A spine and eye safety smart care system and method thereof

Abstract

The spine and eye safety smart care system comprises a distance-monitoring module(102) equipped with IR proximity sensors, enhanced with LIDAR technology to monitor the distance between the eyes of a user and a digital device or reading material; a posture-monitoring back-pad module(104) equipped with a second set of IR sensors(104A) and a first set of pressure sensors(104B) to detect and monitor a spine position with augmented precision; a seat-pad module(106) equipped with a second set of pressure sensors(106A) to monitor a user's sitting posture; a central processing unit(108) coupled to a controller(108A) interfaced with Wi-Fi module (108B) to receive monitored and detected data to determine a safe distance between the eyes of the user and the digital device or reading material and generate an alert notification upon measuring a time duration of abnormal sitting posture and eye to device distance of the user greater than a threshold time duration.

Description

[0001] A SPINE AND EYE SAFETY SMART CARE SYSTEM AND METHOD THEREOF

[0002] FIELD OF THE INVENTION

[0003] The present disclosure pertains to the field of health and ergonomics, specifically to a spine and eye safety smart care system and associated methods designed to enhance the wellbeing of students and working professionals, especially during prolonged periods of reading, writing, or digital device usage.

[0004] BACKGROUND OF THE INVENTION

[0005] In the evolving academic and professional spheres, reading and writing remain pivotal activities for school children, college students, and working professionals alike. With the advent of technological advancements, digital devices have become an indispensable tool for many, significantly changing the way information is consumed and processed. However, this reliance on technology has posed various health challenges, particularly concerning eye and spine health.

[0006] When engaging in prolonged reading, writing, or digital screen viewing, it is imperative to ensure that the eyes remain comfortable, especially given the proximity to the material or screen. Equally crucial is the posture adopted during these activities. The manner in which individuals sit, the angle and distance at which a book or digital device is held, and the overall physical posture can dramatically influence the comfort and health of their visual system and spine. The correct posture can ensure not only physical ease but also a more focused and absorbing cognitive experience.

[0007] Recent trends and observations indicate a worrisome escalation in health challenges faced by the younger generation. A growing number of school-going children are experiencing vision issues at an increasingly younger age. This is largely attributed to the extended use of digital devices and books without adhering to safe viewing distances. Additionally, the sedentary lifestyles, characterized by extended periods of sitting adopted by both students and working professionals, exacerbate these health challenges. Such behaviors, combined with improper postures, lead to heightened stress on the eyes and body. Consequently, this can manifest in a myriad of health issues, including but not limited to, deteriorating eyesight, back pain, neck pain, obesity, and even severe conditions like blood clotting, heart attacks, and an elevated risk of bowel cancer. It has become clear that proactive measures are needed to combat these looming health risks. Ensuring the correct sitting posture and encouraging regular breaks from prolonged sitting are two such preventive strategies. Recognizing this need, the proposed smart care system seeks to offer a solution. This system is designed to actively monitor and alert users to maintain a safe distance from their reading or viewing material and to adopt correct postures, ensuring the safety of their eyes, spine, and neck.

[0008] The potential impact and relevance of such a system are underscored by recent statistics. As of 2022, India alone has over 265 million students. Furthermore, global projections estimate that by 2023, there will be around 66 million full-time working professionals in the information and communication technology sectors worldwide. Given this vast user base, a system that safeguards the eyes and spine of digital device users is not just beneficial but imperative in the modern age.

[0009] In view of the foregoing discussion, it is portrayed that there is a need to have aspine and eye safety smart care system and method for students and working professionals.

[0010] SUMMARY OF THE INVENTION

[0011] The present disclosure seeks to provide a spine and eye safety smart care system and method for students and working professionals. In the current scenario of the digital world, people are spending a lot of time in front of digital screens. After the COVID- 19 pandemic, many corporate companies are adopting work from home culture due to which many working professionals are spending so many hours staring at their digital screens. Even small kids and school children are facing these eye strain problems. This can cause eye discomfort, eye strain, dry eyes, vision blurs, and headache and sometimes it may even cause vision problems like farsightedness, astigmatism, presbyopia, etc. Research shows that 50% to 90% of the people working with computers or digital screens face these symptoms. All these various symptoms come under one umbrella called Computer Vision Syndrome or Digital Eye Strain. This is due to not maintaining a healthy distance between the eyes and the digital devices while working for an extended period of time without even blinking their eyes. The proposed device will monitor the eye safety distance and alert the user if a healthy distance is not maintained for long durations. In addition to the digital eye strain, people working with digital systems for long hours also face neck, spine, and back problems due to improper sitting posture. Incorrect sitting postures for long hours may result in an increased risk of developing back pain, bowel cancer, blood clotting, heart attack, etc. The proposed system will also monitor the sitting posture of the user and it alerts through voice announcement if the poor sitting posture is detected for prolonged duration. Therefore, the integrated device in the proposed system will ensure the safety of the eyes as well as the spine of the users.

[0012] In an embodiment, a spine and eye safety smart care system is disclosed. The system includes a distance-monitoring module equipped with a first set of infrared (IR) proximity sensors, enhanced with Light Detection and Ranging (LIDAR) technology, attached to a device / user’s head to detect and monitor a distance between eyes of a user and a digital device or reading material, ensuring precise distance measurements; and a processor integrated with a machine-learning technique trained to analyze user eye-to-device distance behaviors, optimizing alerts based on individual patterns.

[0013] The system further includes a posture-monitoring back-pad module equipped with a second set of IR sensors and a first set of pressure sensors to detect and monitor a spine position with augmented precision, wherein the posture-monitoring back-pad module has integrated analytics to differentiate between various posture types and determine potential harmful postures based on extended duration.

[0014] The system further includes a seat-pad module equipped with a second set of pressure sensors to monitor a user's sitting posture by deploying the second set of pressure sensors to a plurality of positions to the seat-pad, equipped with real-time data mapping capabilities to determine accurate weight distributions and deviations from ideal sitting postures.

[0015] The system further includes a central processing unit coupled to the processor and a controller interfaced with a Wi-Fi module to receive monitored and detected data from the distance-monitoring module, posture-monitoring back-pad module, and seat-pad module to determine a safe distance between the eyes of the user and the digital device or reading material and generate an alert notification upon measuring a time duration of abnormal sitting posture and eye to device distance of the user greater than a threshold time duration to alert the user through a buzzer or voice message.

[0016] The system further includes an expandable interface connected to the central processing unit to allow multiple user profiles for personalized monitoring and alerts.

[0017] The system further includes a cloud server in wireless connection with the expandable interface via a communication device integrated to access data remotely and view or receive a personalized recommendation for ergonomic improvements. In an embodiment, a spine and eye safety smart care method is disclosed. The method includes detecting and monitoring a distance between eyes of a user and a digital device or reading material upon attaching a first set of infrared (IR) proximity sensors, enhanced with Light Detection and Ranging (LIDAR) technology, to a device / user’ s head.

[0018] The method further includes detecting and monitoring a spine position with augmented precision by deploying a second set of IR sensors and a first set of pressure sensors to a back-pad, wherein the posture-monitoring back-pad module has integrated analytics to differentiate between various posture types and determine potential harmful postures based on extended duration.

[0019] The method further includes monitoring a user's sitting posture by deploying a second set of pressure sensors to a plurality of positions to the seat-pad, equipped with real-time data mapping capabilities to determine accurate weight distributions and deviations from ideal sitting postures.

[0020] The method further includes determining a safe distance between the eyes of the user and the digital device or reading material and generating an alert notification upon measuring a time duration of abnormal sitting posture and eye-to-device distance of the user greater than a threshold time duration to alert the user through a buzzer or voice message using a controller.

[0021] The method further includes allowing multiple user profiles for personalized monitoring and alerts via an expandable interface.

[0022] The method further includes uploading and accessing data remotely and viewing or receiving a personalized recommendation for ergonomic improvements through a cloud server.

[0023] An object of the present disclosure is to monitor whether a safe distance is maintained between the user's eyes and the digital device and tomonitor their sitting postures.

[0024] Another object of the present disclosure is to alert the user through a buzzer or voice message when there is abnormal posture and a safe distance is not maintained for an extended period of time.

[0025] Yet another object of the present invention is to deliver an expeditious and cost- effective system for ensuring the safety of the eyes and the spine such that they won’t suffer eyesight problems, back pain, neck pain, and shoulder pains. To further clarify the advantages and features of the present disclosure, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which are illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope The invention will be described and explained with additional specificity and detail in the accompanying drawings.

[0026] BRIEF DESCRIPTION OF FIGURES

[0027] These and other features, aspects, and advantages of the present disclosure will become better understood when the following detailed description is read concerning the accompanying drawings in which like characters represent like parts throughout the drawings, wherein:

[0028] Figure 1 illustrates a block diagram of a spine and eye safety smart care system, in accordance with an embodiment of the present disclosure;

[0029] Figure 2 illustrates a flow chart of a spine and eye safety smart care method, in accordance with an embodiment of the present disclosure;

[0030] Figures 3A and 3B illustrates architectures of a spine and eye safety smart care system, in accordance with an embodiment of the present disclosure;

[0031] Figure 4 illustrates a process flow of a spine and eye safety smart care method, in accordance with an embodiment of the present disclosure; and

[0032] Figure 5 illustrates an exemplary profile of a working model, in accordance with an embodiment of the present disclosure.

[0033] Further, skilled artisans will appreciate those elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. For example, the flow charts illustrate the method in terms of the most prominent steps involved to help to improve understanding of aspects of the present disclosure. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.

[0034] DETAILED DESCRIPTION:

[0035] To promote an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.

[0036] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be restrictive thereof.

[0037] Reference throughout this specification to “an aspect”, “another aspect” or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrase “in an embodiment”, “in another embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[0038] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by "comprises...a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.

[0039] Embodiments of the present disclosure will be described below in detail concerning the accompanying drawings.

[0040] Referring to Figure 1, a block diagram of a spine and eye safety smart care systemis illustrated in accordance with an embodiment of the present disclosure. The system 100 includes a distance-monitoring module (102) equipped with a first set of infrared (IR) proximity sensors (102A), enhanced with Light Detection and Ranging (LIDAR) technology, attached to a device / user’s head to detect and monitor a distance between eyes of a user and a digital device or reading material, ensuring precise distance measurements.

[0041] In one embodiment, a processor (102B) is integrated with a machine-learning technique trained to analyze user eye-to-device distance behaviors, optimizing alerts based on individual patterns.

[0042] In another embodiment, a posture-monitoring back-pad module (104) is equipped with a second set of IR sensors (104A) and a first set of pressure sensors (104B) to detect and monitor a spine position with augmented precision, wherein the posture-monitoring back-pad module (104) has integrated analytics to differentiate between various posture types and determine potential harmful postures based on extended duration.

[0043] In another embodiment, a seat-pad module (106) is equipped with a second set of pressure sensors (106A) to monitor a user's sitting posture by deploying the second set of pressure sensors (106A) to a plurality of positions to the seat-pad, equipped with real-time data mapping capabilities to determine accurate weight distributions and deviations from ideal sitting postures.

[0044] In another embodiment, a central processing unit (108) is coupled to the processor (102B) and a controller (108A) interfaced with a Wi-Fi module (108B) to receive monitored and detected data from the distance-monitoring module (102), posture-monitoring back-pad module (104), and seat-pad module (106) to determine a safe distance between the eyes of the user and the digital device or reading material and generate an alert notification upon measuring a time duration of abnormal sitting posture and eye to device distance of the user greater than a threshold time duration to alert the user through a buzzer or voice message.

[0045] In another embodiment, an expandable interface (110) is connected to the central processing unit (108) to allow multiple user profiles for personalized monitoring and alerts.

[0046] In another embodiment, a cloud server (112) is in wireless connection with the expandable interface (110) via a communication device integrated to access data remotely and view or receive a personalized recommendation for ergonomic improvements.

[0047] In another embodiment, the seat-pad module (106) further comprises an integrated haptic feedback mechanism to provide gentle physical nudges, prompting posture adjustments.

[0048] In another embodiment, system 100 further comprises an adaptive feedback system leveraging artificial intelligence to optimize alert timings and frequencies based on user habits and sensitivities.

[0049] In one embodiment, an integrated application compatible with various digital devices is used to offer insights, statistics, and recommendations based on collected data, enhancing user awareness and fostering preventive actions.

[0050] In another embodiment, the distance-monitoring module (102), posture-monitoring back-pad module (104), seat-pad module (106), and central processing unit (108) is coupled to at least one battery management system to ensure prolonged and uninterrupted usage, especially in professional settings.

[0051] In another embodiment, system 100 further comprises a client-server architecture extension to accommodate office environments, permitting real-time monitoring of multiple users simultaneously and sending customized notifications for posture and eye safety improvements. In another embodiment, system 100 further comprises a customizable alert system including voice notifications, to inform the user about prolonged posture deviations or unsafe eye-to-device distances.

[0052] In another embodiment, the central processing unit (108) further comprisesan interfacing mechanism to establish a bi-directional communication with the Wi-Fi module (108B) to continuously receive and buffer incoming data from the distance-monitoring module (102), posture-monitoring back-pad module (104), and seat-pad module (106).

[0053] In one embodiment, a data aggregation and analysis module is used to consolidate incoming data and sort based on time stamps and sensor type thereby analyze deviations from ideal sitting postures and unsafe eye-to-device distances over a specified duration and calculate risk indices based on received posture data and eye-to-device distance, allowing for real-time tracking of potential health risks.

[0054] In one embodiment, a notification generation mechanism is equipped with threshold parameters, determining when a user's sitting duration or eye-to-device distance exceeds safety limits.

[0055] In one embodiment, a customizable alert system is used to generate notifications based on detected deviations, user preferences, and established safety guidelines, wherein the controller (108A) is interfaced to process received data and control the flow of operations, ensuring efficient and timely alert notifications.

[0056] In another embodiment, the data aggregation and analysis module further employs machine learning techniques to continuously refine and adapt techniques based on historical data, promoting a personalized user experience and enhanced safety predictions.

[0057] In another embodiment, the controller activates the first set of infrared (IR) proximity sensors (102A), enhanced with Light Detection and Ranging (LIDAR) technology to emit infrared light and LIDAR laser pulses towards the digital device or reading material the user is interacting with to collect the reflected signals from both the infrared and LIDAR sources for processing the reflected signals to determine the precise distance between the user's eyes and the digital device or reading material.

[0058] In another embodiment, the controller activates the second set of IR sensors (104A) to emit infrared light towards the user's back and to the reflected signals from the IR sensors, interpreting the curve and alignment of the user's spine and continuously measure the pressure exerted on different parts of the back-pad using the first set of pressure sensors (104B) to determine how the user's weight is distributed, further refining the interpretation of the spine's posture, wherein the duration of each identified posture is monitored to detect harmful posture.

[0059] Figure 2 illustrates a flow chart of a spine and eye safety smart care method, in accordance with an embodiment of the present disclosure. At step 202, method 200 includes detecting and monitoring a distance between eyes of a user and a digital device or reading material upon attaching a first set of infrared (IR) proximity sensors (102 A), enhanced with Light Detection and Ranging (LIDAR) technology, to a device / user’ s head.

[0060] At step 204, method 200 detecting and monitoring a spine position with augmented precision by deploying a second set of IR sensors (104A) and a first set of pressure sensors (104B) to a back-pad, wherein the posture-monitoring back-pad module (104) has integrated analytics to differentiate between various posture types and determine potential harmful postures based on extended duration.

[0061] At step 206, method 200 monitoring a user's sitting posture by deploying a second set of pressure sensors (106A) to a plurality of positions to the seat-pad, equipped with real-time data mapping capabilities to determine accurate weight distributions and deviations from ideal sitting postures

[0062] At step 208, method 200 determining a safe distance between the eyes of the user and the digital device or reading material and generating an alert notification upon measuring a time duration of abnormal sitting posture and eye-to-device distance of the user greater than a threshold time duration to alert the user through a buzzer or voice message using a controller (108A).

[0063] At step 210, method 200 allowing multiple user profiles for personalized monitoring and alerts via an expandable interface (110).

[0064] At step 212, method 200 uploading and accessing data remotely and viewing or receiving a personalized recommendation for ergonomic improvements through a cloud server (112). In another embodiment, monitoring user-eye distance and posture using the controller, comprising the steps of activating a first set of infrared (IR) proximity sensors (102A) enhanced with Light Detection and Ranging (LIDAR) technology and emitting infrared light and LIDAR laser pulses towards a digital device or reading material the user is interacting with. Then, collecting reflected signals from both the infrared and LIDAR sources and processing the reflected signals to determine the precise distance between the user's eyes and the digital device or reading material. Then, activating a second set of IR sensors (104A) using the same controller and emitting infrared light towards the user's back and collecting reflected signals from the IR sensors. Then, interpreting the curve and alignment of the user's spine based on the reflected signals and measuring pressure exerted on different parts of a back pad using a first set of pressure sensors (104B). Thereafter, analyzing the pressure data to determine user weight distribution refining the interpretation of the spine's posture monitoring the duration of each identified posture and detecting any potentially harmful posture based on the analyzed data.

[0065] In another embodiment, method 200 includes further comprises providing haptic feedback based on detected posture deviations, prompting the user to make posture adjustments. Then, employing an adaptive feedback system leveraging artificial intelligence techniques to tailor alert timings and frequencies according to user habits sensitivities. Then, offering users insights, statistics, and recommendations through an integrated application compatible with various digital devices, fostering awareness and preventive behaviors. Then, initiating customizable alerts, inclusive of voice notifications, to inform users regarding detected prolonged posture deviations or unsafe eye-to-device distances. Then, consolidating and analyzing incoming data in real-time, determining risk indices based on posture and eye- to-device distance to track potential health threats. Thereafter, adapting and refining data analysis techniques using machine learning based on historical data for enhanced safety predictions and user personalization.

[0066] Figures 3A and 3B illustrates architectures of a spine and eye safety smart care system, in accordance with an embodiment of the present disclosure. In the proposed device, LIDARs are used in place of Ultrasonic or IR sensors to detect the safety distance between the eyes and digital devices. LIDAR-based eye safety distance measurement is very precise and accurate and so it will enable the user by giving necessary alerts through voice messages if there is any abnormality detected in the eye safety distance. This device is also integrated with a sitting posture monitoring system with a seat and back pad accompanied by pressure sensors and IR sensors to monitor the correct posture and observe the deviations so that the device can alert the user with timely reminders in the form of voice messages. The whole unit is very useful to all the working professionals in the ICT sectors as well as students. This integrated system can also be extended as a client server model suitable for an office situation where multiple users’ eye safety distances and sitting postures can be monitored and can send voice messages to individual users when there are deviations in eye safety distance and sitting postures. This device has a high potential to safeguard the eyes and spine of the user and contribute the health and well being of the society as a whole and reduce the global burden of health risks.

[0067] Figure 4 illustrates a process flow of a spine and eye safety smart care method, in accordance with an embodiment of the present disclosure.

[0068] Figure 5 illustrates an exemplary profile of a working model, in accordance with an embodiment of the present disclosure. The proposed system consists of three sensory modules. Module- 1 uses IR proximity sensors attached to the device / user’s head to monitor the safe distance between the eyes and the object of reading / writing. Module 2 consists of IR and pressure sensors attached to the back pad to monitor the spine position. Module 3 consists of pressure sensors placed on the seat-pad to monitor the sitting posture. An advanced micro controller (108A) with a Wi-Fi module (108B) is used to collect and process the data from these sensor modules. Based on the acquired sensor data, the duration in which the user is in abnormal posture is measured and the user is alerted with a voice message. It also monitors the eye safety distance and if the user is not maintaining the eye safety distance for a significant amount of time, this will alert the user through voice messages.

[0069] The drawings and the forgoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts necessarily need to be performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples. Numerous variations, whether explicitly given in the specification or not, such as differences in structure, dimension, and use of material, are possible. The scope of embodiments is at least as broad as given by the following claims.

[0070] Benefits, other advantages, and solutions to problems have been described above about specific embodiments. However, the benefits, advantages, solutions to problems, and any component(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature or component of any or all the claims.

Claims

CLAIMS1. A spine and eye safety smart care system, the system comprises: a) a distance-monitoring module (102) equipped with: i. afirst set of infrared (IR) proximity sensors (102A), enhanced with Light Detection and Ranging (LIDAR) technology, attached to a device / user’s head to detect and monitor a distance between eyes of a user and a digital device or reading material, ensuring precise distance measurements; ii. a processor (102B) integrated with a machine-learning technique trained to analyze user eye-to-device distance behaviors, optimizing alerts based on individual patterns; b) a posture-monitoring back-pad module (104) equipped witha second set of IR sensors (104A) and a first set of pressure sensors (104B)to detect and monitora spine position with augmented precision, wherein theposture-monitoring back-pad module (104) has integrated analytics to differentiate between various posture types and determine potential harmful postures based on extended duration; c)aseat-pad module (106)equipped with a second set of pressure sensors (106A) to monitor a user's sitting posture by deployingthe second set of pressure sensors (106A) to a plurality of positions to the seat-pad, equipped with real-time data mapping capabilities to determine accurate weight distributions and deviations from ideal sitting postures; d)acentral processing unit (108)coupled to the processor (102B) and acontroller (108A) interfaced with a Wi-Fi module (108B)to receive monitored and detected data from the distance-monitoring module (102), posture-monitoring back-pad module (104), and seatpad module (106) to determine a safe distance between the eyes of the user and the digital device or reading materialand generate an alert notification upon measuring a time duration of abnormal sitting postureand eye to device distance of the user greater than a threshold time duration to alert the user through a buzzer or voice message; e)an expandable interface (110) connected to the central processing unit (108) to allow multiple user profiles for personalized monitoring and alerts; and f) a cloud server (112) in wireless connection with the expandable interface (110) via a communication deviceintegratedtoaccess data remotely and view or receive a personalized recommendation for ergonomic improvements.

2. The system as claimed in claim 1, wherein the seat-pad module (106) further comprises an integrated haptic feedback mechanism to provide gentle physical nudges, prompting posture adjustments.

3. The system as claimed in claim 1, further comprises: an adaptive feedback system leveraging artificial intelligence to optimize alert timings and frequencies based on user habits sensitivities; and an integrated application compatible with various digital devices to offer insights, statistics, and recommendations based on collected data, enhancing user awareness and fostering preventive actions.

4. The system as claimed in claim 1, wherein the distance-monitoring module (102), posture-monitoring back-pad module (104), seat-pad module (106), and central processing unit (108) is coupled to at least one battery management system to ensure prolonged and uninterrupted usage, especially in professional settings.

5. The system as claimed in claim 1, wherein the controller activates the first set of infrared (IR) proximity sensors (102A), enhanced with Light Detection and Ranging (LIDAR) technology to emit infrared light and LIDAR laser pulses towards the digital device or reading material the user is interacting with to collect the reflected signals from both the infrared and LIDAR sources for processing the reflected signals to determine the precise distance between the user's eyes and the digital device or reading material.

6. The system as claimed in claim 1, wherein the controller activates the second set of IR sensors (104A) to emit infrared light towards the user's back and to the reflected signals from the IR sensors, interpreting the curve and alignment of the user's spine and continuously measure the pressure exerted on different parts of the back-pad using the first set of pressure sensors (104B) to determine how the user's weight is distributed, further refining the interpretation of the spine's posture, wherein the duration of each identified posture is monitored to detect harmful posture.

7. The system as claimed in claim 1, wherein the central processing unit (108) further comprises:an interfacing mechanism to establish a bi-directional communication with the Wi-Fi module (108B) to continuously receive and buffer incoming data from the distancemonitoring module (102), posture-monitoring back-pad module (104), and seat-pad module (106); a data aggregation and analysis module to consolidate incoming data and sort based on time stamps and sensor type thereby analyze deviations from ideal sitting postures and unsafe eye-to-device distances over a specified duration and calculate risk indices based on received posture data and eye-to-device distance, allowing for real-time tracking of potential health risks; a notification generation mechanism equipped with threshold parameters, determining when a user's sitting duration or eye-to-device distance exceeds safety limits; a customizable alert system to generate notifications based on detected deviations, user preferences, and established safety guidelines; and wherein the controller (108A)is interfaced to process received data and control the flow of operations, ensuring efficient and timely alert notifications.

8. The system as claimed in claim 7, wherein the data aggregation and analysis module further employs machine learning techniques to continuously refine and adapt techniques based on historical data, promoting a personalized user experience and enhanced safety predictions.

9. A spine and eye safety smart care method, the method comprises: a) detecting and monitoring a distance between eyes of a user and a digital device or reading material upon attaching a first set of infrared (IR) proximity sensors (102A), enhanced with Light Detection and Ranging (LIDAR) technology, to a device / user’s head; b) detecting and monitoring a spine position with augmented precision by deploying a second set of IR sensors (104 A) and a first set of pressure sensors (104B) to a back-pad, wherein the posture-monitoring back-pad module (104) has integrated analytics to differentiate between various posture types and determine potential harmful postures based on extended duration; c) monitoring a user's sitting posture by deploying a second set of pressure sensors (106A) to a plurality of positions to the seat-pad, equipped with real-time data mapping capabilities to determine accurate weight distributions and deviations from ideal sitting postures;d) determining a safe distance between the eyes of the user and the digital device or reading material and generating an alert notification upon measuring a time duration of abnormal sitting posture and eye-to-device distance of the user greater than a threshold time duration to alert the user through a buzzer or voice message using a controller (108A); e) allowing multiple user profiles for personalized monitoring and alerts via an expandable interface (110); and f) uploading and accessing data remotely and viewing or receiving a personalized recommendation for ergonomic improvements through a cloud server (112).

10. The method as claimed in claim 9, wherein monitoring user-eye distance and posture using the controller, comprising the steps of: activating a first set of infrared (IR) proximity sensors (102 A) enhanced with Light Detection and Ranging (LIDAR) technology and emitting infrared light and LIDAR laser pulses towards a digital device or reading material the user is interacting with; collecting reflected signals from both the infrared and LIDAR sources and processing the reflected signals to determine the precise distance between the user's eyes and the digital device or reading material; activating a second set of IR sensors (104A) using the same controller and emitting infrared light towards the user's back and collecting reflected signals from the IR sensors; interpreting the curve and alignment of the user's spine based on the reflected signals and measuring pressure exerted on different parts of a back pad using a first set of pressure sensors (104B); and analyzing the pressure data to determine user weight distribution refining the interpretation of the spine's posture monitoring the duration of each identified posture and detecting any potentially harmful posture based on the analyzed data.

Images