Suchergebnisse - Big data

D. Memmert “… Durch die Integration von Big Data können Spielergebnisse, Fitnessparameter und individuelle Leistungen eingehend analysiert werden, was zu neuen Entwicklungen in der Forschung führt.  …”

Mann, J. B., Cowley, N., Weakley, J. “… This study (a) investigated differences between big, mid, and skill positions in sprint and change of direction times and momentum; (b) compared starting and nonstarting athletes; and (c) investigated whether thresholds can be developed to distinguish between starting and nonstarting Division 1 collegiate football athletes.  …”

Wolf, V., Lanwehr, R., Bieschke, M., Leyhr, D. “… Therefore, this study aims to propose a methodology how a career path can be represented as a time series of a player`s seasonal qualities and then be clustered with players that have a similar career path. The underlying data focuses on soccer players from the five largest European soccer nations (Big-5).  …”

Seshadri, D. R., VanBibber, H. D., Sethi, M. P., Harlow, E. R., Voos, J. E. “… The objective of this retrospective study was to gather big data using the Catapult wearable technology, develop an algorithm for musculoskeletal modeling, and longitudinally determine the workloads of male college soccer (football) athletes at the Division III (DIII) level over the course of a 12-week season.  …”

Forcher, L., Forcher, L., Altmann, S., Jekauc, D., Kempe, M. “… Recently, the availability of big amounts of data enables analysts to dive deeper into the constraints of performance in various team sports.  …”

Modric, T., Versic, S., Morgans, R., Sekulic, D. “… In order to identify match running performance (MRP) characterizing the most elite soccer matchplay, this study aimed to examine position-specific differences in the MRP of players competing in "big five" (BFLTs) and "non-big five" league teams (N-BFLTs).  …”

de Jong, L. M. S., Gastin, P. B., Bruce, L., Dwyer, D. B. “… Big Data …”

Jankowski, T. “… Football - From Big Data to Smart Data …”

Schulze, E. “… Big data in professional football …”

Sever, O., Cigerci, E., Öztop, M., Ipekoglu, G., Gönülates, S., Akyildiz, Z., Nobari, H. “… For this purpose, in this long-term study, 1836 competition data played in 6 seasons between 2014 and 2020 was obtained from www.mackolik.com each year.  …”

Fernando, S., Cátia, F., Mário, E. “… Participating players compete in the district football championships 7 and 9, national under-15 championship and U-23 Revelation League.The data were collected through GPS devices, certified by FIFA, Wimu ProTM, placed on the upper back of the trunk, using wimu-specific vests for this purpose.  …”

Raabe, D. “… Messbare Unterschiede in der Fußballbundesliga anhand von Big Data 4. Möglichkeiten zur Validierung von Leistungsparametern 5.  …”

Chena, M., Morcillo-Losa, J. A., Rodríguez-Hernández, M. L., Asín-Izquierdo, I., Pastora-Linares, B., Zapardiel, J. C. “… GPS technology was used to record the data. One hundred and thirty-two (n = 132) soccer-specific drills were studied and grouped by categories.  …”

“… Big Data …”

Rossi, A., Perri, E., Pappalardo, L., Cintia, P., Alberti, G., Norman, D., Iaia, F. M. “… Big Data …”

Kim, H., Kim, J., Chung, D., Lee, J., Yoon, J., Ko, S.-K. “… Although the values of individual soccer players have become astronomical, subjective judgments still play a big part in the player analysis. Recently, there have been new attempts to quantitatively grasp players` styles using video-based event stream data.  …”

Tierney, G. J., Higgins, B. “… Big Data …”

Dergaa, I., Abdelrahman, H., Varma, A., Yousfi, N., Souissi, A., Ghram, A., Hammad, A. S., Musa, E. R., Taheri, M., Irandoust, K., Chtourou, H., Rafiei, M. M., Ghasemi, M., Farzian, S. “… The current report is a summary of data regarding challenges faced by the COVID-19 vaccination campaign and the challenges for a transition toward normalcy, especially for big sports events.  …”

Pettersen, S. D., Aslaksen, P. M., Pettersen, S. A. “… Background: Previous studies shows that elite and high-level athletes possess consistently higher pain tolerance to ischemic and cold pain stimulation compared to recreationally active. However, the data previously obtained within this field is sparse and with low consistency.  …”

U. Fehr, V. Werner “… Sports Innovation: Smart Equipment and Wearable Technology " Session Informations- und Feedbacksysteme " Sport-Informationssysteme - Review verschiedener Produkte basierend auf einem sportinformatischen Architekturkonzept " Effiziente Suche und Bewertung von Szenen in Spielsportarten " Überprüfung zeitlicher und räumlicher Genauigkeit im Trampolinturnen Validierung einer Web-Applikation zum Fern-Monitoring von Belastungs- und Erholungsparametern " Einsatzmöglichkeiten und Transfer von Künstlicher Intelligenz im internationalen Spitzensport - zwischen Small und Big Data " Einsatz von Künstlicher Intelligenz im internationalen Spitzensport - Eine Erhebung des Status Quo " Darstellung von Informationen im Bereich des Peripheren Sehens bei Sportlern/innen " Session Messtechnik und Datenanalyse 1 " Eignet sich OpenPose zur 3-D-Analyse im Leistungssport?  …”