Search Results - Complex systems in Sport

Zhang, C., Fan, Z., Kang, Y. “…Wearable sensing systems are often constrained by the number of available signal channels: expanding the sensor number typically improves human motion monitoring but drives up hardware complexity. …”

Tajik, R., Dhahbi, W., Fadaei, H., Mimar, R. “…Introduction: This study aimed to quantify shoulder muscle synergies during badminton forehand overhead smash (BFOS) via non-negative matrix factorization (NMF), validate musculoskeletal (MSK) models for high-speed movements by comparing electromyography (EMG)-derived synergies with simulation results, and explore the potential of NMF-based MSK models in advancing sports science. Methods: Twenty elite badminton players (age: 24 ± 4 years; experience: 15 ± 4 years) performed maximal-effort BFOS while EMG signals from fifteen shoulder muscles were recorded. …”

Konstantinou, G. N., Kloiber, S., Blumberger, D. M. “…However, competitive tennis also presents significant psychological demands, including elevated stress levels and susceptibility to maladaptive coping behaviors. To address these complexities, this review introduces the Resilience Racket Model, a conceptual framework representing the integration of physical readiness, psychological resilience, and systemic support. …”

Wong, P., Myint, H., Dooley, L., Hopgood, A. “…This paper presents a low-cost, portable, multi-view table tennis umpiring framework, as a viable alternative to the current expensive systems which are almost exclusively restricted to elite professional sports. …”

Gorce, P., Jacquier-Bret, J.

Edel, A., Vuong, J.-L., Kaufmann, S., Hoos, O., Wiewelhove, T., Ferrauti, A. “…Plain Language Summary Badminton stands out as a high-paced and exceptionally demanding sport, necessitating a very complex interaction between the aerobic and anaerobic metabolic systems. …”

Koopmann, T., Faber, I., Lath, F., Loffing, F., Schorer, J. “…Particularly in early starting sports and those with highly limited resources, systems personified by coaches often select athletes into programs already at a young age, aiming to use resources efficiently on those athletes with the highest potential. …”

Javadiha, M., Andujar, C., Lacasa, E. A. “…Unfortunately, the limitations of traditional table-based methods for analyzing such sport data are twofold. On the one hand, these methods cannot represent complex spatio-temporal queries in a compact, readable way, usable by sport analysts. …”

Phomsoupha, M., Bonneau, F., Laffaye, G.

Renò, V., Mosca, N., Marani, R., Nitti, M., D'Orazio, T., Stella, E. “…Experiments on real data confirm the validity of the proposed approach that achieves 98.77% accuracy and suggest its implementation and integration at a larger scale in more complex vision systems.…”

Kramberger, I., Filipcic, A., Germic, A., Kos, M.

Caine, D., Meyers, R., Nguyen, J., Schöffl, V., Maffulli, N.

Gao, S. “…Artificial intelligence technology has already set its foot in various industries, including sports, to train athletes. In this research article, people will study the application of wireless networks based on artificial intelligence robots in badminton teaching and training. …”

Wang, X.

Gillet, B., Begon, M., Diger, M., Berger-Vachon, C., Rogowski, I.

Korobeynikov, G. V., Mischuk, D. M., Korobeynikova, L. G., Xu, S. “…Much attention is paid to the development of methodological approaches allowing to assess the functional state of the athlete`s nervous system in modern sports science. But, in modern literature there are practically no articles dealing with the study of psychophysiological characteristics of badminton players, which determined the relevance of the research topic. …”

Kozina, Z., Yevtyfiieva, I., Muszkieta, R., Prusik, K., Podstawski, R. “…Results.In the structure of complex training of young athletes were identified 6 main factors: "Special physical and technical-tactical preparedness", "Mobility of the nervous system", "Special endurance", "Short-term memory", "Speed of complex reaction", "Strength nervous system. " The total total variance was 71.3%. …”

M. Khodaee, A. L. Waterbrook, M. Gammons

Xia, K., Wang, H., Xu, M., Li, Z., He, S., Tang, Y. “…In this paper, a racquet sports recognition wristband system and a multilayer hybrid clustering model are proposed to achieve reliable activity recognition and perform number counting. …”

Pardiwala, D. N., Subbiah, K., Rao, N., Modi, R. “…Considered the fastest of the racquet sports, players require aerobic stamina, agility, strength, speed, and precision, besides requiring good motor coordination and complex racquet movements. …”