Abstract
Currently, the use of biometric sensors in physical activity has received considerable interest from academics and industry. Biometric sensors such as heart rate monitors, accelerometers and GPS trackers will provide immediate data on physiological responses, movement patterns and performance metrics. This paper intends to examine the impact of biometric sensors concerning physical training and analyze its use, benefits, and challenges. In addition, the paper discusses the potential of biometric sensors to optimize training methods, improve performance, prevent injuries, and personalize training programs, addressing challenges of data interpretation, privacy concerns, and barriers a it deals with redemption. By analyzing previous research and case studies, this paper provides valuable insights into the use of biometric sensors in physical training and highlights future directions for research and development.
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References
Alghamdi, W.Y.: A novel deep learning method for predicting athletes’ health using wearable sensors and recurrent neural networks. Decis. Anal. J. 7, 1–13 (2023). https://doi.org/10.1016/j.dajour.2023.100213
Ancillao, A., Tedesco, S., Barton, J., O’Flynn, B.: Indirect measurement of ground reaction forces and moments by means of wearable inertial sensors: a systematic review. Sensors 18(8), 2564 (2018). https://doi.org/10.3390/s18082564
Aroganam, G., Manivannan, N., Harrison, D.: Review on wearable technology sensors used in consumer sport applications. Sensors 19(9), 1–26 (2019). https://doi.org/10.3390/s19091983
Bates, M.: The rise of biometrics in sports. IEEE Pulse 11(3), 25–28 (2020). https://doi.org/10.1109/MPULS.2020.2993708
Blasco, J., Chen, T.M., Tapiador, J., Peris-Lopez, P.: A survey of wearable biometric recognition systems. ACM Comput. Surv. (CSUR) 49(3), 1–35 (2016). https://doi.org/10.1145/2968215
Browne, J.D., et al.: Lifestyle modification using a wearable biometric ring and guided feedback improve sleep and exercise behaviors: a 12-Month randomized, placebo-controlled study. Front. Physiol. 2, 1–16 (2021). https://doi.org/10.3389/fphys.2021.777874
Buller, M.J., Delves, S.K., Fogarty, A.L., Veenstra, B.J.: On the real-time prevention and monitoring of exertional heat illness in military personnel. J. Sci. Med. Sport 24(10), 975–981 (2021). https://doi.org/10.1016/j.jsams.2021.04.008
Cilliers, L.: Wearable devices in healthcare: privacy and information security issues. Health Inf. Manage. J. 49(2–3), 150–156 (2020). https://doi.org/10.1177/1833358319851684
Foster, C., Rodriguez-Marroyo, J.A., De Koning, J.J.: Monitoring training loads: the past, the present, and the future. Int. J. Sports Physiol. Perform. 12, 1–7 (2017). https://doi.org/10.1123/IJSPP.2016-0388
Gravina, R., Fortino, G.: Wearable body sensor networks: state-of-the-art and research directions. IEEE Sens. J. 21(11), 12511–12522 (2020). https://doi.org/10.1109/JSEN.2020.3044447
Gupta, S., Kacimi, M., Crispo, B.: Step & turn—a novel bimodal behavioral biometric-based user verification scheme for physical access control. Comput. Secur. 118, 1–14 (2022). https://doi.org/10.1016/j.cose.2022.102722
Hill, C.: Wearables–the future of biometric technology? Biometric Technol. Today 2015(8), 5–9 (2015). https://doi.org/10.1016/S0969-4765(15)30138-7
Jeon, H., Lee, C.: Internet of Things Technology: Balancing privacy concerns with convenience. Telematics Inform. 70, 1–12 (2022). https://doi.org/10.1016/j.tele.2022.101816
Khan, S., Parkinson, S., Grant, L., Liu, N., Mcguire, S.: Biometric systems utilising health data from wearable devices: applications and future challenges in computer security. ACM Comput. Surv. (CSUR) 53(4), 1–29 (2020). https://doi.org/10.1145/3400030
Kristoffersson, A., Lindén, M.: A systematic review of wearable sensors for monitoring physical activity. Sensors 22(2), 573 (2022). https://doi.org/10.3390/s22020573
Li, R.T., Kling, S.R., Salata, M.J., Cupp, S.A., Sheehan, J., Voos, J.E.: Wearable performance devices in sports medicine. Sports Health 8(1), 74–78 (2016). https://doi.org/10.1177/1941738115616917
Liu, J., Huang, G., Hyyppä, J., Li, J., Gong, X., Jiang, X.: A survey on location and motion tracking technologies, methodologies and applications in precision sports. Expert Syst. Appl. 229, 1–19 (2023). https://doi.org/10.1016/j.eswa.2023.120492
Mekruksavanich, S., Jitpattanakul, A.: Biometric user identification based on human activity recognition using wearable sensors: an experiment using deep learning models. Electronics 10(3)(308), 1–21 (2021). https://doi.org/10.3390/electronics10030308
Nithya, N., Nallavan, G.: Role of wearables in sports based on activity recognition and biometric parameters: a survey. En IEEE (Ed.), In: 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 1700–1705). IEEE, (págs. 1700–1705) (2021). Obtenido de https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9395761
Ometov, A., Shubina, V., Klus, L.S., Saafi, S., Pascacio, P., Lohan, E.S.: A survey on wearable technology: History, state-of-the-art and current challenges. Comput. Netw. 193, 108074 (2021). https://doi.org/10.1016/j.comnet.2021.108074
Patel, V., Chesmore, A., Legner, C.M., Pandey, S.: Trends in workplace wearable technologies and connected-worker solutions for next-generation occupational safety, health, and productivity. Adv. Intell. Syst. 4(1), 1–20 (2022). https://doi.org/10.1002/aisy.202100099
Rana, M., Mittal, V.: Wearable sensors for real-time kinematics analysis in sports: a review. IEEE Sens. J. 21(2), 1187–1207 (2020). https://doi.org/10.1109/JSEN.2020.3019016
Sazonov, E.: Wearable sensors: fundamentals, implementation and applications. Academic Press (2020)
Siekańska, M., Bondar, R.Z., di Fronso, S., Blecharz, J., Bertollo, M.: Integrating technology in psychological skills training for performance optimization in elite athletes: A systematic review. Psychol. Sport Exerc. 57, 1–24 (2021). https://doi.org/10.1016/j.psychsport.2021.102008
Su, X., Tong, H., Ji, P.: Activity recognition with smartphone sensors. Tsinghua Sci. Technol. 19(3), 235–249 (2014). Obtenido de https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6838194
Tan, T., et al.: A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation. npj Digital Med. 6(1)(46), 1–13 (2023). https://doi.org/10.1038/s41746-023-00782-2
Vijayan, V., Connolly, J.P., Kelvey, N., Gardiner, P.: Review of wearable devices and data collection considerations for connected health. Sensors 21(16), 5589 (2021)
Zadeh, A., Taylor, D., Bertsos, M., Tillman, T., Nosoudi, N., Bruce, S.: Predicting sports injuries with wearable technology and data analysis. Inf. Syst. Front. 23, 1023–1037 (2021). https://doi.org/10.1007/s10796-020-10018-3
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Guarda, T., Villao, D., Augusto, M.F. (2024). Impact of Biometric Sensors on Physical Activity. In: Guarda, T., Portela, F., Diaz-Nafria, J.M. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2023. Communications in Computer and Information Science, vol 1936. Springer, Cham. https://doi.org/10.1007/978-3-031-48855-9_10
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