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The use of wearable devices in the assessment of basketball players’ athletic performance

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Mar 24, 2025

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Wen, N., Dalbo, V. J., Burgos, B., Pyne, D. B., & Scanlan, A. T. (2018). Power testing in basketball: Current practice and future recommendations. The Journal of Strength & Conditioning Research, 32(9), 2677-2691. WenN.DalboV. J.BurgosB.PyneD. B. & ScanlanA. T. (2018). Power testing in basketball: Current practice and future recommendations. The Journal of Strength & Conditioning Research, 32(9), 2677-2691.Search in Google Scholar

Mancha-Triguero, D., García-Rubio, J., Calleja-González, J., & Ibáñez, S. J. (2019). Physical fitness in basketball players: A systematic review. J. Sports Med. Phys. Fit, 59(10.23736), S0022-4707. Mancha-TrigueroD.García-RubioJ.Calleja-GonzálezJ. & IbáñezS. J. (2019). Physical fitness in basketball players: A systematic review. J. Sports Med. Phys. Fit, 59(10.23736), S0022-4707.Search in Google Scholar

de Paula Oliveira, T., & Newell, J. (2024). A hierarchical approach for evaluating athlete performance with an application in elite basketball. Scientific reports, 14(1), 1717. de Paula OliveiraT. & NewellJ. (2024). A hierarchical approach for evaluating athlete performance with an application in elite basketball. Scientific reports, 14(1), 1717.Search in Google Scholar

Sarlis, V., & Tjortjis, C. (2020). Sports analytics—Evaluation of basketball players and team performance. Information Systems, 93, 101562. SarlisV. & TjortjisC. (2020). Sports analytics—Evaluation of basketball players and team performance. Information Systems, 93, 101562.Search in Google Scholar

Li, L., & Zhang, W. (2022). Evaluation of competitive performance ability of basketball players based on hybrid Model. Mathematical Problems in Engineering, 2022(1), 5630295. LiL. & ZhangW. (2022). Evaluation of competitive performance ability of basketball players based on hybrid Model. Mathematical Problems in Engineering, 2022(1), 5630295.Search in Google Scholar

Seshadri, D. R., Li, R. T., Voos, J. E., Rowbottom, J. R., Alfes, C. M., Zorman, C. A., & Drummond, C. K. (2019). Wearable sensors for monitoring the physiological and biochemical profile of the athlete. NPJ digital medicine, 2(1), 72. SeshadriD. R.LiR. T.VoosJ. E.RowbottomJ. R.AlfesC. M.ZormanC. A. & DrummondC. K. (2019). Wearable sensors for monitoring the physiological and biochemical profile of the athlete. NPJ digital medicine, 2(1), 72.Search in Google Scholar

Luczak, T., Burch, R., Lewis, E., Chander, H., & Ball, J. (2020). State-of-the-art review of athletic wearable technology: What 113 strength and conditioning coaches and athletic trainers from the USA said about technology in sports. International Journal of Sports Science & Coaching, 15(1), 26-40. LuczakT.BurchR.LewisE.ChanderH. & BallJ. (2020). State-of-the-art review of athletic wearable technology: What 113 strength and conditioning coaches and athletic trainers from the USA said about technology in sports. International Journal of Sports Science & Coaching, 15(1), 26-40.Search in Google Scholar

Passos, J., Lopes, S. I., Clemente, F. M., Moreira, P. M., Rico-González, M., Bezerra, P., & Rodrigues, L. P. (2021). Wearables and Internet of Things (IoT) technologies for fitness assessment: a systematic review. Sensors, 21(16), 5418. PassosJ.LopesS. I.ClementeF. M.MoreiraP. M.Rico-GonzálezM.BezerraP. & RodriguesL. P. (2021). Wearables and Internet of Things (IoT) technologies for fitness assessment: a systematic review. Sensors, 21(16), 5418.Search in Google Scholar

Cosoli, G., Antognoli, L., Veroli, V., & Scalise, L. (2022). Accuracy and precision of wearable devices for real-time monitoring of swimming athletes. Sensors, 22(13), 4726. CosoliG.AntognoliL.VeroliV. & ScaliseL. (2022). Accuracy and precision of wearable devices for real-time monitoring of swimming athletes. Sensors, 22(13), 4726.Search in Google Scholar

Assalve, G., Lunetti, P., Di Cagno, A., De Luca, E. W., Aldegheri, S., Zara, V., & Ferramosca, A. (2024). Advanced Wearable Devices for Monitoring Sweat Biochemical Markers in Athletic Performance: A Comprehensive Review. Biosensors, 14(12), 574. AssalveG.LunettiP.Di CagnoA.De LucaE. W.AldegheriS.ZaraV. & FerramoscaA. (2024). Advanced Wearable Devices for Monitoring Sweat Biochemical Markers in Athletic Performance: A Comprehensive Review. Biosensors, 14(12), 574.Search in Google Scholar

Latino, F., & Tafuri, F. (2024). Wearable Sensors and the Evaluation of Physiological Performance in Elite Field Hockey Players. Sports, 12(5), 124. LatinoF. & TafuriF. (2024). Wearable Sensors and the Evaluation of Physiological Performance in Elite Field Hockey Players. Sports, 12(5), 124.Search in Google Scholar

Kakhkharov, A., Shukurov, K., & Kholdorov, S. (2023). ENHANCING ATHLETE PERFORMANCE: A COMPREHENSIVE ANALYSIS USING WEARABLE TECHNOLOGY. Science and innovation, 2(A11), 240-247. KakhkharovA.ShukurovK. & KholdorovS. (2023). ENHANCING ATHLETE PERFORMANCE: A COMPREHENSIVE ANALYSIS USING WEARABLE TECHNOLOGY. Science and innovation, 2(A11), 240-247.Search in Google Scholar

Ray, T., Choi, J., Reeder, J., Lee, S. P., Aranyosi, A. J., Ghaffari, R., & Rogers, J. A. (2019). Soft, skin-interfaced wearable systems for sports science and analytics. Current Opinion in Biomedical Engineering, 9, 47-56. RayT.ChoiJ.ReederJ.LeeS. P.AranyosiA. J.GhaffariR. & RogersJ. A. (2019). Soft, skin-interfaced wearable systems for sports science and analytics. Current Opinion in Biomedical Engineering, 9, 47-56.Search in Google Scholar

Lv, M. (2024). Construction of Athletes’ Physical Condition Monitoring and Analysis System Using Biometrics Recognition Technology. Journal of Electrical Systems, 20(6s), 2082-2091. LvM. (2024). Construction of Athletes’ Physical Condition Monitoring and Analysis System Using Biometrics Recognition Technology. Journal of Electrical Systems, 20(6s), 2082-2091.Search in Google Scholar

Saponara, S. (2017). Wearable biometric performance measurement system for combat sports. IEEE Transactions on Instrumentation and Measurement, 66(10), 2545-2555. SaponaraS. (2017). Wearable biometric performance measurement system for combat sports. IEEE Transactions on Instrumentation and Measurement, 66(10), 2545-2555.Search in Google Scholar

De Fazio, R., Mastronardi, V. M., De Vittorio, M., & Visconti, P. (2023). Wearable sensors and smart devices to monitor rehabilitation parameters and sports performance: an overview. Sensors, 23(4), 1856. De FazioR.MastronardiV. M.De VittorioM. & ViscontiP. (2023). Wearable sensors and smart devices to monitor rehabilitation parameters and sports performance: an overview. Sensors, 23(4), 1856.Search in Google Scholar

Waqar, A., Ahmad, I., Habibi, D., Hart, N., & Phung, Q. V. (2021). Enhancing athlete tracking using data fusion in wearable technologies. IEEE Transactions on Instrumentation and Measurement, 70, 1-13 WaqarA.AhmadI.HabibiD.HartN. & PhungQ. V. (2021). Enhancing athlete tracking using data fusion in wearable technologies. IEEE Transactions on Instrumentation and Measurement, 70, 1-13Search in Google Scholar

Wang, H., Li, L., Chen, H., Li, Y., Qiu, S., & Gravina, R. (2019, October). Motion recognition for smart sports based on wearable inertial sensors. In EAI International Conference on Body Area Networks (pp. 114-124). Cham: Springer International Publishing. WangH.LiL.ChenH.LiY.QiuS. & GravinaR. (2019, October). Motion recognition for smart sports based on wearable inertial sensors. In EAI International Conference on Body Area Networks (pp. 114-124). Cham: Springer International Publishing.Search in Google Scholar

Li, S., & Zhang, W. (2022). Evaluation Method of Basketball Teaching and training effect based on Wearable device. Frontiers in Physics, 10, 900169. LiS. & ZhangW. (2022). Evaluation Method of Basketball Teaching and training effect based on Wearable device. Frontiers in Physics, 10, 900169.Search in Google Scholar

Yuan, B., Kamruzzaman, M. M., & Shan, S. (2021). Application of motion sensor based on neural network in basketball technology and physical fitness evaluation system. Wireless Communications and Mobile Computing, 2021(1), 5562954. YuanB.KamruzzamanM. M. & ShanS. (2021). Application of motion sensor based on neural network in basketball technology and physical fitness evaluation system. Wireless Communications and Mobile Computing, 2021(1), 5562954.Search in Google Scholar

Shankar, S., Suresh, R. P., Talasila, V., & Sridhar, V. (2018, December). Performance measurement and analysis of shooting form of basketball players using a wearable IoT system. In 2018 IEEE 8th International Advance Computing Conference (IACC) (pp. 26-32). IEEE. ShankarS.SureshR. P.TalasilaV. & SridharV. (2018, December). Performance measurement and analysis of shooting form of basketball players using a wearable IoT system. In 2018 IEEE 8th International Advance Computing Conference (IACC) (pp. 26-32). IEEE.Search in Google Scholar

Wu, S., Hoelzemann, A., Bock, M., Van Laerhoven, K., Plötz, T., & Adams, A. T. (2024, October). Basketball Shooting Performance Analysis Using Multi-Modal Wearable and Mobile Sensing in Semi-Naturalistic Settings. In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN) (pp. 1-4). IEEE. WuS.HoelzemannA.BockM.Van LaerhovenK.PlötzT. & AdamsA. T. (2024, October). Basketball Shooting Performance Analysis Using Multi-Modal Wearable and Mobile Sensing in Semi-Naturalistic Settings. In 2024 IEEE 20th International Conference on Body Sensor Networks (BSN) (pp. 1-4). IEEE.Search in Google Scholar

Liu, G., & Liu, Y. (2023). Application of wearable devices based on deep learning algorithm in basketball posture recognition. Soft Computing, 1-10. LiuG. & LiuY. (2023). Application of wearable devices based on deep learning algorithm in basketball posture recognition. Soft Computing, 1-10.Search in Google Scholar

Ren, H., & Wang, X. (2021). Application of wearable inertial sensor in optimization of basketball player’s human motion tracking method. Journal of Ambient Intelligence and Humanized Computing, 1-15. RenH. & WangX. (2021). Application of wearable inertial sensor in optimization of basketball player’s human motion tracking method. Journal of Ambient Intelligence and Humanized Computing, 1-15.Search in Google Scholar

Goud, P. S. H. V., Roopa, Y. M., & Padmaja, B. (2019, March). Player performance analysis in sports: with fusion of machine learning and wearable technology. In 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) (pp. 600-603). IEEE. GoudP. S. H. V.RoopaY. M. & PadmajaB. (2019, March). Player performance analysis in sports: with fusion of machine learning and wearable technology. In 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) (pp. 600-603). IEEE.Search in Google Scholar

Camomilla, V., Bergamini, E., Fantozzi, S., & Vannozzi, G. (2018). Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review. Sensors, 18(3), 873. CamomillaV.BergaminiE.FantozziS. & VannozziG. (2018). Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review. Sensors, 18(3), 873.Search in Google Scholar

Iervolino, R., Bonavolontà, F., & Cavallari, A. (2017, September). A wearable device for sport performance analysis and monitoring. In 2017 IEEE international workshop on measurement and networking (M&N) (pp. 1-6). IEEE. IervolinoR.BonavolontàF. & CavallariA. (2017, September). A wearable device for sport performance analysis and monitoring. In 2017 IEEE international workshop on measurement and networking (M&N) (pp. 1-6). IEEE.Search in Google Scholar

Softić, A., Hundur, M., Spahić, L., Ašić, A., & Pokvić, L. G. (2024). The utility of wearable devices in predicting the improvement methods of persons’ sports performance. Procedia Computer Science, 246, 4909-4915. SoftićA.HundurM.SpahićL.AšićA. & PokvićL. G. (2024). The utility of wearable devices in predicting the improvement methods of persons’ sports performance. Procedia Computer Science, 246, 4909-4915.Search in Google Scholar

Anastasiou, A., Nikaki, A., Pitoglou, S., & Koumpouros, Y. (2022). Proposed Design and Assessment Methodology of a Wearable Device for Prevention and Performance Evaluation of Athletes. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 11(1), 1-13 AnastasiouA.NikakiA.PitoglouS. & KoumpourosY. (2022). Proposed Design and Assessment Methodology of a Wearable Device for Prevention and Performance Evaluation of Athletes. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 11(1), 1-13Search in Google Scholar

Migliaccio, G. M., Padulo, J., & Russo, L. (2024). The impact of wearable technologies on marginal gains in sports performance: An integrative overview on advances in sports, exercise, and health. Applied Sciences, 14(15), 6649. MigliaccioG. M.PaduloJ. & RussoL. (2024). The impact of wearable technologies on marginal gains in sports performance: An integrative overview on advances in sports, exercise, and health. Applied Sciences, 14(15), 6649.Search in Google Scholar

Zhenhua Yu,Yalou Han,Lukas Cha,Shihong Chen,Zeyu Wang & Yang Zhang. (2024). Design of an intelligent wearable device for real-time cattle health monitoring. Frontiers in Robotics and AI1441960-1441960. YuZhenhuaHanYalouChaLukasChenShihongWangZeyu & ZhangYang. (2024). Design of an intelligent wearable device for real-time cattle health monitoring. Frontiers in Robotics and AI1441960-1441960.Search in Google Scholar

Yiqian Wang,Yang Zou & Zhou Li. (2024). Emerging intelligent wearable devices for cardiovascular health monitoring. Nano Today102544-102544. WangYiqianZouYang & LiZhou. (2024). Emerging intelligent wearable devices for cardiovascular health monitoring. Nano Today102544-102544.Search in Google Scholar

Prabhavathy T.,Vinodh Kumar Elumalai & Balaji E.. (2024). Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier. Applied Soft Computing(PB),112382-112382. Prabhavathy T.ElumalaiVinodh Kumar & Balaji E.. (2024). Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier. Applied Soft Computing(PB),112382-112382.Search in Google Scholar

Talib Irsa,Sundaraj Kenneth & Lam Chee Kiang. (2020). Analysis of the crosstalk in mechanomyographic signals along the longitudinal, lateral and transverse axes of elbow flexor muscles during sustained isometric forearm flexion, supination and pronation exercises. Journal of musculoskeletal & neuronal interactions(2),194-205. IrsaTalibKennethSundaraj & KiangLam Chee. (2020). Analysis of the crosstalk in mechanomyographic signals along the longitudinal, lateral and transverse axes of elbow flexor muscles during sustained isometric forearm flexion, supination and pronation exercises. Journal of musculoskeletal & neuronal interactions(2),194-205.Search in Google Scholar

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