Suchergebnisse - Entropy

Li, Z., Zhang, B., Wang, H., Gouda, M. A. “… We recruited basketball physical education (B-PE) and non-PE majors to conduct a controlled isotonic contraction experiment to collect and analyze sEMG signals. The sample entropy event detection method was utilized to extract the epochs of active segments of data.  …”

Marques, R. C. A., Mendes, R. S. M., Martins, F. M. L., Gomes, R. M. M., Coelho-E-Silva, M. J., Dias, G. N. F. “… Measures of unpredictability or irregularity in biological time series were analysed through the Coefficient of Variation (CV%) values of Shannon`s Entropy. Results show that gaze behaviour of both age groups is characterised by an average dispersion (CV% values between 18 and 27).  …”

Caballero, C., Barbado, D., Urbán, T., García-Herrero, J. A., Moreno, F. J. “… Entropy …”

Itoda, K., Watanabe, N., Takefuji, Y. “… We focus on handball as an example of goal-type ball games and analyze causality between teammates` behaviors from tracking data with Hidden Semi-Markov Model (HSMM) and delayed Transfer Entropy (dTE). Although `off-the-ball` behaviors are a crucial component of cooperation, most research tends to focus on `on-the-ball` behaviors, and relations of behaviors are only known as tacit knowledge of coaches or players.  …”

Hobbs, W., Morgan, S., Gorman, A. D., Mooney, M., Freeston, J. “… Unvorhersehbar spielen: Messung der Entropie von Flugbahnen von Bällen im internationalen Frauenbasketball …”

Hobbs, W., Wu, P. P.-Y., Gorman, A. D., Mooney, M., Freeston, J. “… Bayes'sche hierarchische Modellierung von Basketball-Trackingdaten - eine Fallstudie über räumliche Entropie und Wirksamkeit …”

Robalo, R., Diniz, A., Fernandes, O., Passos, P. “… A variability analysis (correlation dimension, approximate entropy and Lyapunov exponent) was used to evaluate how an increased variability or stability, in a specific joint movement, contributes to a better adaptive behaviour when facing perceptual impairment.  …”

Mateus, N., Gonçalves, B., Weldon, A., Sampaio, J. “… The variables collected were technical (field-goals made and missed, offensive and defensive rebounds, steals, passes, dribble-drive, give-and-go and ball possessions), physiological (heart rate monotony and sample entropy), workload (total distance covered and distance covered at different velocities) and positioning-related (distance to the nearest opponent, distance to the nearest teammate, stretch-index and distance between centroids).  …”

Hobbs, W. “… Unvorhersehbarkeit im Basketball: Eine Untersuchung der Auswirkungen der Entropie der Ballbewegung auf die Leistung im internationalen Frauenbasketball …”

Schrapf, N., Rudelsdorfer, P., Tilp, M. “… In order to obtain suitable entropy, data was enlarged by multiplication to a quantity of 7280 datasets with a noise of 5% and subsequently permutated to minimize unwanted learning effects due to duplication.  …”

Hall, O. P. “… The analysis also introduced a relatively new sports performance metric—entropy, which can be used to measure the degree of disorder at both the player and the team level.  …”

Kempe, M., Grunz, A., Memmert, D. “… The training success of both networks was evaluated by achieved entropy. The second half of the basketball game was presented to both nets for automatic classification.  …”

Leite, N. M., Leser, R., Gonçalves, B., Calleja-Gonzalez, J., Baca, A., Sampaio, J. “… The positional data were captured by the Ubisense Real Time Location System and analysed with non-linear signal processing methods (approximate entropy) and repeated measures ANOVA. There were differences in the regularity values between F¼ and FULL in distance to the basket and to the opponents` basket.  …”

Lopez, F. A., Martinez, J. A., Ruiz, M. “… In addition, we have also used a test based on entropy, the V-test, which serves to statistically compare shooting maps.  …”

Zamunér, A. R., Silva, E., Teodori, R. M., Catai, A. M., Moreno, M. A. “… The heart rate variability was evaluated by linear (low frequency and high frequency band in normalised units and low frequency/high frequency ratio) and nonlinear methods (Shannon entropy, corrected conditional entropy, and symbolic analysis).  …”

de Saa Guerra, Y., Martin Gonzalez, J. M., Garcia-Manso, J. M. “… We studied 18 NBA and 14 ACB regular seasons. Both leagues´ entropy levels are high (NBA mean 0.984; ACB mean 0.979), which indicates high competitiveness, but the entropy of the ACB (from 0.972 to 0.987) shows more seasonal variability than the NBA (from 0.985 to 0.990).  …”