Thisani, Sandisiwe Khanyisa
Published in
International Journal of Computer Science in Sport
Major sports events are watched by millions around the world and the prediction of event outcomes is a subject of interest to many stakeholders which underlines the relevance of continuous development and improvement of prediction models. This study uses a factorial design methodology to develop and test 18 Artificial Neural Network (ANN) models fo...
Haddari, Allaeddine Zeghdoudi, Halim Vinoth, Raman
Published in
International Journal of Computer Science in Sport
This paper presents the bivariate Poisson-new XLindley distribution (BPNXLD), which may be used to represent dependent and over-dispersed countdata. Among the characteristics considered are the correlation coefficient, mean, and variance of the distribution. Acomparison with several Bivariate distributions is included. The goodness of fit of this n...
Suzuki, Tomohiro Takeda, Kazuya Fujii, Keisuke
Published in
International Journal of Computer Science in Sport
Automatic fault detection is a major challenge in many sports. In race walking, judges visually detect faults according to the rules. Hence, automatic fault detection systems will help a training of race walking without experts’ visual judgement. Some studies have attempted to use sensors and machine learning to automatically detect faults. However...
Blauberger, P. Fukushima, T. Russomanno, T. G. Lames, M.
Published in
International Journal of Computer Science in Sport
This study examines the possibilities of sensor-instrumented training (SIT) in mid-distance running training sessions. Within this framework, variations of ground contact time (GCT) between straight and curved running, as well as GCT as a fatigue indicator, are explored. Seven experienced runners, with two elite female athletes, participated in two...
Hashim, J. Campelo, A.M. Doyle-Baker, P.K. Cossich, V.R.A. Katz, L.
Published in
International Journal of Computer Science in Sport
We evaluated differences between a six-week exergame-training and a conventional balance training program on the balance and gait speed of older adults’ (>65 years). Forty-two healthy participants were recruited from independent living and community centers and randomized to one of three groups: exergaming balance training (EBT), conventional balan...
Leddy, Chloe Bolger, Richard Byrne, Paul J. Kinsella, Sharon Zambrano, Lilibeth
Published in
International Journal of Computer Science in Sport
There is an ever-present need to objectively measure and analyze sports motion for the determination of correct patterns of motion for skill execution. Developments in performance analysis technologies such as inertial measuring units (IMUs) have resulted in enormous data generation. However, these advances present challenges in analysis, interpret...
Noel, Jordan T.P. Fonseca, Vinicius Prado da Soares, Amilcar
Published in
International Journal of Computer Science in Sport
We make a unique contribution to momentum research by proposing a way to quantify momentum with performance indicators (i.e., features). We argue that due to measurable randomness in the NHL, sequential outcomes’ dependence or independence may not be the best way to approach momentum. Instead, we quantify momentum using a small sample of a team’s r...
Tamaki, Sho Yamagata, Satoshi Hashizume, Sachiko
Published in
International Journal of Computer Science in Sport
The spin of the ball plays a crucial role in table tennis tactics. However, it has rarely been measured and reported for the broadcast audience to better understand table tennis matches. This paper introduces a system designed to measure the spin of a table tennis ball without using electrically synchronized shutters or high-speed cameras. The syst...
Brinkjans, David Paul, Yannik Perl, Jürgen Memmert, Daniel
Published in
International Journal of Computer Science in Sport
In the growing field of data analysis in soccer tracking data is analyzed utilizing increasingly complex methods to account for the dynamic, multifactorial nature of the game. One promising approach is the Success-Score combining ball control and space control. The resulting metric is hypothesized to indicate performance levels and to distinguish p...
Karim, Hassani Marwane, Lotfi
Published in
International Journal of Computer Science in Sport
The utilization of metrics such as expected goals (xG) has the potential to provide teams with a competitive edge. By incorporating xG into their analysis and decision-making processes, teams can gain valuable insights. This study proposes a new approach to football xG modeling using Kos Angle which represents the shooting angle, from which we subs...
