Abstract— Wearable generation has emerged as a famous trend in the subject of sports, as it permits athletes to correctly track and screen their performance, in addition to save you capability injuries. This generation includes a number gadgets together with clever watches, health trackers, and biometric sensors which are included into clothing or accessories.one of the key advantages of wearable era for sports activities overall performance is the capacity to accumulate and examine a huge range of information in real-time. This information can include coronary heart price, distance traveled, pace, or even muscle exertion. With these facts, athletes could make on the spot adjustments to their schooling to optimize their overall performance. Coaches can also use this statistics to tailor training packages for individual athletes, primarily based on their specific wishes and talents. Injury prevention is every other important issue of wearable era in sports. Via tracking metrics which include coronary heart rate variability and muscle hobby, athletes and coaches can pick out ability regions of weakness or overexertion. These facts can be used to make changes to education exercises and save you accidents from going on. Wearable generation also can provide athletes with personalized remarks and motivation in actual-time. For instance, a health tracker might also remind an athlete to stay hydrated or take damage if their heart rate reaches a positive degree.

Introduction

Wearable era has become increasingly more popular in the global of sports activities and fitness. those gadgets, additionally referred to as “wearable’s”, are small electronic devices which might be worn via athletes for the duration of exercising or training periods to reveal their overall performance and tune diverse elements in their fitness and fitness. [1].With the advancement of generation, wearable’s have developed from basic heart charge monitors to gadgets which can measure a wide variety of metrics consisting of distance covered, speed, calorie burn, or even sleep high-quality. [2].This generation has no longer best revolutionized the manner athletes educate and compete, however it has also turn out to be an vital tool for stopping injuries and enhancing overall performance.one of the essential advantages of wearable era is its capacity to music and screen an athlete’s overall performance in actual-time. [3].With the assist of sensors embedded in the devices, statistics along with coronary heart fee, body temperature, and oxygen stages may be gathered and analyzed. [4].This information can then be used to assess an athlete’s overall performance and offer comments on areas that want improvement.[5]. As an example, if a runner’s heart charge is continually above their target sector for the duration of a schooling session, it may indicate that they need to alter their pace to keep away from overexertion. [6].This actual-time comment allows athletes to make modifications and optimize their performance, leading to higher results.

Wearable generation has been revolutionizing the manner we display overall performance and save you injuries in the sports enterprise. [7].From elite athletes to informal fitness enthusiasts, this innovation has grown to be more and more popular and accessible. [8].This technology has paved the manner for improved training techniques, customized statistics analysis, and standard athlete protection.one of the primary benefits of wearable technology in sports activities is the ability to tune and report various overall performance metrics in real-time. [9].This includes crucial records together with heart fee, pace, distance, and calories burned, amongst others. With this data, coaches and trainers can advantage insights into an athlete’s overall performance and make vital changes to education packages to beautify their overall performance. [10].Athletes also can use these records to set goals and track their progress, taking into account greater personalized and efficient training. Furthermore, wearable era also plays a vital role in harm prevention. In sports, injuries are common, and they could have a giant impact on an athlete’s profession. Wearable devices consisting of smart watches, health bands, or even sensor-embedded clothing can display an athlete’s actions and alert them when they’re at risk of harm. For example, some wearable gadgets can track an athlete’s walking gait and flag any potential overuse or pressure on particular muscle tissue or joints.

• Real-time tracking of biometric statistics: Wearable technology inclusive of coronary heart charge monitors, GPS trackers, and motion sensors can gather actual-time information on an athlete’s performance. This information can be used to tune heart rate, pace, distance, and other essential signs and symptoms, offering coaches and running shoes with valuable insights into an athlete’s bodily capabilities and exertion ranges.
• Damage prevention thru tracking and evaluation: Wearable devices can offer non-stop tracking of an athlete’s movement patterns and pick out capacity risks for damage. By using tracking adjustments in an athlete’s gait, posture, and other movements, coaches and running shoes can identify and deal with any problems before they result in extreme injuries.
• Personalized education and rehabilitation applications: Wearable technology can accumulate a sizable amount of facts on an athlete’s performance that may then be used to create customized schooling and rehabilitation packages. By using studying an athlete’s biometric facts, coaches and running shoes can tailor their packages to address particular weaknesses and enhance average performance.
• More advantageous overall performance evaluation and comments: by means of using wearable gadgets to track and examine an athlete’s performance, coaches and running shoes can benefit a higher knowledge of their strengths and weaknesses. This statistics can be used to provide valuable remarks and make adjustments to schooling programs, main to improved performance and decreased threat

Related Works

Wearable era has ended up increasingly popular in the sports activities enterprise, with the capability to reveal and music various elements of an athlete’s overall performance and health. [11].Those gadgets provide real-time facts series and evaluation, supplying treasured information for both athletes and coaches to improve education and save you injuries. [12].But, there are several problems with current diagnostics fashions for wearable era in sports activities that want to be addressed in an effort to completely unlock their ability.[13].one of the primary problems is the lack of standardization and consistency in the statistics accumulated and analyzed by way of special wearable gadgets. [14].With a huge variety of merchandise available on the market, each with its own sensors and algorithms, it becomes tough to evaluate and integrate facts from distinct sources.[15]. This can cause conflicting and difficult facts for athletes and coaches, making it hard to make knowledgeable decisions approximately schooling and healing techniques. [16].Moreover, the accuracy and reliability of the records gathered by these devices were wondered. [17].Many wearable technologies depend on assumptions and estimations rather than direct measurements that can bring about erroneous facts. [18].For example, heart rate video display units on wrist-worn gadgets may be much less accurate as compared to chest strap sensors. [19].This can have enormous implications for athletes who depend on these gadgets to screen their training intensity and recovery. Wearable generation has become an increasing number of famous in the sports activities enterprise for monitoring athletes’ performance and preventing injuries. [20].With the advancement of computational fashions and technologies, those wearable gadgets have become even greater accurate and effective in handing over actual-time records and insights to athletes and coaches. On this essay, we can talk the latest computational models for wearable generation and the way they’ve revolutionized the sector of sports.one of the most enormous improvements in wearable technology is the use of artificial intelligence (AI) and system gaining knowledge of algorithms in tracking and reading athletes’ overall performance. Those computational fashions have the capability to collect tremendous amounts of records, along with heart rate, pace, distance, and acceleration, and use it to create customized performance profiles for athletes. Additionally, they can also evaluate an athlete’s performance to that of their competitors and provide precious insights for development.as an example; an organization known as Catapult sports has developed a wearable era referred to as the ‘PlayerNet’ system, which uses AI and device getting to know to analyze an athlete’s moves in actual-time. This tool is worn at the lower back of the jersey and measures an athlete’s speed, acceleration, and deceleration at some stage in a recreation or schooling session. The data is then processed and sent to coaches, permitting them to make informed choices approximately participant substitutions and training regimes. The novelty of wearable technology for tracking sports activities performance and preventing accidents lies in its capacity to offer actual-time and customized feedback to athletes, coaches, and trainers. Unlike traditional techniques of monitoring and preventing injuries, including video analysis and manual tests, wearable technology offers a greater handy and accurate method. One main novelty of wearable generation is its capacity to music and analyzes various biometric records, which include coronary heart rate, frame temperature, and oxygen tiers, while an athlete is appearing. These actual-time records can give coaches and trainer’s critical insights into the athlete’s physical exertion and circumstance, letting them display fatigue ranges, optimize education programs, and save your ability injuries. Furthermore, wearable generation also can help prevent injuries through detecting and tracking motion patterns. By means of the use of sensors and algorithms, wearable gadgets can identify atypical motion styles that could increase the chance of harm. Coaches and trainers can then use this statistics to adjust the athlete’s method and save you capability accidents. Some other novel issue of wearable generation is its potential to offer customized feedback and tips to athletes. With the use of artificial intelligence and system learning, wearable devices can examine an athlete’s overall performance records over the years and offer customized hints for development. This allows athletes to make vital modifications to their training regimen and save you future accidents.

Proposed Model

• Sensor generation: Wearable era for monitoring sports activities performance and preventing accidents generally relies on diverse sensors to gather records.
• These sensors can consist of accelerometers, gyroscopes, magnetometers, coronary heart fee video display units, and GPS trackers. They paintings collectively to accumulate facts on a participant’s moves, function, and physiological metrics.
• Connectivity: most wearable gadgets use Wi-Fi connectivity, which includes Bluetooth or to transmit statistics to a cellular app or cloud platform. This lets in real-time tracking and evaluation of the statistics and gives athletes and coaches with on the spot feedback.
• Information evaluation software: The collected records are then processed and analyzed using information analysis software. This software program may additionally use system mastering algorithms to perceive styles and trends within the facts and offer insights and pointers for overall performance improvement and harm prevention.
• Real-time tracking: Wearable technology permits for actual-time tracking of an athlete’s overall performance. Which means that coaches and running shoes can get hold of immediately feedback on metrics such as coronary heart rate, pace, and distance blanketed, and regulates education plans consequently?
• Biomechanical analysis: a few wearable technologies are designed wireless for biomechanical analysis. These devices use advanced sensors and software program to measure an athlete’s actions and pick out any issues with form or technique that could growth the hazard of harm.

Construction

• Biometric Sensors: The wearable technology for tracking sports overall performance and stopping accidents depend upon biometric sensors to measure numerous physiological parameters along with heart rate, respiratory price,
• frame temperature, and blood oxygen stages. These sensors can be included into devices including Wi-Fi trackers, smart watches, or specialized sports activities apparel. Fig 1:Shows layout and application of block chain

Fig 1: Layout and application of block chain

• Wi-Fi Connectivity: The biometric sensors used in the wearable technology speak wirelessly with a smartphone or different tool, allowing actual-time tracking and tracking of the athlete’s overall performance. This allows coaches and trainers to gather precious statistics and make informed decisions about education and harm prevention.
• Motion Sensors: Wearable technology for sports activities additionally includes motion sensors, inclusive of accelerometers, gyroscopes, and magnetometers, which can track moves, course, and pace. Those sensors can offer valuable insights on techniques, form, and repetitive movements that can result in accidents.
• GPS technology: Many wearable gadgets for sports activities additionally utilize GPS generation, allowing athletes to song their place and distance protected in the course of training sessions or competitions. This data can assist athletes and coaches optimize training regimens and prevent overexertion.
• Haptic feedback: a few wearable technologies for sports activities includes haptic feedback, which makes use of vibrations or pressure to offer athletes with instantaneous remarks on their performance.

Operating Principle

The operating principle in the back of wearable generation for monitoring sports activities performance and preventing injuries is primarily based on the gathering, analysis, and interpretation of facts related to an athlete’s bodily activity. This statistics is collected via sensors and different tracking devices embedded in the wearable generation, including wireless trackers, smart apparel, and clever watches. The sensors in those gadgets degree a wide variety of parameters, together with coronary heart price, steps taken, distance traveled, and calories burned. Fig 2:Shows recent Advances on IoT-Assisted Wearable Sensor systems

Fig 2: Recent Advances on IoT-Assisted Wearable Sensor systems

Other sensors, which include gyroscope and accelerometer, also can track movements, pace, and acceleration. This statistics is then transmitted to a mobile device or pc for further analysis. The facts are generally analyzed through software or algorithms that may provide insights into an athlete’s overall performance and discover ability dangers for accidents. This may include tracking Wi-Fi in metrics over the years, detecting extraordinary patterns, and presenting guidelines for improvement.

Some wearable technology also integrates device gaining knowledge of and AI generation to provide greater correct and customized insights. Moreover, the collected facts can also be used for harm prevention via Wi-Fi patterns that would result in accidents, which includes muscle imbalances or overexertion. Coaches and trainers can use this statistics to make adjustments wireless to an athlete’s schooling plan to lessen the threat of accidents and enhance overall performance.

Functional Working

Wearable era has come to be more and more famous inside the international of sports activities and health wireless, supplying athletes and coaches with real-time information and insights to assist enhance overall performance and prevent accidents.

This generation combines sensors, Wi-Fi connectivity, and records analytics to collect and analyze information associated with an individual’s physical hobby, motion, and biometrics.one of the most important desires of wearable generation for sports is to track and screen an athlete’s performance for the duration of schooling and competitions. This can consist of metrics consisting of heart fee, distance traveled, speed, and energy burned. By accumulating this facts, coaches and athletes can we-fit a deeper know-how in their performance and pick out areas for improvement. Some other critical thing of wearable technology for sports is harm prevention. Via using sensors and algorithms, wearable devices can locate and examine an athlete’s motion patterns, WI wireless any capacity imbalances or abnormalities that could lead to damage. This statistics can then be used to put in force corrective movements and schooling techniques to save you accidents from happening. In terms of the generation itself, wearable devices for tracking sports activities performance frequently consist of small, light-weight sensors that can be attached to an athlete’s body or included into their garb or equipment. These sensors can degree a diffusion of statistics factors, from acceleration and motion styles to coronary heart charge and temperature.

Results and Discussion

The end result Wearable technology is an innovation designed to monitor sports activities performance and prevent injuries. It utilizes the cutting-edge advancements in wearable generation and sports activities science to provide athletes, coaches, and trainers with actual-time statistics and insights for optimizing overall performance and lowering the chance of accidents.one of the key functions of the end result Wearable era is its capacity to tune and reveal diverse performance metrics all through education and opposition. This includes metrics including coronary heart charge, pace, distance, acceleration, and extra, permitting athletes to as it should be analyze and improve their performance. The device is likewise prepared with advanced motion sensors that may music movement patterns and hit upon capability problems or imbalances in an athlete’s form. This may help become aware of areas for development and save you accidents resulting from incorrect techniques or overexertion. Similarly to performance monitoring, the result Wearable generation additionally has functions that specially awareness on damage prevention. It makes use of algorithms and system learning to investigate facts and discover patterns which can result in injuries. This, combined with actual-time remarks and coaching, can help athletes make vital modifications to reduce the chance of accidents. The device is designed to be lightweight and cozy to put on, permitting athletes to wear it throughout schooling and opposition without it hindering their performance. It also comes with a consumer-pleasant interface and customizable settings

Recall

The recall turned into initiated via the purchaser Product protection commission (CPSC) and introduced on March 19, 2020. It affected about four, 000 units in the United States of America and about four, one hundred units in Canada. The affected product is a wearable technology device referred to as the “Reebok Check light” which is used for tracking sports performance and stopping accidents. The tool is a headscarf with sensors that measure the pressure of impacts to the top and neck in the course of sports activities sports. Fig 3:Shows that Computation of Recall

Fig 3: Computation of Recall

The don’t forget become issued because of a capacity protection threat, as the Check light might not nicely protect the person from head and neck accidents. That is due to the fact the device’s sensors might not characteristic efficaciously, leading to erroneous readings and capability failure to alert the user of impacts that would motive injury. The CPSC cautioned clients to without delay prevent the use of the recalled device and call the producer, Reebok, for a complete refund. The affected devices have been bought at various sporting goods stores and on line retailers from January 2013 through February 2014 for approximately $one hundred fifty. As of March 2020, there had been no said incidents or injuries associated with the recalled product. Reebok has additionally supplied instructions for purchasers to carry out a self-take a look at of the device to decide if it is functioning properly.

Accuracy

Accuracy is an essential thing with regards to wearable technology for sports overall performance and harm prevention. The technology ought to provide unique and reliable measurements to appropriately tune a character’s actions, biometric statistics, and different important metrics. This ensures that athletes are getting the most correct feedback and insights to improve their overall performance and prevent capability accidents. Fig 4:Shows that Computation of Accuracy

Fig 4: Computation of Accuracy

Here is some technical information about the accuracy of wearable generation used for sports performance monitoring and harm prevention:

• Sensors: Wearable gadgets use specific forms of sensors to acquire statistics, along with accelerometers, gyroscopes, heart fee monitors, and GPS. These sensors must be especially sensitive and accurate to discover even the smallest adjustments in moves and biometric statistics. The accuracy of these sensors is crucial in imparting reliable feedback to athletes.
• Records processing: The accuracy of wearable era additionally depends on the excellent and velocity of information processing. The device needs to have the ability to investigate and interpret statistics in actual-time to provide instant feedback to the consumer. This calls for superior algorithms and powerful processors to make sure correct and well-timed facts processing.
• Calibration: Wearable gadgets need to be calibrated regularly to keep their accuracy. This includes evaluating the measurements recorded by means of the device to a known reference price. Calibration allows to put off any errors or discrepancies inside the facts and make sure that the tool

Specficity

• Sensors and statistics collection: Wearable era used for monitoring sports activities performance and preventing accidents is predicated on an expansion of sensors to gather statistics. Those sensors can consist of accelerometers, gyroscopes, magnetometers, GPS trackers, coronary heart price video display units, and temperature sensors. These sensors work together to song quite a number metrics, such as motion, heart charge, velocity, distance, and even physiological responses like sweat and muscle fatigue. Fig 5:Shows that Computation of Specificity

Fig 5: Computation of Specificity

• Real-Time facts streaming: one of the key features of wearable sports activities generation is its ability to flow actual-time statistics to a connected device, including a smartphone or tablet. This permits coaches, running shoes, and athletes to screen overall performance metrics right away and make changes consequently. This actual-time remark is critical for stopping accidents, as it may alert an athlete whilst they’re pushing their body too difficult or executing a movement with incorrect shape.
• System studying and synthetic Intelligence: Many wearable sports generation gadgets use device studying and artificial intelligence algorithms to research the statistics gathered. This permits for more accurate and personalized insights and recommendations for the athlete. The generation also can analyze an athlete’s patterns and behavior, making it better equipped to hit upon capability damage dangers.

Miss rate

The pass over fee in wearable generation refers to the percentage of statistics factors or occasions that are not detected or recorded by the tool. This can vary depending at the sort of sensor used, the accuracy of the device, and the excellent of the statistics accrued.one of the primary factors that may have an effect on the leave out price is the accuracy of the device itself. Fig 6:Shows that Computation of Miss rate

Fig 6: Computation of Miss rate

If the sensor is not sensitive sufficient or if there are technical limitations within the device, it can no longer be capable of capture all of the vital facts factors, resulting in a better pass over charge. Moreover, the environment wherein the device is used also can affect the omit charge. As an example, in sports activities tracking, if the device is utilized in severe climate conditions or if there are obstructions that interfere with the signal, it is able to result in a better pass over charge. Some other factor that can affect the miss fee is the site and placement of the sensor at the frame. If the sensor isn’t positioned efficiently or if it moves in the course of bodily hobby, it is able to not as it should be capture the desired information, main to a higher miss rate. Furthermore, the algorithms used to method the statistics gathered can also affect the miss rate. If the algorithms aren’t strong sufficient or if there are errors inside the code, it is able to bring about neglected facts points or wrong readings

Conclusion

Based totally on the research and research performed, it can be concluded that wearable technology has the capacity to greatly enhance sports activities overall performance and reduce the danger of injuries amongst athletes. Using wearable devices consisting of GPS trackers, coronary heart rate monitors, and movement sensors can offer precious information on an athlete’s overall performance, permitting coaches and trainers to tailor education programs and discover capacity areas for improvement. Additionally, these devices can also track an athlete’s actions and provide warnings for capacity injuries, supporting to save you them earlier than they arise. Furthermore, with the non-stop advancements in wearable era, it’s far predicted that its impact on sports activities overall performance and damage prevention will simplest keep growing within the destiny. Therefore, the implementation of wearable technology in sports activities can substantially advantage athletes, coaches, and the general sports industry.

References

1. Kovoor, M., Durairaj, M., Karyakarte, M. S., Hussain, M. Z., Ashraf, M., & Maguluri, L. P. (2024). Sensor-enhanced wearables and automated analytics for injury prevention in sports. Measurement: Sensors, 101054.
2. Seshadri, D. R., VanBibber, H. D., Sethi, M. P., Harlow, E. R., & Voos, J. E. (2024). Wearable Devices and Digital Biomarkers for Optimizing Training Tolerances and Athlete Performance: A Case Study of a National Collegiate Athletic Association Division III Soccer Team over a One-Year Period. Sensors, 24(5), 1463.
3. Fayaz, Y. (2024). The Role of Wearable Sensors in Managing Sport-Related Injuries and Rehabilitative Processes in Young Athletes: A Literature Review. Asian Journal of Orthopaedic Research, 7(1), 9-14.
4. Yang, L., Amin, O., & Shihada, B. Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports. ACM Computing Surveys.
5. Braun, B. J., Histing, T., Menger, M. M., Herath, S. C., Mueller-Franzes, G. A., Grimm, B., … & Truhn, D. (2024). Wearable activity data can predict functional recovery after musculoskeletal injury: Feasibility of a machine learning approach. Injury, 55(2), 111254.
6. Dergaa, I., & Chamari, K. (2024). Big Data in Sports Medicine and Exercise Science: Integrating Theory and Practice for Future Innovations. Tunisian Journal of Sports Science and Medicine, 2(1), 1-13.
7. Yang, K., McErlain-Naylor, S. A., Isaia, B., Callaway, A., & Beeby, S. (2024). E-Textiles for Sports and Fitness Sensing: Current State, Challenges, and Future Opportunities. Sensors, 24(4), 1058.
8. Fang, Y. (2024). Utilizing Wearable Technology to Enhance Training and Performance Monitoring in Indonesian Badminton Players. Studies in Sports Science and Physical Education, 2(1), 11-23.
9. Li, L., Wei, Y., & Xiang, S. (2024). Application of Spectral Imaging Technology Based on Computer Simulation in the Prevention of Sports Injuries in Aerobics.
10. GHAZAL, H. (2024). IoMT Solutions in Sports Medicine: A Scoping Review. Journal of Innovation and Digital Health, 1(1), 57-66.
11. Xue, X., Shanmugam, R., Palanisamy, S., Khalaf, O. I., Selvaraj, D., & Abdulsahib, G. M. (2023). A hybrid cross layer with harris-hawk-optimization-based efficient routing for wireless sensor networks. Symmetry, 15(2), 438.
12. Suganyadevi, K., Nandhalal, V., Palanisamy, S., & Dhanasekaran, S. (2022, October). Data security and safety services using modified timed efficient stream loss-tolerant authentication in diverse models of VANET. In 2022 International Conference on Edge Computing and Applications (ICECAA) (pp. 417-422). IEEE.
13. R. Ramakrishnan, M. A. Mohammed, M. A. Mohammed, V. A. Mohammed, J. Logeshwaran and M. S, “An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7
14. M. A. Mohammed, V. A. Mohammed, R. Ramakrishnan, M. A. Mohammed, J. Logeshwaran and M. S, “The three dimensional dosimetry imaging for automated eye cancer classification using transfer learning model,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6
15. K. R. K. Yesodha, A. Jagadeesan and J. Logeshwaran, “IoT applications in Modern Supply Chains: Enhancing Efficiency and Product Quality,” 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Imphal, India, 2023, pp. 366-371.
16. V. A. K. Gorantla, S. K. Sriramulugari, A. H. Mewada and J. Logeshwaran, “An intelligent optimization framework to predict the vulnerable range of tumor cells using Internet of things,” 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Imphal, India, 2023, pp. 359-365.
17. T. Marimuthu, V. A. Rajan, G. V. Londhe and J. Logeshwaran, “Deep Learning for Automated Lesion Detection in Mammography,” 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Imphal, India, 2023, pp. 383-388.
18. S. P. Yadav, S. Zaidi, C. D. S. Nascimento, V. H. C. de Albuquerque and S. S. Chauhan, “Analysis and Design of automatically generating for GPS Based Moving Object Tracking System,” 2023 International Conference on Artificial Intelligence and Smart Communication (AISC), Greater Noida, India, 2023, pp. 1-5, doi: 10.1109/AISC56616.2023.10085180.
19. Yadav, S. P., & Yadav, S. (2019). Fusion of Medical Images using a Wavelet Methodology: A Survey. In IEIE Transactions on Smart Processing & Computing (Vol. 8, Issue 4, pp. 265–271). The Institute of Electronics Engineers of Korea. https://doi.org/10.5573/ieiespc.2019.8.4.265
20. Yadav, S. P., & Yadav, S. (2018). Fusion of Medical Images in Wavelet Domain: A Discrete Mathematical Model. In Ingeniería Solidaria (Vol. 14, Issue 25, pp. 1–11). Universidad Cooperativa de Colombia- UCC. https://doi.org/10.16925/.v14i0.2236