Search Results - Research Square
-
1
-
2
The interaction of relative age with maturation and body size in female handball talent selection
Tróznai, Z., Utczás, K., Pápai, J., Pálinkás, G., Szabó, T., Petridis, L.Published in PLOS ONE (2024)“…The relative age effects (RAEs) and biological maturation are two distinct factors that have been identified to affect talent identification and selection. Previous research has suggested that talent selection should include sport-specific technical tasks instead of body size and/or physical test measurements, assuming that the technical tasks are less influenced by variations in maturation. …”
-
3
How to compare relative age effect in different sports? A new methodological approach—example of youth olympic games
Cular, D., Babic, M., Katovic, D., Beslija, T., Kezic, A.Published in Sports (2024)“…This research aimed to propose a new methodological approach for analyzing relative age effect (RAE) in different sports or samples named "Relative age effect overall scale" (RAEOS). …”
-
4
Relative age effect of female and male handball players participating in Olympics Games Tokyo 2020
Krawczyk, P., Dyjas, A., Szelag, A., Cedro, M.Published in Baltic Journal of Health and Physical Activity (2023)“…In order to thoroughly investigate and describe the RAE, further research and the search for factors that differentiate it should be carried out.…”
-
5
-
6
Machine learning methods for performance forecast and assessment of female handball players
Narendra, M., Rayudu, K. M., Sivaratna Sai, T., Anitha, P., Lakshmi Parvathi, A.Published in Mathematical Statistician and Engineering Applications (2022)“…When it becomes Due to the use of conventional methods, the variety and difficulty of particular sorts of sporting events, and the usually time-variant interactions among them, sports are difficult to research and predict. Strong Machine Learning (ML) algorithms can analyse gamers' physical requirements with remarkable accuracy. …”
-
7
Improving the methodology of training load and injury risk research: an analysis of analyses
Bache-Mathiesen, L. K.Published 2023“…The validity of recommended methods is therefore unknown. To improve research on injury prevention programs, knowledge is needed on how to statistically determine the relationship of training load and injury risk. …”
-
8
-
9
Prediction and performance assessment in woman handball athletes by employing machine learning methods
Vivek, K., Harikiran, J., Suresh Babu, K., Anil Carie, C.Published in Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (2022)“…This is the initial and earliest attempt using ML in the field of sports, i.e., handball, and the findings are promising and appealing for subsequent researchers.…”
-
10
Exploring the knowledge, thoughts, and experiences of virtual reality training in elite football and baseball
Dowsett, R., Kinrade, N., Lawson, D., Whiteside, D., Barnett, C., Magistro, D., Wilkins, L.Published in Research Square (2022)“…Research Square…”
-
11
Handball goalkeepers' actions during throws from central and side areas of the court
Krawczyk, P., Pielas, M., Dziubek, L.Published in Journal of Physical Education and Sport (2021)“…The aim of this study was to analyze the actions of top-level handball goalkeepers during throws performed from the pivot positions and from backcourt positions from the first and second line, depending on the court area from which a throw was performed The research covered 11 goalkeepers who played in 96 matches in PGNiG Men`s Superligue (Poland) in the 2015/2016 sport season.The research material was a video recording of 469 goalkeeper saves during throws from pivot positions (285 from central area, 184 from side area), 490 from backcourt positions first line (146 from central area, 344 from side area), and 1279 from backcourt positions second line (782 from central area, 497 from side area).The video registered the throws from pivot positions, backcourt positions first line and the backcourt positions second line. …”
-
12
Chronological features of espiratory functions in highly qualified athletes
Feria, A.Published in Journal of Athletic Enhancement (2021)“…All procedures were approved by the Research ethics panel of the University of Belgrade School of drugs, within the city of Belgrade, Serbia, and were conducted in accordance with the planet Medical Association Declaration of Helsinki for medical research involving human subjects. …”
-
13
Standing handball throwing velocity estimation with a single wrist-mounted inertial sensor
Gencoglu, C., Gümüs, H.Published in Annals of Applied Sport Science (2021)“…The finding of the present study revealed that the wrist-attached accelerometer precisely estimates the throwing velocity in handball. Further research is required to quantifying the overarm activities in handball, which included block, defensive contact, passing, or shooting. …”
-
14
Attack tactics in elite beach handball teams
Hatzimanouil, D., Saavedra, J. M., Stavropoulos, N., Skandalis, V., Gkagkanas, K.Published in Kinesiologia Slovenica (2020)“…Beach handball is a highly popular sport, but research information and data about it is limited. …”
-
15
Correlation between morphological characteristics and situational motor abilities of young female handball players
Bojic, I., Kocic, M., Velickovic, M., Nikolic, D.Published in XX Scientific Conference.FIS COMMUNICATIONS 2017" in physical education, sport and recreation (Nis, Serbia, october 19-21st, 2017) (2017)“…A morphological motor profile of a player has a vital role in achieving success in modern handball. The aim of this research was to establish the correlation between morphological characteristics and specific motor abilitie of female handball players at the age of 13 to 14. …”
-
16
Performance during exclusions in female handball
Trejo, A., Camacho-Cardenosa, M., Camacho-Cardenosa, A., Brazo-Syavera, J.Published in World Congress of Performance Analysis of Sport XII (2018)“…Observational methodology was used. The research team reviewed the videos and collected the data using the software Lince 1.1. …”
-
17
-
18
-
19
-
20
The overarm-throwing pattern among U-14 ASA female softball players: A comparative study of gender, culture, and experience
Petranek, L. J., Barton, G. V.Published in Research Quarterly for Exercise and Sport (2011)“…Experience seems to have an impact when comparisons among girls are made; yet, explanations for differences seen between boys and girls still remain unclear and warrant further research. …”