The real-time application and effectiveness assessment of an intelligent physical fitness testing system in physical training

  • Jianghao Jing Police and Sports Department, Shaanxi Police College, Xi’an 710000, China
Keywords: intelligent physical fitness testing system; real-time application and effectiveness assessment; northern goshawk optimization-driven gate customized long short-term memory (NG-GC-LSTM)
Article ID: 223

Abstract

An intelligent physical fitness testing system leverages advanced technologies to monitor and evaluate individuals’ fitness levels accurately. It integrates real-time data acquisition, and analysis, to support personalized physical training and health management. This study aims to evaluate the practical application and effectiveness of an intelligent system for real-time physical fitness testing in the context of physical training. Our suggested model employs portable sensing devices and we proposed a novel Northern Goshawk optimization-driven Gate Customized Long Short-Term Memory (NG-GC-LSTM) for enhancing accuracy in evaluating the individuals’ physical fitness levels. Data acquisition involves gathering bio-sensing data from 25 individuals during diverse physical training activities. The Min-Max Scaling algorithm is utilized to pre-process the obtained sensor data. We employed a Short-Time Fourier Transform (STFT) for extracting crucial features from the processed data. In our proposed framework, the NG optimization algorithm iteratively fine-tunes the GC-LSTM architecture for the accurate evaluation of an established intelligent physical fitness testing system. The recommended model is executed in Python software. During the result analysis phase, we assess the efficacy of our model’s performance across a variety of parameters. Additionally, we conduct comparative analyses with existing methodologies. The obtained outcomes demonstrate the efficacy and superiority of the suggested framework.

References

1. Shao T, Verma HK, Pande B, et al. Physical Activity and Nutritional Influence on Immune Function: An Important Strategy to Improve Immunity and Health Status. Frontiers in Physiology. 2021; 12. doi: 10.3389/fphys.2021.751374

2. Hung ST, Cheng YC, Wu CC, et al. Examining Physical Wellness as the Fundamental Element for Achieving Holistic Well-Being in Older Persons: Review of Literature and Practical Application in Daily Life. Journal of Multidisciplinary Healthcare. 2023; 16: 1889-1904. doi: 10.2147/jmdh. s419306

3. Jilani UA, Othman ZB, Jilani SA. (2022). Role Of Physical Inactivity and High Body Mass Index in The Causation and Primary Prevention of Non-Communicable Diseases. Malaysian Journal of Public Health Medicine. 2022; 22(1): 295-302. doi: 10.37268/mjphm/vol.22/no.1/art.1516

4. Shkola O, Zhamardiy V, Kyzim P, et al. Fitness exercises as a means of motivation for physical education classes for high school students. JETT. 2023; 13(2):243-251.

5. Zhamardiy V, Griban G, Shkola O, et al. Methodical system of using fitness technologies in physical education of students. International Journal of Applied Exercise Physiology. 2020; 9(5): 27-34.

6. Chaabene H, Prieske O, Herz M, et al. Home-based exercise programmes improve physical fitness of healthy older adults: A PRISMA-compliant systematic review and meta-analysis with relevance for COVID-19. Ageing Research Reviews. 2021; 67: 101265. doi: 10.1016/j.arr.2021.101265

7. Jeffries A, Marcora S, Coutts AJ, et al. Development of a revised conceptual framework of physical training for measurement validation and other applications. Published online October 19, 2020. doi: 10.31236/osf.io/wpvek

8. Hussain F, Goncalves NJ, Alexandre D, et al. A smartphone accelerometer data-driven approach to recognize activities of daily life: A comparative study. Smart Health. 2023; 30: 100432. doi: 10.1016/j.smhl.2023.100432

9. Barricelli BR, Casiraghi E, Gliozzo J, et al. Human Digital Twin for Fitness Management. IEEE Access. 2020; 8: 26637-26664. doi: 10.1109/access.2020.2971576

10. Huang Z, Chen Q, Zhang L, et al. Research on Intelligent Monitoring and Analysis of Physical Fitness Based on the Internet of Things. IEEE Access. 2019; 7: 177297-177308. doi: 10.1109/access.2019.2956835

11. Herbert C, Meixner F, Wiebking C, et al. Regular Physical Activity, Short-Term Exercise, Mental Health, and Well-Being Among University Students: The Results of an Online and a Laboratory Study. Frontiers in Psychology. 2020; 11. doi: 10.3389/fpsyg.2020.00509

12. Cao F, Xiang M, Chen K, et al. Intelligent Physical Education Teaching Tracking System Based on Multimedia Data Analysis and Artificial Intelligence. Mo R, ed. Mobile Information Systems. 2022; 2022: 1-11. doi: 10.1155/2022/7666615

13. Jiameng W, Weiyu Z, Tao W, et al. Construction Design and Theoretical Research on Cloud-based Intelligent Platform for Physical Fitness Test and Health Examination Data of College Students. Journal of Asian Society for Health & Exercise. 2022; 4(1): 15-27.

14. Dai Y, Guo J, Yang L, et al. A New Approach of Intelligent Physical Health Evaluation based on GRNN and BPNN by Using a Wearable Smart Bracelet System. Procedia Computer Science. 2019; 147: 519-527. doi: 10.1016/j.procs.2019.01.235

15. Zhang QQ. Intelligent control model of athletes’ training intensity based on big data analysis of physical fitness. Journal of Physics: Conference Series. 2021; 1883(1): 012147. doi: 10.1088/1742-6596/1883/1/012147

16. Wang D, Zheng Y. Digital and Intelligent Image Processing by Artificial Intelligence and Internet of Things Technology in Sports Fitness Detection. IEEE Access. 2022; 10: 115996-116003. doi: 10.1109/access.2022.3218912

17. Yuan B, Kamruzzaman MM, Shan S. Application of Motion Sensor Based on Neural Network in Basketball Technology and Physical Fitness Evaluation System. Wu W, ed. Wireless Communications and Mobile Computing. 2021; 2021(1). doi: 10.1155/2021/5562954

18. Zhamardiy V, Shkola O, Tolchieva H, et al. Fitness technologies in the system of physical qualities development by young students. Journal of Physical Education and Spor. 2020; 20(1): 142-149.

19. Kosholap A, Maksymchuk B, Branitska T, et al. Neuropsychological Bases of Self-Improvement of Own Physical Health of Future Teachers in the Course of University Education. Brain Broad Research in Artificial Intelligence and Neuroscience. 2021; 12(3): 171-190. doi: 10.18662/brain/12.3/226

20. Cocca A, Espino Verdugo F, Ródenas Cuenca LT, et al. Effect of a Game-Based Physical Education Program on Physical Fitness and Mental Health in Elementary School Children. International Journal of Environmental Research and Public Health. 2020; 17(13): 4883. doi: 10.3390/ijerph17134883

21. Ramirez-Campillo R, García-Hermoso A, Moran J, et al. The effects of plyometric jump training on physical fitness attributes in basketball players: A meta-analysis. Journal of Sport and Health Science. 2022; 11(6): 656-670. doi: 10.1016/j.jshs.2020.12.005

22. Kljajević V, Stanković M, Đorđević D, et al. Physical Activity and Physical Fitness among University Students—A Systematic Review. International Journal of Environmental Research and Public Health. 2021; 19(1): 158. doi: 10.3390/ijerph19010158

23. Simonsen C, Thorsen-Streit S, Sundberg A, et al. Effects of high-intensity exercise training on physical fitness, quality of life and treatment outcomes after oesophagectomy for cancer of the gastro-oesophageal junction: PRESET pilot study. BJS Open. 2020; 4(5): 855-864. doi: 10.1002/bjs5.50337

24. Neil-Sztramko SE, Caldwell H, Dobbins M. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database of Systematic Reviews. 2021; 2021(9). doi: 10.1002/14651858.cd007651.pub3

25. Zhamardiy VO, Shkola OM, Okhrimenko IM, et al. Checking of the methodical system efficiency of fitness technologies application in students’ physical education. Wiadomości Lekarskie. 2020; 73(2): 332-341. doi: 10.36740/wlek202002125

26. Nuzzo JL. The Case for Retiring Flexibility as a Major Component of Physical Fitness. Sports Medicine. 2019; 50(5): 853-870. doi: 10.1007/s40279-019-01248-w

27. Sánchez-Muñoz C, Muros JJ, Cañas J, et al. Anthropometric and Physical Fitness Profiles of World-Class Male Padel Players. International Journal of Environmental Research and Public Health. 2020; 17(2): 508. doi: 10.3390/ijerph17020508

28. Saunders DH, Sanderson M, Hayes S, et al. Physical fitness training for stroke patients. Cochrane Database of Systematic Reviews. 2020; 2020(3). doi: 10.1002/14651858.cd003316.pub7

29. Huang J, Kaewunruen S, Ning J. AI-Based Quantification of Fitness Activities Using Smartphones. Sustainability. 2022; 14(2): 690. doi: 10.3390/su14020690

Published
2024-11-19
How to Cite
Jing, J. (2024). The real-time application and effectiveness assessment of an intelligent physical fitness testing system in physical training. Molecular & Cellular Biomechanics, 21(3), 223. https://doi.org/10.62617/mcb223
Section
Article