Description:FIELD OF THE INVENTION

[0001] The present invention relates to a gym fitness monitoring device that is developed for providing personalized exercise guidance, injury prevention support, and adaptive workout recommendations.

BACKGROUND OF THE INVENTION

[0002] Fitness training and health monitoring have become important parts of modern life as people increasingly focus on maintaining physical fitness and preventing lifestyle related diseases. Many individuals attend gyms or use fitness equipment to improve strength, endurance, and overall health. Various devices such as treadmills, stationary bikes, wearable fitness bands, and mobile fitness applications are commonly used to track exercise performance and basic health parameters. Some devices provide heart rate monitoring or calorie estimation, while others offer preset workout programs. However, most of these devices operate independently and do not combine posture analysis, vital sign monitoring, and environmental assessment into a single platform. As a result, users often rely on multiple devices or manual supervision to manage their training routines.

[0003] In traditional methods, users depend heavily on personal trainers or static exercise machines that provide limited feedback regarding posture, breathing pattern, and muscle engagement. Wearable devices typically measure only basic parameters such as heart rate or step count and not provide detailed physiological or biomechanical analysis during workouts. Many gym environments also lack that monitor air quality, temperature, or humidity, which affect user performance and safety. Incorrect posture during exercise lead to muscle strain or injury, especially when real time corrective guidance is not available. Users also face difficulty in maintaining hygiene of shared wearable devices and tracking their availability. These limitations create challenges in achieving safe, efficient, and personalized fitness training.

[0004] US10878719B2 discloses a computer-implemented method for providing a new workout for an athlete utilizing a fitness monitoring service includes the steps of granting an athlete access to an account of the fitness monitoring service, maintaining a schedule of workouts for the athlete to complete in association with the account, receiving the new workout from a coach, adding the new workout to the schedule of workouts, and exchanging information related to the new workout with a portable fitness monitoring device.

[0005] US11468711B2 discloses that athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally, or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

[0006] Conventionally, many devices disclosed in the prior art for monitoring fitness activities and health parameters are used in gyms and training centers. However, these devices often rely on manual supervision, isolated wearable trackers, or individual exercise machines that function independently, which limits their effectiveness in providing continuous, real time, and comprehensive performance assessment.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that requires to be capable of providing autonomous fitness and health assessment during exercise sessions. The device requires to be capable of monitoring user posture, physiological parameters, breathing patterns, and surrounding environmental conditions. Such a device should be able to detect improper exercise form, abnormal vital signs, signs of fatigue, and unsafe ambient conditions during workouts, thereby supporting safer and more effective training management.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that is capable of delivering real time assessment of user performance during exercise sessions to improve safety, accuracy, and overall training effectiveness.

[0010] Another object of the present invention is to develop a device that generates personalized workout guidance based on user specific health data, fitness goals, and training duration preferences.

[0011] Another object of the present invention is to develop a device that provides real time corrective feedback to users to assist in maintaining proper posture and movement during exercise, thereby reducing the risk of injury.

[0012] Another object of the present invention is to develop a device that provide continuous monitoring of multiple physiological parameters of user during workouts to evaluate exertion levels and physical response.

[0013] Yet another object of the present invention is to develop a device that provide dynamic adjustment of workout recommendations based on changing user conditions and surrounding environmental factors.

[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 gym fitness monitoring device that autonomously assesses user performance, physiological condition, and surrounding environmental factors in real time during exercise sessions, and facilitates adaptive workout guidance and responsive feedback based on user specific health data, movement patterns, exertion levels, and ambient conditions.

[0016] According to an aspect of the present invention, gym fitness monitoring device, comprises of a housing, an interactive display panel installed on the housing and configured to receive user health data inputs including body weight, height, medical conditions, specific muscle development goals and desired training durations for generating personalized user profiles and customized exercise schedules with real time synchronization to a connected user interface, an examining module mounted on the top surface of the housing and configured to continuously monitor the user during training sessions, wherein the examining module comprises an articulated arm coupled to a spherical ball equipped with an imaging unit, a proximity sensor, an infrared sensor and a first IMU configured to scan user posture and movements during exercise detecting position, orientation and motion in real time, a microcontroller embedded in the housing and integrated with AI configured to analyze data received from the examining module and deliver accurate responsive guidance, a dual compartment storage chamber provided with the housing and configured to store used and unused wristbands separately for real time vital monitoring via an integrated sensor suite, wherein the sensor suite comprises a heart rate sensor, a body temperature sensor, an SpO₂ sensor, a second IMU, a respiratory sensor, a surface electromyography sensor and a compact camera configured to collectively provide comprehensive physiological and biomechanical assessment during exercise activities, and wherein each compartment of the wristband storage chamber is equipped with a motorized sliding door for preventing contamination exposure.

[0017] According to another aspect of the present invention, the device further comprises of an ultraviolet sterilization light source installed in the used wristband compartment for disinfecting wristbands and a proximity sensor integrated with each compartment for inventory monitoring and alert generation, a projector mounted on the housing and configured to cast color coded visual posture guidelines for correct exercise execution based on analysis performed by the microcontroller, an environmental inspection module installed on the housing and comprising a temperature sensor, a hygrometer and an air quality sensor continuously monitoring ambient conditions enabling the microcontroller to dynamically adjust workout guidance recommendations, a plurality of extendable support rods attached to the housing and each support rod coupled to a motorized omnidirectional wheel configured to provide height adjustment and mobility to the housing, an LED status indicator installed on the housing configured to provide real time color coded operational feedback, a directional microphone array installed on the housing for high precision voice command capture and AI based acoustic breath analysis enabling dynamic workout intensity recommendation, and a communication module integrated with the microcontroller configured to establish wireless connectivity with a computing unit inbuilt with a user interface for remote monitoring and control of operations.

[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 an isometric view of a gym fitness monitoring device.

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 gym fitness monitoring device that is developed for assessing user physical performance, monitoring vital physiological parameters, guiding proper exercise execution, and delivering personalized fitness recommendations. Additionally, the device supports real-time health evaluation, posture correction, environmental adaptation, and actionable workout guidance while ensuring ease of use, operational efficiency, and reliability across varied gym settings and user fitness levels.

[0024] Referring to Figure 1, an isometric view of a gym fitness monitoring device is illustrated, comprising a housing 101, an interactive display panel 102 installed on the housing 101, an imaging unit 103 mounted on the top surface of the housing, a dual-compartment storage chamber 104 provided with the housing 101, a projector 105 mounted on the housing 101, a plurality of extendable support rods 106 is attached to the housing 101 and each support rod coupled to a motorized omnidirectional wheel 107, each compartment of the wristband storage chamber 104 is equipped with a motorized sliding door 108, an ultraviolet sterilization light source 109 installed in the used wristband compartment, an LED (light emitting diode) status indicator 110 is installed on the housing 101, a directional microphone array 111 installed on the housing 101, an articulated arm 112 is integrated with the imaging unit 103.

[0025] The device disclosed herein comprises a housing 101 that serves as the central structural and operational foundation. A plurality of extendable support rods 106 is attached to the underside of the housing 101, with each support rod 106 mechanically coupled to a motorized omnidirectional wheel 107.

[0026] An interactive display panel 102 is installed on the front-facing surface of the housing 101 and is configured to serve as the primary user interface for data input, profile management, and real-time feedback visualization. The display panel 102 comprises a capacitive touchscreen with a high-resolution display matrix, enabling precise touch-based interaction. Internally, the display panel 102 incorporates a display driver integrated circuit that continuously refreshes the pixel matrix to render text, graphics, charts, and animations with high clarity. The display panel 102 is configured to receive user health data inputs including body weight, height, pre-existing medical conditions, specific muscle group development goals, and desired training durations.

[0027] Upon receiving these inputs, an embedded microcontroller processes the data through an artificial intelligence engine to generate a personalized user profile. The profile serves as the foundational dataset for creating customized exercise schedules tailored to the user's physical capacity and goals, as well as dietary plan recommendations calibrated to the user's caloric requirements and nutritional needs based on the entered parameters.

[0028] In an exemplary embodiment of the present invention, a user entering a body weight of eighty kilograms, a height of one hundred and seventy-five centimeters, a goal of developing quadriceps and hamstring strength, and a training duration of forty-five minutes per session would receive a profile-specific leg day program with corresponding dietary macronutrient breakdowns. All profile data and generated plans are synchronized in real time with a connected user interface on an external computing device, enabling the user to review their schedule and dietary guidance remotely through a paired smartphone application or web dashboard.

[0029] Upon receiving height extension command from the user via display panel 102, the microcontroller generates an actuation command for the extendable support rods 106. The extendable support rods 106 operate on the principle of a pneumatic unit, wherein each support rod comprises a pneumatic cylinder connected to a compressed air source and controlled through an electrically actuated valve, such that when compressed air is introduced into the cylinder, pressure builds against an internal piston causing the piston rod to extend outward and thereby elevate the housing 101 to a desired height, and when the air is released or redirected through the valve, the internal pressure decreases allowing the piston to retract smoothly under controlled exhaust conditions, thereby lowering the housing in a stable manner.

[0030] Herein, the motorized omnidirectional wheel 107 coupled to the lower terminal end of each support rod operate by utilizing rotational torque generated by an embedded direct current motor to drive a set of passive rollers mounted circumferentially around each wheel at an approximate angle of forty-five degrees to the wheel's central rotational axis. As the motor drives the primary wheel structure, each passive roller rotates independently, generating force vectors in both longitudinal and lateral directions simultaneously. The resultant combination of these force vectors enables the wheel assembly to move the housing 101 smoothly and precisely in any desired direction, including forward, backward, lateral, and diagonal trajectories, without requiring physical reorientation of the wheel structures. This omnidirectional mobility allows the device to autonomously reposition itself within the gym space to maintain optimal proximity and alignment with the user throughout the duration of a training session.

[0031] For example, as a user transitions from a stationary bicep curl exercise to a lateral movement-based exercise such as lateral lunges, the device autonomously tracks and reposition itself to maintain a consistent monitoring angle and projection distance.

[0032] An examining module is mounted on the upper surface of the housing 101 and is configured to continuously monitor the user throughout the duration of training sessions. The examining module comprises an articulated arm 112 that provides multi-segment mechanical flexibility, with the distal end of the articulated arm 112 coupled to a spherical ball that carries an integrated imaging unit 103, a proximity sensor, an infrared sensor, and a first inertial measurement unit. The articulated arm 112 operates through a series of motorized joints, each driven by a precision servo motor that enables controlled angular rotation at each joint segment. The combination of multiple motorized joints along the arm allows the sensor head to be directed toward the user with a high degree of positional and angular freedom, accommodating the diverse spatial dynamics of different exercises.

[0033] Herein, the imaging unit 103 within the spherical head comprises a wide-angle lens assembly coupled to a high-resolution complementary metal-oxide-semiconductor image sensor that continuously captures visual frames of the user's body during exercise. The captured image frames are transmitted to the microcontroller, where artificial intelligence-based computer vision protocols including Open Pose based skeletal key point detection protocols, Media Pipe Pose landmark detection models, and convolutional neural network based human pose estimation architectures such as HRNet for real time joint localizationperform skeletal landmark detection, joint angle estimation, and movement trajectory analysis in real time.

[0034] The artificial intelligence engine compares the detected postural parameters against a database of biomechanically correct exercise postures stored in training model, identifying deviations such as excessive knee valgus during squats, forward trunk lean during rows, or elbow flare during bench press. Upon detecting a postural deviation, the microcontroller generates corrective guidance delivered through the display panel 102.

[0035] Herein, the proximity sensor integrated within the spherical sensor head operates on the principle of infrared reflection distance measurement, wherein an infrared light-emitting diode emits a modulated infrared beam toward the user, and a matched photodetector captures the intensity of the reflected signal. The time delay and intensity variation of the reflected signal are processed by internal signal-conditioning circuitry to calculate the real-time distance between the sensor head and the user's body. This distance data enables the microcontroller to detect whether the user is positioned within the optimal monitoring range. Additionally, proximity data contributes to exercise repetition counting by detecting the periodic approach and recession of body segments during cyclical movements such as bicep curls, push-ups, or squats.

[0036] The infrared sensor within the spherical head supplements the visual imaging capability by detecting thermal radiation emitted by the user's body surface, enabling the microcontroller to identify areas of excessive muscular heat generation that indicate overexertion, muscle fatigue accumulation, or injury risk zones. Internally, the infrared sensor comprises a thermopile detector array and signal-processing electronics that convert incident infrared radiation into proportional electrical signals, which are digitized and transmitted to the microcontroller for integration with the overall user assessment data.

[0037] The first inertial measurement unit (IMU) housed within the spherical head contains a triaxial accelerometer, a triaxial gyroscope, and optionally a triaxial magnetometer, all integrated on a single semiconductor die with an onboard digital signal processor. The accelerometer measures linear acceleration along three orthogonal axes, the gyroscope measures angular velocity around three orthogonal axes, and the magnetometer provides absolute heading reference. The digital signal processor within the inertial measurement unit fuses data from all three sensor types using a sensor fusion protocols such as a Kalman filter to produce accurate real time estimates of the sensor head's orientation in three-dimensional space. This orientation data allows the microcontroller to compensate for unintended movements of the articulated arm 112 and to precisely track the angular trajectory of the user's limb segments during exercise, providing a comprehensive biomechanical analysis layer to complement the visual data from the imaging unit 103.

[0038] A dual-compartment wristband storage chamber 104 is integrated within the housing 101 and is configured to separately store used and unused wristbands, each wristband being equipped with a comprehensive sensor suite for real-time physiological and biomechanical monitoring during exercise. The dual-compartment configuration physically separates used wristbands, which may carry perspiration, skin residue, and microbial contaminants, from freshly sterilized unused wristbands, thereby preventing cross-contamination and ensuring hygienic readiness of each device for the next user.

[0039] Each compartment of the wristband storage chamber 104 is equipped with a motorized sliding door 108 that controls access to the compartment interior. The motorized sliding door 108 operates through a compact rack-and-pinion drive coupled to a miniature electric motor, wherein energizing the motor causes linear translation of the door panel along a guided track to open or close the compartment aperture. The sliding door of the unused wristband compartment opens automatically when the microcontroller receives a user session initiation command, dispensing a sterilized wristband for the new user. The sliding door of the used wristband compartment opens when a user returns the wristband after completing their session, after which the door closes and the sterilization cycle is initiated.

[0040] An ultraviolet sterilization light source 109 is installed within the used wristband compartment, comprising a germicidal Ultraviolet-C light-emitting diode array that emits ultraviolet radiation at a wavelength, for disrupting the deoxyribonucleic acid structure of microorganisms including bacteria, viruses, and fungi, rendering them biologically inert and incapable of reproduction. The sterilization cycle is automatically triggered upon closure of the used compartment door and runs for a predetermined duration calibrated to achieve effective microbial reduction on the wristband surface.

[0041] Following the completion of the sterilization cycle, the microcontroller moves the sterilized wristband into the unused compartment, ready for the next user. A proximity sensor integrated within each compartment continuously monitors the inventory level of wristbands by detecting the presence or absence of wristband units within the storage space. The proximity sensor operates on the principle of infrared reflection measurement and generates a distance or presence signal that the microcontroller interprets as indicative of current inventory count. When the detected inventory level falls below a predefined threshold, the microcontroller generates an automated low-inventory alert transmitted to the gym management interface through the display panel 102, prompting timely replenishment before supply is exhausted.

[0042] The sensor suite integrated within each wristband comprises a heart rate sensor, a body temperature sensor, a peripheral capillary oxygen saturation sensor, a second inertial measurement unit, a respiratory sensor, a surface electromyography sensor, and a compact camera. The heart rate sensor operates on the principle of photoplethysmography, wherein a green light-emitting diode illuminates the skin surface at the wrist, and a matched photodetector captures the intensity of the light transmitted through or reflected from the underlying tissue. As blood is pumped through the capillary network with each cardiac contraction, the volume of blood in the tissue changes rhythmically, causing corresponding variations in light absorption. The photodetector converts these light intensity variations into an electrical signal, which is processed by an analog front-end circuit and a digital signal processor to extract the instantaneous heart rate in beats per minute. Continuous heart rate monitoring enables the microcontroller to track cardiovascular exertion levels throughout the session, ensuring the user remains within their target heart rate zone and alerting them if heart rate exceeds safe thresholds for their age and health profile.

[0043] The body temperature sensor within the wristband operates on the principle of thermistor-based resistance measurement, wherein the electrical resistance of a temperature-sensitive semiconductor element changes predictably with variations in skin surface temperature. The resistance variation is converted into a proportional voltage signal by a signal-conditioning circuit, which is then digitized and transmitted to the microcontroller. Continuous temperature monitoring enables the microcontroller to detect early indicators of overheating, heat exhaustion, or in cold environments, the onset of hypothermia, triggering appropriate workout intensity adjustments or rest recommendations.

[0044] The peripheral capillary oxygen saturation sensor employs the dual-wavelength photoplethysmography technique, wherein both red light and infrared light are alternately emitted by two separate light-emitting diodes through the wrist tissue. Oxygenated and deoxygenated hemoglobin absorb these two wavelengths at different ratios, and by computing the ratio of the pulsatile components of the detected signals at each wavelength, the signal processor calculates the percentage of oxygenated hemoglobin in the arterial blood, reported as the oxygen saturation value. A declining oxygen saturation reading during intense exercise alerts the device to potential respiratory insufficiency, prompting the microcontroller to recommend reduced exercise intensity or a breathing recovery pause.

[0045] The second inertial measurement unit within the wristband, similar in architecture to the first inertial measurement unit in the sensor head, provides triaxial acceleration and angular velocity measurements from the wrist segment. These measurements are processed using sensor fusion protocols comprise Kalman filtering approaches to track the trajectory, velocity, and orientation of the user's wrist and forearm during exercise, contributing to repetition counting, range of motion assessment, and movement symmetry analysis.

[0046] The respiratory sensor integrated in the wristband is configured to analyze the composition of exhaled breath through a micro-electrochemical sensing element that responds to the concentration of specific gaseous compounds in air drawn over its active surface. During intense physical exertion, the ratio of carbon dioxide to oxygen in exhaled breath changes in a pattern correlated with metabolic rate and anaerobic threshold. By continuously sampling ambient air near the wrist area and processing the electrochemical signals generated by the sensor, the microcontroller can estimate the user's respiratory exchange ratio and metabolic intensity, contributing to a more precise assessment of exercise load and fatigue state.

[0047] The surface electromyography sensor embedded in the wristband detects the electrical activity generated by muscle fibers during contraction. Internally, the sensor comprises a pair of biocompatible silver surface electrodes positioned to maintain consistent skin contact at the wrist, coupled to a high-gain differential amplifier with active noise rejection and a bandpass filter tuned to the typical surface electromyography signal frequency. The amplified and filtered electrical signal represents the cumulative motor unit action potential activity of the underlying forearm musculature, which the microcontroller analyzes to monitor muscle activation levels, fatigue progression, and contraction timing patterns. Elevated surface electromyography amplitude sustained over time serves as an indicator of approaching muscular fatigue, prompting the microcontroller to recommend rest intervals or reduced resistance levels to prevent overtraining injury.

[0048] The compact camera integrated within the wristband is a miniature complementary metal-oxide-semiconductor imaging module positioned to capture images of the wrist dorsal surface and the immediate surrounding environment. The camera serves multiple functions simultaneously, including wrist orientation detection through analysis of visual landmarks on the wrist surface, biometric user authentication through vein pattern recognition to ensure the wristband is assigned to the correct user profile, and gesture recognition to enable the user to issue control commands to the monitoring system through predefined hand gestures without requiring physical interaction with the display panel 102.

[0049] In an exemplary embodiment of the present invention, a user mid-exercise can issue a gesture command to pause the session timer, request a rest period, or skip to the next scheduled exercise in their program without interrupting their training flow.

[0050] A projector 105 is mounted on the housing 101 and is configured to cast real-time color-coded visual posture guidelines directly onto the floor surface, walls, or the user's body to facilitate correct exercise execution without requiring the user to repeatedly look at the display panel 102. The projector 105 operates on the principle of digital light processing, wherein a digital micro mirror device comprising an array of microscopic tilting mirrors modulates a high-intensity light beam generated by a light-emitting diode array to produce a projected image with high brightness and color accuracy. The microcontroller processes the postural data from the examining module imaging unit 103 103 and inertial measurement unit in real time and generates a corresponding visual overlay indicating correct body alignment, foot placement zones, movement path trajectories, and joint angle targets rendered in distinct colors.

[0051] In an exemplary embodiment of the present invention, during a squat exercise, the projector 105 cast a green arc on the floor indicating the correct foot placement width and toe angle, a yellow guide line indicating the desired knee tracking path, and a red indicator flashing when the user's posture deviates beyond an acceptable threshold. This color-coded visual feedback provides an intuitive and immediate corrective signal that the user can perceive and respond to without disrupting the flow of the exercise, enhancing both safety and training effectiveness.

[0052] An environmental inspection module is installed on the housing 101 and is configured to continuously monitor the ambient environmental conditions within the gym space. The environmental inspection module comprises a temperature sensor, a hygrometer, and an air quality sensor working in coordination. The temperature sensor within the environmental module operates on the same thermistor or resistance temperature detector principle as described for the wristband body temperature sensor but is oriented to measure the ambient air temperature surrounding the device rather than skin surface temperature.

[0053] Herein, the hygrometer operates on the capacitance variation principle, wherein a hygroscopic dielectric polymer material positioned between two conductive electrodes changes its dielectric constant in response to changes in ambient relative humidity, producing a measurable shift in capacitance that is converted by signal-conditioning circuitry into a calibrated relative humidity percentage.

[0054] The air quality sensor comprises a metal oxide semiconductor sensing element that changes its electrical resistance in response to the presence and concentration of airborne pollutants including volatile organic compounds, carbon dioxide, carbon monoxide, and particulate matter. As the concentration of target gas species increases in the ambient air, the surface reactions between gas molecules and the metal oxide surface alter the density of charge carriers in the sensing layer, producing a measurable resistance change that is converted to a gas concentration estimate by the signal processor. In a gym environment, elevated carbon dioxide levels resulting from high occupancy and intense respiration, volatile organic compounds from cleaning agents, or excessive humidity from perspiration can all negatively impact user performance and health. The microcontroller continuously receives processed data from all three environmental sensors and dynamically adjusts the workout guidance recommendations accordingly.

[0055] In an exemplary embodiment of the present invention, if the ambient temperature exceeds a predefined upper threshold or if air quality degrades beyond a safe index, the microcontroller may reduce the recommended exercise intensity, extend scheduled rest intervals, or issue a notification advising the user to hydrate more frequently or temporarily pause training until conditions improve.

[0056] An LED status indicator 110 is installed on the housing 101 and is configured to provide continuous real-time operational feedback to the user and gym staff through a combination of color-coded steady and blinking light patterns. The LED status indicator 110 comprises a multi-color light-emitting diode module driven by a microcontroller-controlled pulse-width modulation circuit that independently regulates the intensity and switching pattern of each color channel. The operational states communicated through the indicator 110 include device power status, active monitoring session status, alert conditions such as low wristband inventory or detected environmental hazards, communication link status, and device error or maintenance requirement states.

[0057] In an exemplary embodiment of the present invention, a steady green light indicate normal operation with an active user session, a pulsing blue light indicate data synchronization with the connected user interface, a steady amber light indicate a low wristband inventory warning, and a flashing red light indicate a critical alert such as a detected health anomaly in the user's vital signs requiring immediate attention, thereby ensures that operational awareness is maintained at all times without requiring the user or staff to actively monitor the display panel 102.

[0058] A directional microphone array is installed on the housing 101 to enable high-precision voice command capture in the acoustically challenging environment of a gymnasium, where background noise from exercise equipment, music systems, and group activity can significantly degrade voice recognition accuracy. The directional microphone array comprises multiple miniature electret condenser microphone capsules arranged in a spatially distributed configuration on the housing 101 surface, with each capsule connected to a dedicated preamplifier and analog-to-digital converter channel feeding into a digital signal processor.

[0059] The digital signal processor applies beamforming protocols, which mathematically weight and combine the signals from each individual microphone capsule based on the time delays between the arrival of sound at each capsule, to synthesize a highly directional effective receiving pattern focused toward the user's speaking position. This beamforming process amplifies the desired voice signal while attenuating noise arriving from other directions, enabling reliable voice command recognition even in high ambient noise environments. The artificial intelligence-based voice recognition engine processes the filtered voice signal to identify spoken commands such as start session, pause session, next exercise, repeat instruction, or record notes, and relays the recognized commands to the microcontroller for execution.

[0060] Additionally, the microphone array performs artificial intelligence-based acoustic breath analysis by capturing the user's breathing sounds during exercise and processing the audio signal through a trained respiratory pattern classification model. The model analyzes features including breathing rhythm, inhalation and exhalation depth, frequency, and the ratio of inhalation to exhalation duration to classify the user's current physiological state into categories such as comfortable exertion, moderate fatigue, high fatigue, or respiratory distress. Based on the classified breathing state, the microcontroller dynamically adjusts workout intensity recommendations.

[0061] A communication module is integrated with the microcontroller and is configured to establish wireless connectivity between the gym fitness monitoring device and an external computing unit equipped with a user interface. The communication module comprises a multi-protocol wireless transceiver capable of operating across standard wireless communication protocols including Wi-Fi for high-bandwidth data exchange with local network infrastructure, Bluetooth for short-range direct pairing with user smartphones and wearable accessories, and optionally cellular connectivity for remote monitoring scenarios outside of local network coverage. Internally, the transceiver encodes processed data packets from the microcontroller, including real-time vital sign readings, posture assessment results, exercise session logs, environmental condition data, and generated alerts, and transmits them over the selected communication channel to the paired computing unit. The computing unit receives these data packets and presents them through the user interface in a structured and visually accessible format, allowing gym managers, personal trainers, or the users themselves to monitor session progress, review historical performance trends, and receive remotely generated exercise and dietary guidance adjustments. Incoming configuration commands, profile updates, or remote control instructions from the user interface are received by the communication module, decoded, and relayed to the microcontroller for execution, enabling full bidirectional remote control and monitoring capability. The communication module further incorporates data encryption protocols to secure the transmitted health and biometric data against unauthorized interception, ensuring compliance with personal health data privacy requirements.

[0062] The microcontroller embedded within the housing 101 serves as the central computational and coordination hub of the entire gym fitness monitoring device. The microcontroller integrates an artificial intelligence engine implemented through dedicated neural processing hardware or through optimized AI inference libraries running on a high-performance embedded processor. The microcontroller continuously acquires, preprocesses, and digitizes data streams from all connected sensors and modules including the examining module’s imaging unit 103, proximity sensor, infrared sensor, and first inertial measurement unit, the wristband sensor suite comprising the heart rate sensor, body temperature sensor, oxygen saturation sensor, second inertial measurement unit, respiratory sensor, surface electromyography sensor, and compact camera, the environmental inspection module comprising the temperature sensor, hygrometer, and air quality sensor, and the directional microphone array. The artificial intelligence engine performs multimodal data fusion, integrating the heterogeneous data streams from all these sources into a unified representation of the user's current physical and physiological state. Pattern recognition and anomaly detection protocols identify deviations from safe and optimal performance parameters and generate real-time corrective guidance, intensity adjustments, and health alerts. The microcontroller also coordinates the actuation of all motorized components including the omnidirectional wheel 107, the extendable support rods 106, the articulated arm 112 joints of the examining module, the motorized sliding door 108 of the wristband storage chamber 104, and the ultraviolet sterilization light source 109, ensuring synchronized and responsive operation of the complete system at all times.

[0063] The present invention works best in the following manner, where the housing 101 is positioned at desired location within gym environment and the extendable support rods 106 operate through pneumatic control to adjust height of the housing 101 according to user requirement, and the motorized omnidirectional wheel 107 assist in smooth positioning and stabilization, the interactive display panel 102 receives user health data including body weight, height, medical conditions, muscle development goals and training duration to generate personalized profile and synchronized workout schedule, upon initiation of training session the examining module mounted on top surface of the housing 101 aligns toward user and the articulated arm 112 positions the spherical ball to capture full body posture, the imaging unit 103 continuously records visual frames while the proximity sensor, infrared sensor and first IMU capture spatial orientation and movement data which are transmitted to the microcontroller integrated with AI for real time posture analysis and corrective guidance delivered through the display panel 102 and the projector 105 casting color coded posture instructions onto user body, simultaneously the wristband retrieved from dual compartment storage chamber 104 records physiological parameters through the sensor suite including heart rate, body temperature, SpO₂, respiratory activity, muscle activity and wrist motion which are processed by the microcontroller for exertion assessment and repetition counting, the environmental inspection module continuously monitors ambient temperature, humidity and air quality enabling dynamic adjustment of workout recommendations, the directional microphone array captures voice commands and breathing patterns for adaptive intensity control, the LED status indicator 110 provides operational feedback, the ultraviolet sterilization light source 109 disinfects used wristbands upon return into used compartment while proximity sensors monitor inventory levels, and the communication module maintains wireless connectivity with computing unit for remote monitoring and data synchronization throughout exercise session.

[0064] 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 gym fitness monitoring device, comprising:

i) a housing 101;
ii) an interactive display panel 102 installed on the housing 101 and configured to receive user health data inputs including body weight, height, medical conditions, specific muscle development goals and desired training durations generating personalized user profiles for customized exercise schedules and dietary plan creation with real-time synchronization to a connected user interface;
iii) an examining module mounted on the top surface of the housing 101 and configured to continuously monitor the user during training sessions and enable a microcontroller embedded in the housing 101 and integrated with AI (artificial intelligence) to analyze the data and deliver accurate responsive guidance;
iv) a dual-compartment storage chamber 104 provided with the housing 101 and configured to store used and unused wristbands separately for real-time vital monitoring via an integrated sensor suite;
v) a projector 105 mounted on the housing 101 and configured to cast color-coded visual posture guidelines, for correct exercise execution; and
vi) an environmental inspection module installed on the housing 101 and configured to monitor environmental conditions and enable the microcontroller to dynamically adjust workout guidance recommendations.

2) The gym fitness monitoring device as claimed in claim 1, wherein a plurality of extendable support rods 106 are attached to the housing 101 and each support rod coupled to a motorized omnidirectional wheel 107 configured to provide height adjustment and mobility to the housing 101.

3) The gym fitness monitoring device as claimed in claim 1, wherein the examining module comprises an articulated arm 112 coupled to a spherical ball equipped with an imaging unit 103, a proximity sensor, an infrared sensor and a first IMU (inertial measurement unit) configured to scan user posture and movements during exercise detecting position, orientation and motion in real time enabling the AI to analyze the imaging and sensor data for delivering accurate responsive guidance preventing injuries and ensuring proper exercise form.

4) The gym fitness monitoring device as claimed in claim 1, wherein the sensor suite comprises a heart rate sensor for cardiovascular exertion monitoring, a body temperature sensor for overheating and hypothermia detection, an SpO₂ (peripheral capillary oxygen saturation) sensor for respiratory monitoring, a second IMU (inertial measurement unit) for motion, acceleration and orientation tracking, a respiratory sensor for exhaled breath composition measurement, a surface electromyography sensor for muscle activity monitoring and a compact camera for wrist orientation detection, biometric authentication, gesture recognition and configured to collectively provide comprehensive physiological and biomechanical user assessment during exercise activities.

5) The gym fitness monitoring device as claimed in claim 1, wherein each compartment of the wristband storage chamber 104 is equipped with a motorized sliding door 108 for preventing contamination exposure, an ultraviolet sterilization light source 109 installed in the used wristband compartment for disinfecting the used wristbands and a proximity sensor integrated with each compartment for real-time inventory monitoring, enabling the microcontroller to generate an alert upon detection of the inventory levels falling below a predefined threshold level.

6) The gym fitness monitoring device as claimed in claim 1, wherein the environmental inspection module comprises a temperature sensor, a hygrometer, and an air quality sensor continuously monitoring ambient temperature, humidity and air quality, enabling the microcontroller to adjust workout guidance recommendations based o detected environmental conditions.

7) The gym fitness monitoring device as claimed in claim 1, wherein an LED (light emitting diode) status indicator 110 is installed on the housing 101 and configured to provide real-time color-coded and blink-pattern-based operational feedback to ensure continuous user awareness of operational status for smooth operation.

8) The gym fitness monitoring device as claimed in claim 1, wherein a directional microphone array 111 installed on the housing 101 for high-precision voice command capture in noisy gym environments with AI-based acoustic breath analysis interpreting breathing rhythm, depth and frequency to determine physiological states enabling the microcontroller to dynamically recommend workout intensity based on detected breathing patterns.

9) The gym fitness monitoring device as claimed in claim 1, wherein a communication module is integrated with the microcontroller, configured to establish wireless connectivity with a computing unit, inbuilt with a user interface, enabling remote monitoring and control of operations.