Accès libre

Advancing Artistic Swimming Officiating and Performance Assessment: A Computer Vision Study Using MediaPipe

, , , , , ,  et   
16 sept. 2024
À propos de cet article

Citez
Télécharger la couverture

Annino, G., Bonaiuto, V., Campoli, F., Caprioli, L., Edriss, S., Padua, E., Panichi, E., Romagnoli, C., Romagnoli, N., & Zanela, A. (2023). Assessing Sports Performances Using an Artificial Intelligence-Driven System. 2023 IEEE International Workshop on Sport, Technology and Research (STAR), 98-103. Search in Google Scholar

Annino, G., Romagnoli, C., Zanela, A., Melchiorri, G., Viero, V., Padua, E., & Bonaiuto, V. (2021). Kinematic analysis of water polo player in the vertical thrust performance to determine the force-velocity and power-velocity relationships in water: A preliminary study. International Journal of Environmental Research and Public Health, 18(5), 2587. Search in Google Scholar

Barr, B. L., McIntosh, V. V., Britt, E. F., Jordan, J., & Carter, J. D. (2024). Visualizing Agreement: Bland-Altman Plots as a Supplement to Inter-Rater Reliability Indices. Measurement: Interdisciplinary Research and Perspectives, 1-13. Search in Google Scholar

Bean, D. P. (2005). Synchronized swimming: An American history. McFarland. Search in Google Scholar

Bentley, D. J., Viana, E., & Logan-Sprenger, H. M. (2022). Metabolic and performance responses to a simulated routine in elite artistic swimmers. Sports, 10(12), 190. Search in Google Scholar

Bland, J. (2006). How should I calculate a within-subject coefficient of variation. Frequently Asked Questions on the Design and Analysis of Measurement Studies Retrieved, 22(08), 07. Search in Google Scholar

Bland, J. M., & Altman, D. G. (1996). Measurement error proportional to the mean. BMJ: British Medical Journal, 313(7049), 106. Search in Google Scholar

Buttar, A. M., Ahmad, U., Gumaei, A. H., Assiri, A., Akbar, M. A., & Alkhamees, B. F. (2023). Deep learning in sign language recognition: A hybrid approach for the recognition of static and dynamic signs. Mathematics, 11(17), 3729. Search in Google Scholar

Chidambaram, V., Gopalsamy, M. M., & Kanchan, B. K. (2023). Ergonomic investigations on novel dynamic postural estimator using blaze pose and transfer learning. Ergonomics, 1-17. Search in Google Scholar

Chieffo, C., & Motta, F. (2021). Validation of IMU-based simulation for water exercises kinematics. Search in Google Scholar

Cooper, H., & Hedges, L. (1994). The handbook of research synthesis Russell Sage Foundation. New York. Search in Google Scholar

Dabo, I., Perić, M., & Budalica, N. (2021). DOES THE ARTISTIC SWIMMERS’ PHYSICAL APPEARANCE INFLUENCE THE JUDGES FIGURE SCORES? 9TH INTERNATIONAL SCIENTIFIC CONFERENCE ON KINESIOLOGY, 743. Search in Google Scholar

Edriss, S., Romagnoli, C., Caprioli, L., Zanela, A., Panichi, E., Campoli, F., Padua, E., Annino, G., & Bonaiuto, V. (2024). The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications. Applied Sciences, 14(3), 1012. Search in Google Scholar

Fernández-González, P., Koutsou, A., Cuesta-Gómez, A., Carratalá-Tejada, M., Miangolarra- Page, J. C., & Molina-Rueda, F. (2020). Reliability of kinovea® software and agreement with a three-dimensional motion system for gait analysis in healthy subjects. Sensors, 20(11), 3154. Search in Google Scholar

FINA. (2022). Artistic Swimming | Figures Manual 2022—2025 (pp. 1-477). Federation Internationale de Natation. https://resources.fina.org/fina/document/2023/01/12/38c73e1c-6dfa-4919-bf64-328e4260aff8ZFigures-Manual-2022-2025-ALL.pdf Search in Google Scholar

Gambarelli, G. (2008). The “coherent majority average” for juries’ evaluation processes. Journal of Sports Sciences, 26(10), 1091-1095. Search in Google Scholar

Giavarina, D. (2015). Understanding bland altman analysis. Biochemia Medica, 25(2), 141— 151. Search in Google Scholar

He, L., & Luo, Q. (2021). The development and research of Chinese Artistic Swimming under the background of big data-compared with the worlds top three teams. 2021 International Conference on Information Technology and Contemporary Sports (TCS), 318-321. Search in Google Scholar

Hyslop, N. P., & White, W. H. (2009). Estimating precision using duplicate measurements. Journal of the Air & Waste Management Association, 59(9), 1032-1039. Search in Google Scholar

Kim, J.-W., Choi, J.-Y., Ha, E.-J., & Choi, J.-H. (2023). Human pose estimation using mediapipe pose and optimization method based on a humanoid model. Applied Sciences, 13(4), 2700. Search in Google Scholar

Kim, S., Park, S., Love, A., & Pang, T. C. (2021). Coaching style, sport enjoyment, and intent to continue participation among artistic swimmers. International Journal of Sports Science & Coaching, 16(3), 477-489. Search in Google Scholar

Laski, V., CSELKÓ, A., & WILHELM, M. (2019). OP-BN10 Testing and training in swimming I. BOOK OF ABSTRACTS, 277. Search in Google Scholar

Laski, V., Ureczky, D., & Wilhelm, M. (2024). Investigation of Factors Related to Sport- Specific Compulsory Element Execution in Artistic Swimming. Sports, 12(4), 96. Search in Google Scholar

Mahulkar, S., Patil, H., Patil, A., & Bhoske, A. (2023). SMART SECURITY SURVEILLANCE SYSTEM USING AI AND ML. https://www.doi.org/10.56726/IRJMETS39893 Search in Google Scholar

Markov, A., & Dzimbova, T. (2023). Analysis of anthropometric and physical characteristics of athletes engaged in artistic gymnastics and artistic swimming. Trakia Journal of Sciences, 2, 138-141. Search in Google Scholar

Martinez, R., Assila, N., Monga-Dubreuil, E., Desmyttere, G., & Begon, M. (2022). Predicting eggbeater kick performances from hip joint function testing in artistic swimming. https://doi.org/10.51224/SRXIV.227 Search in Google Scholar

Ntomali, S., Adamakis, M., Venetsanou, F., Chairopoulou, C., & Psychountaki, M. (2021). Which factors are influencing artistic swimming performance? European Journal of Physical Education and Sport Science, 6(12). Search in Google Scholar

Peric, M., Zenic, N., Mandic, G., Sekulic, D., & Sajber, D. (2012). The reliability, validity and applicability of two sport-specific power tests in synchronized swimming. Journal of Human Kinetics, 32(2012), 135-145. Search in Google Scholar

Pété, E., Goisbault, M., Martinent, G., & Doron, J. (2023). The winding road to the Tokyo Olympics: A dynamic approach to the relationships between stress appraisal, coping, performance, and burnout among an artistic swimming team. Sport, Exercise, and Performance Psychology, 12(3), 172. Search in Google Scholar

Ponciano, K. R., Leopoldo, M. P., Oliveira, D. L., & Meira, C. M. (2023). Visual Search, Pupillary Response and Performance of Expert and Novice Judges in the Evaluation of Artistic Swimming Figures. Pupillary Response and Performance of Expert and Novice Judges in the Evaluation of Artistic Swimming Figures. Search in Google Scholar

Pueo, B., Penichet-Tomas, A., & Jimenez-Olmedo, J. M. (2020). Validity, reliability and usefulness of smartphone and kinovea motion analysis software for direct measurement of vertical jump height. Physiology & Behavior, 227, 113144. Search in Google Scholar

Puig-Diví, A., Escalona-Marfil, C., Padullés-Riu, J. M., Busquets, A., Padullés-Chando, X., & Marcos-Ruiz, D. (2019). Validity and reliability of the Kinovea program in obtaining angles and distances using coordinates in 4 perspectives. PloS One, 14(6), e0216448. Search in Google Scholar

Radaš, J., Parlov, J., Furjan-Mandić, G., & Katović, D. (2021). The influence of giving different feedback on the level of learning in artistic swimming. 9th International Scientific Conference on Kinesiology, 626. Search in Google Scholar

Rincón, A. B., Trinidad Morales, A., & López-Valenciano, A. (2023). Bibliometric study on artistic swimming. Frontiers in Sports and Active Living, 5, 1196144. Search in Google Scholar

Romagnoli, C., Ditroilo, M., Bonaiuto, V., Annino, G., & Gatta, G. (2022). Paddle propulsive force and power balance: A new approach to performance assessment in flatwater kayaking. Sports Biomechanics, 1-14. Search in Google Scholar

Training, S. (2020). Effect of two periods of power training on performance in the thrust, barracuda and boost exercises in synchronised swimming. Apunts Educatión Física y Deportes, 36(142), 35-45. Search in Google Scholar

Vathagavorakul, R., Gonjo, T., & Homma, M. (2020). The effect of experience in movement coordination with music on polyrhythmic production: Comparison between artistic swimmers and water polo players during eggbeater kick performance. Plos One, 15(8), e0238197. Search in Google Scholar

Vathagavorakul, R., Gonjo, T., & Homma, M. (2021). Differences in limb coordination in polyrhythmic production among water polo players, artistic swimmers and drummers. Journal of Motor Behavior, 53(2), 191-199. Search in Google Scholar

Viana, E., Bentley, D. J., & Logan-Sprenger, H. M. (2019). A physiological overview of the demands, characteristics, and adaptations of highly trained artistic swimmers: A literature review. Sports Medicine-Open, 5(1), 16. Search in Google Scholar

Viana, E., Bentley, D. J., & Logan-Sprenger, H. M. (2020). Relationship between VO2max, under water swim testing and artistic swim solo performance. Sports Medicine International Open, 4(01), E27-E31. Search in Google Scholar

Yue, L., Zhang, J., Cui, W., Yang, R., & Yin, J. (2023). Maximizing choreography and performance in artistic swimming team free routines: The role of hybrid figures. Scientific Reports, 13(1), 21303. Search in Google Scholar

Zinzen, E., Antonis, J., Cabri, J., Serneels, P., & Clarys, J. (2013). Synchro-swimming: An EMG-study of the arm muscles during the scull movement in the “single ballet leg alternate”. In Biomechanics and Medicine in Swimming VI (pp. 102-106). Taylor & Francis. Search in Google Scholar