Patent Application
20250135280
The disclosure relates to physical fitness. More particularly, the disclosure relates to a system and method for tracking and measuring body flexibility and balance during physical activity.
Physical activity is a fundamental aspect of maintaining a healthy lifestyle. It encompasses bodily movement produced by skeletal muscles that requires energy expenditure. There are several types of physical activities that are performed by an individual and yoga is a specific type of physical activity that has gained popularity worldwide. Yoga involves a combination of body postures, known as asanas, along with breathing exercise and is practiced by millions of people worldwide to achieve physical and mental well-being. While yoga offers many benefits, individuals practicing yoga may face challenges in performing the poses correctly and tracking their progress in terms of balance and flexibility over time. This can hinder their ability to fully reap the benefits of yoga practice.
Although there are various technologies that provide a yoga mode to measure metrics such as total time, average time, active time, heart rate ranges, and calories burnt, these technologies fail to provide an accurate assessment of correct yoga asanas, flexibility, and balance.
Therefore, there is a crucial need for a system or method that can accurately track and measure the body's flexibility and balance during the yoga.
Numerous prior art solutions exist that disclose about tracking the body posture of the user during the physical activity.
The related art discloses posture and motion monitoring using mobile devices. The related art further discloses a method that includes obtaining motion data from at least one motion sensor worn by a user, acquiring at least one frame of skeletal data of the user based on camera data or depth data, calibrating the motion data and skeletal data using at least one processor to determine a calibration offset, synchronizing the motion data and skeletal data and generating a body pose of the user with the at least one processor by aligning the reference frames of the synchronized motion data and synchronized skeletal data using the calibration offset, estimating the body pose of the user based on the aligned motion data and skeletal data and classifying the estimated body pose of the user using a machine learning model.
However, the related art does not disclose tracking and determining the body posture of the user during performance of the selected yoga asana using sensor data captured from wearable devices and providing real-time guidance for accurate execution. Further, the related art is silent about determining flexibility and balancing of the user using data captured from wearable devices during the yoga practice. In addition, the related art is silent about achieving transition of flexibility and balance from a beginner to an expert level based on the user's performance in the selected yoga asana.
Further, the related art discloses a yoga exercise body evaluation method and system. The prior art further discloses the yoga exercise method and the system are combined with the yoga style to evaluate body style of the user, and formulate a targeted yoga exercise scheme based on the user's body condition. The method includes obtaining yoga action posture information of a user and classifying it according to preset posture information for each evaluation dimension to generate dimension posture classification information, evaluating each yoga action posture of the user according to the dimension posture classification information and a preset body type evaluation standard for each evaluation dimension to generate body evaluation information for the user.
However, the related art does not disclose tracking and determining the body posture of the user during performance of the selected yoga asana using sensor data captured from wearable devices and providing real-time guidance for accurate execution. Further, the related art is silent about determining flexibility and balancing of the user using data captured from wearable devices during the yoga practice. In addition, the related art is silent about achieving transition of flexibility and balance from a beginner to an expert level based on the user's performance in the selected yoga asana.
Therefore, in light of the foregoing discussion, there exists a need to overcome the aforementioned drawbacks associated with the existing system and method for tracking and measuring body flexibility and balance of the user during physical activity.
The above information is presented as background information only to assist with an understanding of the disclosure. No determination has been made, and no assertion is made, as to whether any of the above might be applicable as prior art with regard to the disclosure.
Aspects of the disclosure are to address at least the above-mentioned problems and/or disadvantages and to provide at least the advantages described below. Accordingly, an aspect of the disclosure is to provide a system and method for tracking and measuring body flexibility and balance during physical activity.
Additional aspects will be set forth in part in the description which follows and, in part, will be apparent from the description, or may be learned by practice of the presented embodiments.
In accordance with an aspect of the disclosure, a method for tracking and measuring body flexibility and balance of a user during physical activity is provided. The method includes capturing sensor data from a plurality of wearable devices for tracking and determining body posture, analyzing the captured sensor data to determine a plurality of parameters including information related to body posture and physical metrics including balance and flexibility, and displaying a balance score, a flexibility score, and transition over time based on the analysis.
The method further includes analyzing the captured sensor data for determining a plurality of parameters including at least, but not limited to, information related to body posture and physical metrics such as balance and flexibility. In one embodiment, the analysis of the captured sensor data is performed for determining the plurality of parameters in steps, which include computing tilt angle using the sensor data captured from each of the wearable devices, combining all the computed tilt angles and mapping the combined tilt angle with tilt angle range of predefined poses of selected yoga asana from a database for determining user's current body posture, determining next body posture of the selected yoga asana by matching the determined current body posture with sequence of predefined postures from the database, and analyzing the sensor data for calculating the flexibility score that indicates degree of posture achieved by the user for the selected yoga asana and the balance score of current body posture and determining level of flexibility and balance of the body.
The balance score is calculated by determining variations in the sensor data and the level of flexibility and balance of the body includes beginner, intermediate and expert level. In an embodiment, the flexibility score and the balance score are stored in the database for future reference and guidance to the user. Thereafter, the steps include achieving transition of the level of flexibility and balance from beginner to expert level based on the user's performance in the selected yoga asana.
The transition of the level of flexibility and balance from the beginner to expert level is achieved by performing steps that includes recording duration of holding the posture of selected yoga asana and guiding the user to maintain the posture for a time duration based on personalized proficiency level of the user. The time duration guided to the user is calculated based on standard holding time of the posture for a yoga expert, previous time durations of holding the posture for the user, and current proficiency level of the user. In one embodiment, guidance is provided through wearable devices, such as audio cues and/or vibrations from the earbuds and vibrations from the smart watch.
The steps further include tracking the posture attained by the user while performing the selected yoga asana and guiding the user to change and attain the next posture correctly in sequence and providing real-time guidance to the user through audio to perform the posture accurately by analyzing and comparing the tilt angles computed for the user with stored data of the yoga expert. In one embodiment, an alarm is triggered in case the user attains a wrong posture.
In accordance with another aspect of the disclosure, a system for tracking and measuring body flexibility and balance of a user during physical activity is provided. The system includes a yoga pose input unit configured to enable the user to select a yoga asana as a physical activity, wherein the user selects the yoga asana using an electronic device, a sensor processing unit configured to capture sensor data from a plurality of wearable devices and compute a plurality of tilt angles, wherein the sensor data refers to plurality of motion sensor data, which is captured from wearable devices including a smart watch and earbuds, T a posture sensing unit configured to determine the user's current body posture and next body posture of the selected yoga asana, a physical metrics analytics unit configured to analyze the sensor data and calculate a flexibility score and a balance score of current body posture and determine a level of flexibility and balance of the body, and an instruction unit configured to achieve transition of the level of flexibility and balance from beginner to expert level based on the user's performance in the selected yoga asana.
In accordance with another aspect of the disclosure, one or more non-transitory computer-readable storage media storing one or more computer programs including computer-executable instructions that, when executed by one or more processors of an electronic device, cause the electronic device to perform operations are provided. The operations include capturing, during physical activity, sensor data from a plurality of wearable devices for tracking and determining body posture, analyzing the captured sensor data to determine a plurality of parameters including information related to body posture and physical metrics such as balance and flexibility, and displaying a balance score, a flexibility score, and transition over time based on the analysis.
Other aspects, advantages, and salient features of the disclosure will become apparent to those skilled in the art from the following detailed description, which, taken in conjunction with the annexed drawings, discloses various embodiments of the disclosure.
The above and other aspects, features, and advantages of certain embodiments of the disclosure will be more apparent from the following description taken in conjunction the accompanying drawings, in which:
The same reference numerals are used to represent the same elements throughout the drawings.
The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of various embodiments of the disclosure as defined by the claims and their equivalents. It includes various specific details to assist in that understanding, but these are to be regarded as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the various embodiments described herein can be made without departing from the scope and spirit of the disclosure. In addition, descriptions of well-known functions and constructions may be omitted for clarity and conciseness.
The terms and words used in the following description and claims are not limited to the bibliographical meanings, but are merely used by the inventor to enable a clear and consistent understanding of the disclosure. Accordingly, it should be apparent to those skilled in the art that the following description of various embodiments of the disclosure is provided for illustration purposes only and not for the purpose of limiting the disclosure as defined by the appended claims and their equivalents.
It is to be understood that the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to “a component surface” includes reference to one or more of such surfaces.
Furthermore, in the description, references to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosure. The appearance of the phrase “in one embodiment” in various places in the specification is not necessarily referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Further, the terms “a” and “an” used herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Moreover, various features are described which may be exhibited by some embodiments and not by others. Similarly, various requirements are described, which may be requirements for some embodiments but not for other embodiments.
Yoga, an ancient practice that originated in India, has gained immense popularity worldwide for its numerous physical, mental, and spiritual benefits. With its roots dating back thousands of years, yoga provides a holistic approach to health and well-being.
One of the primary reasons people are drawn to yoga is its ability to provide physical fitness. Yoga encompasses various styles, each with its own unique focus and approach such as Uttanasana, UgraAsana, NagaAsana which are known asanas to improve flexibility, strength, and balance.
Furthermore, beyond the physical benefits, yoga also offers a myriad of mental and emotional benefits. The practice encourages mindfulness and self-awareness to reduce stress, anxiety, and depression. However, it is important to practice yoga correctly in order to fully enjoy the benefits of a healthier and more balanced life.
The disclosure aims to provide guidance on practicing yoga correctly and ensuring that individuals achieve maximum benefits by following proper techniques and aligning the body and breath.
It should be appreciated that the blocks in each flowchart and combinations of the flowcharts may be performed by one or more computer programs which include instructions. The entirety of the one or more computer programs may be stored in a single memory device or the one or more computer programs may be divided with different portions stored in different multiple memory devices.
Any of the functions or operations described herein can be processed by one processor or a combination of processors. The one processor or the combination of processors is circuitry performing processing and includes circuitry like an application processor (AP, e.g. a central processing unit (CPU)), a communication processor (CP, e.g., a modem), a graphics processing unit (GPU), a neural processing unit (NPU) (e.g., an artificial intelligence (AI) chip), a Wi-Fi chip, a Bluetooth® chip, a global positioning system (GPS) chip, a near field communication (NFC) chip, connectivity chips, a sensor controller, a touch controller, a finger-print sensor controller, a display drive integrated circuit (IC), an audio CODEC chip, a universal serial bus (USB) controller, a camera controller, an image processing IC, a microprocessor unit (MPU), a system on chip (SoC), an integrated circuit (IC), or the like.
Referring to
Any process descriptions or blocks in flowcharts should be understood as representing segments, modules, or portions of code that include one or more executable instructions for implementing specific logical functions or steps in the process, and alternate implementations are included within the scope of the example embodiments in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved. In addition, the process descriptions or blocks in the flow charts should be understood as representing decisions made by a hardware structure such as a state machine. The flow diagram starts at operation 102 and proceeds to operation 106.
At operation 102, sensor data is captured from a plurality of wearable devices for tracking and determining body posture. The sensor data may be plurality of motion sensor data, which is captured from wearable devices such as a smart watch and earbuds. The plurality of motion sensor data may be collected from multiple types of motion sensors, including at least but not limited to accelerometers, gyroscopes, and magnetometers, which are integrated into the wearable devices to capture and measure movement.
It is important to note that accelerometers are designed to measure acceleration, which is the rate of change of velocity per unit of time. The accelerometers are capable of detecting both linear acceleration i.e. movement in a straight line and gravitational acceleration i.e. the force that attracts a body toward the center of the Earth for providing valuable information about motion, orientation, and physical activity of the user.
The gyroscopes are integrated to track and measure angular velocity, rotation, and orientation. The gyroscopes generally provide information about the device's angular position and angular movement in three-dimensional space.
The magnetometers are designed to detect and measure changes in magnetic fields. They work in conjunction with other sensors, such as accelerometers and gyroscopes, to track and determine body posture. By combining data from multiple motion sensors, it is possible to obtain a more comprehensive understanding of motion patterns and behaviors of the user's body.
Successively, the captured sensor data is analyzed, at operation 104, for determining a plurality of parameters including at least, but not limited to, information related to body posture and physical metrics such as balance and flexibility. The analysis of the captured sensor data may be performed in a series of operations, as shown in
Referring to
The accelerometer sensor that is one of the motion sensors in the wearable devices measure acceleration, including gravitational acceleration, which allows for the calculation of the tilt angle. By analyzing the acceleration data along different axes typically in x, y, and z axes, the orientation of the wearable device is determined.
The analysis method further includes combining all the computed tilt angles and mapping the combined tilt angle with tilt angle range of predefined poses of selected yoga asana, at operation 204, for determining user's current body posture. In one embodiment these predefined poses and their corresponding tilt angle ranges may be stored in a database.
The analysis method further includes determining next body posture of the selected yoga asana, at operation 206. The next body posture is determined by matching the determined current body posture with sequence of predefined postures from the database.
The analysis method further includes analyzing the sensor data for calculating the flexibility and the balance score of current body posture and determining level of flexibility and balance of the body, at operation 208. The sensor data may be analyzed to calculate flexibility and balance score of current body posture and to determine level of flexibility and balance of the body. The flexibility score indicates degree of posture achieved by the user for the selected yoga asana. It should be noted that the flexibility refers to range of motion available at a joint or a group of joints. It is the ability of muscles and joints to move through their full range without discomfort or restriction. Good flexibility allows for smooth and unrestricted movement, enhances performance in physical activities, and reduces the risk of injuries. The level of flexibility includes beginner, intermediate and expert level.
The balance score is calculated by determining variations in the sensor data. It should be noted that the balance refers to ability to maintain control and stability of the body's position, whether it is stationary or in motion. It involves the coordination of multiple systems, including the musculoskeletal, sensory, and nervous systems. Good balance is crucial for yoga, especially for poses that require stability and maintaining postural alignment. The level of balance includes various levels such as beginner, intermediate, and expert. A lower balance score or higher variations in the score indicate user instability, placing them in the beginner level of balance. Conversely, higher balance scores indicate better stability and control, placing individuals at a more advanced level of balance, such as intermediate or expert. The flexibility score and the balance score are stored in the database for future reference and guidance to the user.
Furthermore, the analysis method includes achieving transition of the level of flexibility and balance from beginner to expert level, at operation 210, based on the user's performance in the selected yoga asana. The transition may be facilitated by providing personalized guidance and real-time feedback through wearable devices to help users maintain correct postures and improve their proficiency over time.
Referring back to
Referring to
As depicted, the system 300 comprises a yoga pose input module 302 which is configured for enabling the user to select a yoga asana, wherein the user selects the yoga asana using an electronic device. According to various embodiments of the disclosure, the electronic device may include a mobile phone, computer, laptop, notebook, and any other device which includes a processing module and a user interface for enabling the user to select the yoga asana. The electronic device is also capable of connecting to the wearable devices through any communication means including at least, but not limited to, Bluetooth.
The system 300 further comprises a sensor processing module 304 for capturing sensor data from a plurality of wearable devices and computing tilt angle. In one embodiment, the sensor data refers to a plurality of motion sensor data, which is captured from the wearable devices such as a smart watch and earbuds. The sensor processing module 304 is described below with respect to
Referring to
In Equations 1 and 2, ax, ay, and az are the acceleration data along x, y, and z axis.
In another embodiment, the tilt angles may be computed using the sensor data by utilizing other than above mentioned equation.
Referring back to
Referring to
Referring to
It is important to note that the database contains the tilt angle range for all the predefined poses of all the yoga asanas. For example, in case of the Uttanasana yoga asana, the database contains angle ranges, which is disclosed in Table 1 as shown below:
As disclosed, for pose 1, the angle range for the smart watch should be 70 to 90 degrees, −10 to 10 degrees, and −10 to 10 degrees. The angle range for one of the earbuds, either left or right, should be 15 to 25 degrees, 50 to 70 degrees, and −30 to −10 degrees and for the other earbud, the angle range should be −25 to −15 degrees, 70 to 78 degrees, and −20 to 0 degrees. Similarly, the angle ranges for other poses are also stored in the database.
The posture sensing module 306 further includes a posture state machine 504. The posture state machine 504 is configured for determining next body posture of the selected yoga asana. In one embodiment, the next body posture is determined by matching the determined current body posture, received from the posture data coalition 502, with a sequence of predefined postures or poses stored in the database. In addition current posture stay time is extracted from the database based on the determined current body posture for guiding the next posture of the selected yoga asana.
The database may also contain a sequence of poses for different yoga asana and information disclosing pose time, flexibility and balance weight for each pose of the yoga asana. In an embodiment, Tables 2 and 3 discloses information about Uttanasana yoga asana as shown below:
As shown in Table 2, different yoga asanas such as, but not limited to, Uttanasana, Ugraasana, and Nagaasana and their respective poses are stored in the database.
As shown in Table 3, specific information such as posture time, flexibility and balance weights related to each pose of the yoga asana is stored in the database.
Referring to
Thereafter, the method includes determining next body posture of the selected yoga asana by matching the determined current body posture with sequence of predefined postures from the database, at operation 604.
The system 300 further comprises a physical metrics analytics module 308, which is configured for analyzing the sensor data and calculating the flexibility and the balance score of current body posture and determining level of flexibility and balance of the body. According to an embodiment described below with respect to
Referring to
The flexibility analyzer 702 assesses the extent to which the current body posture exhibits flexibility by analyzing factors such as joint mobility, muscle length, and range of motion and uses this information to calculate a flexibility score. The flexibility score indicates how well the user is able to achieve and maintain the current body posture. The flexibility analyzer 702 further determines the level of flexibility which includes beginner, intermediate and expert level, as depicted in
Referring to part “A” of
Referring to part “B” of
Referring to part “C” of
The balance analyzer 704 analyzes the sensor data captured from the wearable devices to calculate the balance score of the current body posture. In one embodiment, the balance analyzer 704 calculates the balance and stability of the current body posture by determining variations in the sensor data using the equation 4 given below:
In Equation 4, X represents observation or value of the sensor data at a particular instant, n represents the total number of observations.
It should be noted that the balance score indicates how well the user is able to maintain equilibrium and control during the posture.
The balance analyzer 704 further determines level of balance which includes beginner, intermediate, and expert levels.
Referring to
By continuously analyzing the input from the posture sensing module, the flexibility analyzer and balance analyzer provide scores on the user's flexibility and balance in real-time, which are then stored in the database for future reference and further guidance to the user.
According to another embodiment of the disclosure, the balance and stability of the current body posture may be calculated by analyzing factors such as weight distribution, alignment, and control.
Table 4 discloses different examples of user personalized data including flexibility and balance scores for the user with respect to different body postures.
As disclosed, when the user is in pose 1 for time duration of 2 seconds, the physical metrics analytics module 308 determines the flexibility score of 10 and the balance score of 10. This indicates a high level of flexibility and good balance of the user in the pose 1.
Similarly, when the user is in pose 2 for time duration of 3 seconds, the physical metrics analytics module determines the flexibility score of 8 and the balance score of 8. This indicates a slightly lower flexibility score and balance score compared to pose 1.
In the case of pose 3, when the user maintains the pose for time duration of 18 seconds, the physical metrics analytics module determines the flexibility score of 7 and the balance score of 8. This indicates a slightly lower flexibility score, but the balance score remains consistent with pose 2. It suggests that the user may need to work on improving their flexibility in pose 3 while maintaining good balance.
According to an embodiment of the disclosure, the physical metrics analytics module 308 may further display the balance and flexibility scores to the user through the wearable device or the electronic device.
Furthermore, the physical metrics analytics module 308 further provides a level based on the level of flexibility and balance as shown in Table 5 below:
As shown in Table 5, if both flexibility and balance are determined as beginner or if one level is intermediate and another is determined as beginner, the level may be beginner. If either both balance and flexibility are determined as intermediate or if one level is expert and another is determined as beginner, the level may be intermediate. Finally, if both balance and flexibility are determined as expert or if one level is expert and another is determined as intermediate, the level may be expert.
The system further comprises an instruction module 310, which is configured to achieve transition of the level of flexibility and balance from beginner to expert level based on the user's performance in the selected yoga asana and display the transition of the level over time to the user through the wearable device or the electronic device. The instruction module 310 is described below with respect to
Referring to
Referring to
For instance, the beginner user may be guided to stay in pose 1, pose 2, and pose 3 of the Uttanasana for about 5 seconds, 6 seconds, and 8 seconds respectively depending upon the standard holding time of the posture 3-5 and previous time durations of holding the posture for the user 3 seconds, 4 seconds, and 5 seconds.
Intermediate user may be guided to stay in pose 1, pose 2, and pose 3 of the Uttanasana for duration of 15 seconds, 20 seconds, and 30 seconds respectively and while expert may be guided to comfortably hold the posture for 45 seconds, 55 seconds, and 60 seconds.
These determinations may be calculated based on historic time duration of the user for holding the posture, standard holding time and proficiency level of the user. By tailoring the duration to each individual, it allows for a more customized and effective practice of the yoga posture. In one embodiment, the guidance is provided through wearable devices, such as audio cues and/or vibrations from the earbuds and vibrations from the smart watch.
The instruction module 310 further includes a posture changing guide 804 configured for tracking the posture attained by the user while performing the selected yoga asana and guiding the user to change and attain the next posture correctly in sequence, as depicted in
Referring to part “A” of
The posture changing guide 804 is configured to store the standard sequence of postures and guides the user through the complete yoga asana, ensuring all the postures are achieved correctly and in the correct sequence. The correct sequence of steps is stored in terms of a range of inclination angles gathered from data of the yoga experts. If the user follows the wrong steps, the posture changing guide (804) compares the inclination angles achieved by the user with the predefined range of angle values. If the user's angles deviate from the correct range, an audio feedback through earbuds and haptic feedback through a smart watch to help the user achieve the correct posture.
The instruction module 310 further includes a posture accuracy improving sub-module 806 for analyzing and comparing the tilt angles computed for the user with stored data of the yoga expert. The posture accuracy improving sub-module 806 aims to improve the user's flexibility by providing real-time guidance through audio cues to assist the user in enhancing their flexibility. The posture accuracy improving sub-module 806 may guide the user to stretch a little further in order to achieve a more precise pose.
Referring to
The method further includes tracking the posture attained by the user while performing the selected yoga asana and guiding the user to change and attain the next posture correctly in sequence, at operation 904. It should be noted that the tracking of the posture attained by the user may involve analyzing the position of various body parts, such as the arms, legs, hands, and spine, to ensure proper alignment and form. In one embodiment, an alarm is triggered in case the user attains a wrong posture. The alarm serves as a feedback mechanism to alert the user that their posture is incorrect and needs adjustment.
Thereafter, the method includes providing real-time guidance to the user through audio to perform the posture accurately by analyzing and comparing the tilt angles computed for the user with stored data of the yoga expert, at operation 906. This guidance helps the user to make necessary adjustments and achieve the correct tilt angles and alignment to perform the yoga asana with improved accuracy.
It has thus been seen that the system and method for tracking and measuring body flexibility and balance of the user during physical activity according to the disclosure achieve the purposes highlighted earlier. Such a system and method can in any case undergo numerous modifications and variants, all of which are covered by the same innovative concept, moreover, all of the details can be replaced by technically equivalent elements.
It will be appreciated that various embodiments of the disclosure according to the claims and description in the specification can be realized in the form of hardware, software or a combination of hardware and software.
Any such software may be stored in non-transitory computer readable storage media. The non-transitory computer readable storage media store one or more computer programs (software modules), the one or more computer programs include computer-executable instructions that, when executed by one or more processors of an electronic device individually or collectively, cause the electronic device to perform a method of the disclosure.
Any such software may be stored in the form of volatile or non-volatile storage such as, for example, a storage device like read only memory (ROM), whether erasable or rewritable or not, or in the form of memory such as, for example, random access memory (RAM), memory chips, device or integrated circuits or on an optically or magnetically readable medium such as, for example, a compact disk (CD), digital versatile disc (DVD), magnetic disk or magnetic tape or the like. It will be appreciated that the storage devices and storage media are various embodiments of non-transitory machine-readable storage that are suitable for storing a computer program or computer programs comprising instructions that, when executed, implement various embodiments of the disclosure. Accordingly, various embodiments provide a program comprising code for implementing apparatus or a method as claimed in any one of the claims of this specification and a non-transitory machine-readable storage storing such a program.
While the disclosure has been shown and described with reference to various embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims and their equivalents.
| Number | Date | Country | Kind |
|---|---|---|---|
| 202311073048 | Oct 2023 | IN | national |
This application is a continuation application, claiming priority under § 365 (c), of an International application No. PCT/KR2024/010835, filed on Jul. 25, 2024, which is based on and claims the benefit of an Indian Patent Application number 202311073048, filed on Oct. 26, 2023, in the Indian Intellectual Property Office, the disclosure of which is incorporated by reference herein in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| Parent | PCT/KR2024/010835 | Jul 2024 | WO |
| Child | 18793189 | US |
