on the base element; a profiled post mounted perpendicularly on the base element, wherein the profiled post comprises: a measurement section, wherein the measurement section comprises: a first section being vertically extendable and retractable from an end portion of the profiled post, wherein the first section is configured to provide height measurements of the user; and a second section coupled to the first section, wherein the second section is extendable up to a predefined length and used when the user is taller than the first section, and a magnetic sensor configured to detect variations in a magnetic field caused by at least one of an extension and a retraction of the first section; a level adjustment element attached to the second section and configured to be placed on a head of the user to ensure accurate height measurement of the user; a display panel configured to display one or more health metrics comprising at least a height, and the weight of the user, and a communication unit for transmitting the one or more health metrics to a client device via a communication network.

2. The device of claim 1 , wherein the predefined length is 70 cm from the first section.

3. The device of claim 1 , the level adjustment element is rotatable about a central axis of the second section and foldable downwards.

4. The device of claim 1, wherein the first section includes a magnet arrangement comprising a plurality of permanent magnets, arranged longitudinally with alternating north and south poles.

5. The device of claim 1, wherein the magnetic sensor comprises a housing assembly positioned within an aperture of the profiled post, and wherein the housing assembly comprises a first cover and a second cover detachably removable from the first cover.

6. The device of claim 5, wherein the housing assembly further comprises a third cover attached to the second cover to form a housing for the magnetic sensor, with a plurality of springs positioned at each corner to maintain proximity between the magnetic sensor and the permanent magnets.

7. The device of claim 1, wherein the display panel further comprises an input interface that allows the user to access additional functions of the device, comprising Body Mass Index (BMI) calculation, health reports, and system settings.

8. The device of claim 1 , wherein the display panel is configured to provide alerts regarding a status of a power source comprising indications of low or drained power.

9. A system for measuring health metrics of a user, the system comprising: a health metrics measurement device comprising: a base element configured to support the user in a standing position, wherein the base element comprises a weight measurement element for determining a weight of the user standing on the base element; a profiled post mounted perpendicularly on the base element, wherein the profiled post comprises: a measurement section, wherein the measurement section comprises: a first section being vertically extendable and retractable from an end portion of the profiled post, wherein the first section is configured to provide height measurements of the user; and a second section coupled to the first section, wherein the second section is extendable up to a predefined length and used when if user is taller than the first section; and a magnetic sensor configured to detect variations in a magnetic field caused by at least one of an extension and a retraction of the first section;a level adjustment element attached to the second section and configured to be placed on a head of the user to ensure accurate height measurement of the user; a display panel configured to display one or more health metrics comprising at least a height, and the weight of the user; and a communication unit for transmitting the one or more health metrics via a communication network; and a client device configured to receive the transmitted one or more health metrics from the health metrics measurement device.

10. The system of claim 9, wherein the client device further comprises an application platform for remotely accessing the one or more health metrics received from the health metrics measurement device.11 . The system of claim 9, wherein the client device is connected to a server, and wherein the server is configured to store the health metrics of the user and provide analytics, trend analysis, and recommendations based on the health metrics of the user.

12. The system of claim 9, wherein the client device is configured to provide real-time notifications to the user based on preset thresholds of a height, a weight, and / or a Body Mass Index (BM1), and alert the user to significant changes in the one or more health metrics.

13. The system of claim 9, wherein the client device comprises: a processor for analysing the one or more health metrics, a display for presenting the analysed one or more health metrics to the user; and a memory unit for storing the one or more health metrics.

14. The system of claim 13, wherein the memory unit of the client device is further configured to store a profile for each user comprising personal health data, measurement history, and preferences of the each user.

15. The system of claim 9, wherein the client device is configured to generate periodic health reports based on historical health metrics of the user, and transmit the periodic health reports to at least one of a healthcare provider or a fitness professional.

16. The system of claim 10, wherein the application platform comprises a user interface configured to allow a plurality of user profiles to be created, each representing a user.

17. The system of claim 16, wherein each user profile of the plurality of user profiles comprises a corresponding customizable avatar, wherein the customizable avatar updates periodically to reflect health metrics of the each user over time, with options for personalizing the customizable avatar with a plurality of hairstyles, accessories, and / or clothes.

18. The system of claim 10, wherein the application platform comprises a food and activity tracker for monitoring growth patterns of the user, with an ability to synchronize data from external wearables.

19. The system of claim 10, wherein the application platform comprises a chatbot-based troubleshooting interface that provides users with automated responses to common issues and queries related to the system.

20. The system of claim 10, wherein the application platform generates personalized growth recommendations based on global health data and provides actionable insights to the user.

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