Real-Time monitoring of sound levels during school sports events
DOI:
https://doi.org/10.47197/retos.v63.111343Keywords:
noise levels, athletic performance, impulsive sounds, stress management, school sports, spectator behavior, noise controlAbstract
Introduction: This study examines how impulsive noise impacts athlete performance and spectator behavior at school sports events, using 60 students divided into control and experimental groups to assess effects on reaction time, accuracy, and stress.
Objective: to determine the extent to which impulsive noise impacts athletic performance and spectator reactions during school sports events.
Methodology: participants were exposed to varying levels of noise during athletic tasks to measure reaction times, accuracy, and stress indicators. the study utilized controlled auditory environments to simulate real-world sports event conditions.
Results: the findings indicate that elevated noise levels significantly impair athletic performance, with a strong correlation observed between increased noise intensity and heightened spectator enthusiasm. additionally, elevated noise was found to exacerbate stress in athletes, leading to reduced focus and performance consistency.
Discussion: contrasting these results with existing research, the negative impact of noise on performance aligns with studies emphasizing the importance of optimal auditory conditions for sports activities. however, the increase in spectator enthusiasm suggests a complex interaction between environment and spectator behavior.
Conclusions: implementing effective interventions, such as controlled cheering and sound monitoring technology, can create an environment that balances spectator excitement with the support needed for athlete concentration and performance, ultimately fostering a healthier and more supportive experience for all participants.
References
Gutiérrez, D., García López, L. M., Segovia, Y., Fernández-Bustos, J. G., & González-Martí, I. (2024). Developing social and school facilitators for a positive school transition through a Sport Education and Service-Learning programme. Physical Education and Sport Pedagogy, 1-16. https://doi.org/10.1080/17408989.2024.2319078
Stodden, D. F., Pesce, C., Zarrett, N., Tomporowski, P., Ben-Soussan, T. D., Brian, A., ... & Weist, M. D. (2023). Holistic functioning from a developmental perspective: a new synthesis with a focus on a multi-tiered system support structure. Clinical Child and Family Psychology Review, 26(2), 343-361. https://doi.org/10.1007/s10567-023-00428-5
Yue, Y., & Yang, Y. (2023). Mobile intelligent terminal speaker identification for real-time monitoring system of sports training. Evolutionary Intelligence, 16(6), 1801-1812. https://doi.org/10.1007/s12065-020-00452-2
Bood, R. J., Nijssen, M., Van Der Kamp, J., & Roerdink, M. (2013). The power of auditory-motor synchronization in sports: enhancing running performance by coupling cadence with the right beats. PloS one, 8(8), e70758. https://doi.org/10.1371/journal.pone.0070758
Zhang, Y., Duan, W., Villanueva, L. E., & Chen, S. (2023). Transforming sports training through the integration of internet technology and artificial intelligence. Soft Computing, 27(20), 15409-15423. https://doi.org/10.1007/s00500-023-08960-w
Altayeva, A. (2024). Exploring the impact of impulsive urban sounds and noise on open sports training through real-time AI sound analysis. Retos, 60, 755-763. https://doi.org/10.47197/retos.v60.109431
Omarov, B., Omarov, N., Mamutov, Q., Kissebayev, Z., Anarbayev, A., Tastanov, A., & Yessirkepov, Z. (2024). Examination of the Augmented Reality Exercise Monitoring System as an Adjunct Tool for Prospective Teacher Trainers. Retos, 58, 85–94. https://doi.org/10.47197/retos.v58.105030
Ma, Y., Guo, H., Sun, Y., & Liu, F. (2023). Real-time prediction algorithm and simulation of sports results based on internet of things and machine learning. International Journal of Information Technology and Management, 22(3-4), 386-406. https://doi.org/10.1504/IJITM.2023.131845
Rapp, A. (2023). Wearable technologies as extensions: a postphenomenological framework and its design implications. Human–Computer Interaction, 38(2), 79-117. https://doi.org/10.1080/07370024.2021.1927039
Qaraqe, M., Elzein, A., Basaran, E., Yang, Y., Varghese, E. B., Costandi, W., ... & Alam, N. (2024). PublicVision: A Secure Smart Surveillance System for Crowd Behavior Recognition. IEEE Access, 12, 26474-26491. https://doi.org/10.1109/ACCESS.2024.3366693
Omarov, B., & Altayeva, A. (2018, January). Towards intelligent IoT smart city platform based on OneM2M guideline: smart grid case study. In 2018 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 701-704). IEEE. https://doi.org/10.1109/BigComp.2018.00130
Lee, S., & Kim, Y. H. (2023). A study of student spectator behavior at collegiate sporting events: the role of spectator attachment and interaction. Journal of Sport & Tourism, 27(4), 275-291. https://doi.org/10.1080/14775085.2023.2234879
Robinson, M. (2024). Managing spectator enthusiasm through controlled cheering in school sports. Educational Sports Management, 17(1), 78-90.
Omarov, B., Altayeva, A., Suleimenov, Z., Im Cho, Y., & Omarov, B. (2017, April). Design of fuzzy logic based controller for energy efficient operation in smart buildings. In 2017 First IEEE International Conference on Robotic Computing (IRC) (pp. 346-351). IEEE. https://doi.org/10.1109/IRC.2017.26
Shen, D., Tao, X., Koncar, V., & Wang, J. (2023). A Review of Intelligent Garment System for Bioelectric Monitoring During Long-Lasting Intensive Sports. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3322925
Van Hooren, B., Plasqui, G., & Meijer, K. (2024). The effect of Wearable-based real-time feedback on running injuries and running performance: a randomized controlled trial. The American Journal of Sports Medicine, 52(3), 750-765. https://doi.org/10.1177/03635465231222464
Robell, K. C., Norcross, M. F., Bohr, A. D., & Harmon, K. G. (2023). Pac-12 health analytics program: an innovative approach to health care operations, data analytics, and clinical research in intercollegiate athletics. Journal of Athletic Training, 58(7-8), 655-663. https://doi.org/10.4085/1062-6050-0063.22
Omarov, B., Altayeva, A., & Cho, Y. I. (2017). Smart building climate control considering indoor and outdoor parameters. In Computer Information Systems and Industrial Management: 16th IFIP TC8 International Conference, CISIM 2017, Bialystok, Poland, June 16-18, 2017, Proceedings 16 (pp. 412-422). Springer International Publishing. https://doi.org/10.1007/978-3-319-59105-6_35
Guppy, Fergus, Borja Muniz-Pardos, Konstantinos Angeloudis, Gerasimos V. Grivas, Asimina Pitsiladis, Ross Bundy, Irina Zelenkova et al. "Technology innovation and guardrails in elite sport: the future is now." Sports Medicine 53, no. Suppl 1 (2023): 97-113. https://doi.org/10.1007/s40279-023-01913-1
Huang, D., Zhang, Y., Cheng, H., Andrea, C., Shi, J., Chen, C., ... & Zeng, L. (2024). Evaluating air pollution exposure among cyclists: Real-time levels of PM2. 5 and NO2 and POI impact. Science of The Total Environment, 945, 173559. https://doi.org/10.1016/j.scitotenv.2024.173559
Omarov, B., Altayeva, A., Turganbayeva, A., Abdulkarimova, G., Gusmanova, F., Sarbasova, A., ... & Omarov, N. (2019). Agent based modeling of smart grids in smart cities. In Electronic Governance and Open Society: Challenges in Eurasia: 5th International Conference, EGOSE 2018, St. Petersburg, Russia, November 14-16, 2018, Revised Selected Papers 5 (pp. 3-13). Springer International Publishing. https://doi.org/10.1007/978-3-030-13283-5_1
Papatsimouli, M., Sarigiannidis, P., & Fragulis, G. F. (2023). A survey of advancements in real-time sign language translators: integration with IoT technology. Technologies, 11(4), 83. https://doi.org/10.3390/technologies11040083
Baker, T., & Green, R. (2022). The impact of noise on cognitive performance in young athletes. Journal of Sports Psychology, 45(3), 234-245.
Yue, Y., & Yang, Y. (2023). Mobile intelligent terminal speaker identification for real-time monitoring system of sports training. Evolutionary Intelligence, 16(6), 1801-1812. https://doi.org/10.1007/s12065-020-00452-2
Araújo, D., Couceiro, M., Seifert, L., Sarmento, H., & Davids, K. (2021). Artificial intelligence in sport performance analysis. Routledge. https://doi.org/10.4324/9781003163589
Ghosh, I., Ramasamy Ramamurthy, S., Chakma, A., & Roy, N. (2023). Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13(5), e1496. https://doi.org/10.1002/widm.1496
Nagy, M., Naik, H., Kano, F., Carlson, N. V., Koblitz, J. C., Wikelski, M., & Couzin, I. D. (2023). SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers. Science Advances, 9(35), eadf8068. https://doi.org/10.1126/sciadv.adf8068
Glebova, E., Gerke, A., & Book, R. (2023). The transformational role of technology in sports events. In Sports management in an uncertain environment (pp. 169-187). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-7010-8_8
Doskarayev, B., Omarov, N., Omarov, B., Ismagulova, Z., Kozhamkulova, Z., Nurlybaeva, E., & Kasimova, G. (2023). Development of Computer Vision-enabled Augmented Reality Games to Increase Motivation for Sports. International Journal of Advanced Computer Science and Applications, 14(4). https://doi.org/10.14569/IJACSA.2023.0140428
Kolk, M. Z., Frodi, D. M., Langford, J., Meskers, C. J., Andersen, T. O., Jacobsen, P. K., ... & Tjong, F. V. (2024). Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: a substudy of the multicentre, prospective observational SafeHeart study. European Heart Journal-Quality of Care and Clinical Outcomes, 10(6), 531-542. https://doi.org/10.1093/ehjqcco/qcad069
Paul, A. K. (2023). Future of sports operations and sports event management in uncertain environment: a critical review. Sports Management in an Uncertain Environment, 189-218. https://doi.org/10.1007/978-981-19-7010-8_9
Liu, H., Zhang, S., Gamboa, H., Xue, T., Zhou, C., & Schultz, T. (2024). Taxonomy and real-time classification of artifacts during biosignal acquisition: A starter study and dataset of ECG. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2024.3356651
Glebova, E., Book, R., Su, Y., Perić, M., & Heller, J. (2023). Sports venue digital twin technology from a spectator virtual visiting perspective. Frontiers in sports and active living, 5, 1289140. https://doi.org/10.3389/fspor.2023.1289140
Toner, J., Allen-Collinson, J., Jackman, P. C., Jones, L., & Addrison, J. (2023). ‘I like to run to feel’: embodiment and wearable mobile tracking devices in distance running. Qualitative Research in Sport, Exercise and Health, 15(6), 805-818. https://doi.org/10.1080/2159676X.2023.2225516
Eisenkraft, A., Goldstein, N., Merin, R., Fons, M., Ishay, A. B., Nachman, D., & Gepner, Y. (2023). Developing a real-time detection tool and an early warning score using a continuous wearable multi-parameter monitor. Frontiers in Physiology, 14, 1138647. https://doi.org/10.3389/fphys.2023.1138647
Tursynova, A., Omarov, B., Sakhipov, A., & Tukenova, N. (2022). Brain Stroke Lesion Segmentation Using Computed Tomography Images based on Modified U-Net Model with ResNet Blocks. International Journal of Online & Biomedical Engineering, 18(13). https://doi.org/10.3991/ijoe.v18i13.32881
Shen, J., Wang, J., & Zhang, J. (2023, June). The Development of Digital Technology Efficiency in the Communication of Large-Scale Events. In Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China. https://rpd-online.com/index.php/rpd/article/view/1319
Narynov, S., Zhumanov, Z., Gumar, A., Khassanova, M., & Omarov, B. (2021, October). Chatbots and Conversational Agents in Mental Health: A Literature Review. In 2021 21st International Conference on Control, Automation and Systems (ICCAS) (pp. 353-358). IEEE. https://doi.org/10.23919/ICCAS52745.2021.9649855
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Aigerim Bakatkaliyevna
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and ensure the magazine the right to be the first publication of the work as licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of authorship of the work and the initial publication in this magazine.
- Authors can establish separate additional agreements for non-exclusive distribution of the version of the work published in the journal (eg, to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Is allowed and authors are encouraged to disseminate their work electronically (eg, in institutional repositories or on their own website) prior to and during the submission process, as it can lead to productive exchanges, as well as to a subpoena more Early and more of published work (See The Effect of Open Access) (in English).
This journal provides immediate open access to its content (BOAI, http://legacy.earlham.edu/~peters/fos/boaifaq.htm#openaccess) on the principle that making research freely available to the public supports a greater global exchange of knowledge. The authors may download the papers from the journal website, or will be provided with the PDF version of the article via e-mail.