Suchergebnisse - Big data

Stokes, T., Bagga, G., Kroetch, K., Kumagai, B., Welsh, L. “… We apply this methodology to one-mile horse races using frame-level tracking data provided by the New York Racing Association (NYRA) and the New York Thoroughbred Horsemen`s Association (NYTHA) for the Big Data Derby 2022 Kaggle Competition.  …”

Hamada, K., Okazaki, S., Nakagawa, K. “… During the calibration, the subjects were instructed to face forward and align both upper limbs with the trunk so that the joint angle reference points would not shift, and the feet were grounded parallel to the ground and the distance between the big toes was standardized at 10 cm. To assess the reliability of same-day measurement data, running measurements were taken twice daily on a treadmill (BIODEX, PRO WWT-600) at 10.0 km/h for 30 s.  …”

Born, D.-P., Stöggl, T., Lorentzen, J., Romann, M., Björklund, G. “… Objectives To evaluate the new age groups of the World Junior Championships in swimming from a scientific perspective, establish benchmarks and performance corridors that predict success at peak performance age and compare performance corridors between men and women and short-, middle-, and long-distance freestyle races. Design Longitudinal big data analysis. Methods In total, 347,186 annual best times of male (n = 3360, 561 ± 177 Swimming Points) and female freestyle swimmers (n = 2570, 553 ± 183 Swimming Points) were collected across all race distances at peak performance age and retrospectively analyzed throughout adolescence.  …”

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).  …”

Le Mat, F., Gery, M., Besson, T., Ferdynus, C., Bouscaren, N., Millet, G. Y. “… Laufausdauer von Frauen im Vergleich zu Männern: retrospektive Analyse von abgeglichenen Big Data aus der realen Welt …”

Cook, G. M., Fletcher, D., Peyrebrun, M. “… The questionnaires assessed perceptions of 12 variables within the Big Five personality traits, the dark triad, and emotional intelligence, and the data was analyzed using three one-way multivariate analysis of variance and follow-up univariate F-tests.  …”

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.  …”

Cook, G. M., Fletcher, D., Peyrebrune, M. “… The questionnaires assessed 12 variables within the Big Five personality traits, the dark triad, and emotional intelligence, and the data was analyzed using three one-way multivariate analysis of variance and follow-up univariate F-tests.  …”

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?  …”

Emig, T., Peltonen, J. “… Menschliche Laufleistung aus Big Data der tatsächlichen Welt …”

Lee, S.-H., Park, J.-C., Kim, K.-B., Kim, S.-J., Ko, B.-G. “… The fencing event plays a major role in passing the qualifiers and is a big variable for good performance in the finals.  …”

Xin, Z. W. “… With the correction action in technical movements and new system training programs to increase the speed of the swim, the study has a big breakthrough in the future of the swim team.This study has carried out data analysis of the swimming team of a primary school in Guangzhou and national team of China, so as to study the training program of the most suitable members to improve the performance of the team members of the swimming team.  …”

Park, J.-C., Lee, S.-H. “… Big Data …”

Harmer, P. A. “… Big Data …”

Willy, R. W. “… What makes a wearable device valuable? 5. Wearables and big data: predicting running performance and the epidemiology of running injuries 6.  …”

de Leeuw, A.-W., Meerhoff, L. A., Knobbe, A. “… Big data …”

Ferber, R. “… We also know that this goal of extracting and analysing big data via high-performance computing is only possible through a collaborative and international community: one we continue to build. …”

Sha, L., Lucey, P., Morgan, S., Sridharan, S., Pease, D. “… Big Data …”

Kunitson, V., Port, K., Pedak, K. “… Finswimming is a sport where athlete uses one big monofin to produce propulsion. The purpose of this study was to describe relationship between isokinetic strength of different muscle groups and 100 meters finswimming time.  …”

Lehari, T. “… Fortschritte im Schwimmen durch Big Data …”