A perspective on rhythmic gymnastics performance analysis powered by intelligent fabric

D Zhu, Z Zhang, M Chen, P Li, Y **ang, J Ouyang… - Advanced Fiber …, 2023 - Springer
Performance analysis is an important tool for gymnasts and coaches to assess the
techniques, strengths, and weaknesses of rhythmic gymnasts during training. To have an …

[HTML][HTML] Artificial intelligence in sports on the example of weight training

H Novatchkov, A Baca - Journal of sports science & medicine, 2013 - ncbi.nlm.nih.gov
The overall goal of the present study was to illustrate the potential of artificial intelligence (AI)
techniques in sports on the example of weight training. The research focused in particular on …

Computational efficiency in sports talent identification-a systematic review

NJ Khan, G Ahamad, M Naseem… - International Journal of …, 2023 - inderscienceonline.com
The selection of talent for sports has always been of great concern. The research interest in
the domain of computational decision-making for sports talent identification is on an …

Exploring the multidisciplinary factors affecting sports talent identification

C **ang, TF Tengku Kamalden, H Liu… - Frontiers in …, 2022 - frontiersin.org
Talent is one of the most significant factors to promote the development of sports
undertakings. The present study aimed to explore the factors affecting the identification of …

iSports: A web-oriented expert system for talent identification in soccer

F Louzada, AC Maiorano, A Ara - Expert Systems with Applications, 2016 - Elsevier
Nowadays soccer is the most practiced sport in the world and moves a multimillionaire
market. Therefore, a club that is able to recruit and develop talented players to theirs fullest …

Modeling basketball play-by-play data

P Vračar, E Štrumbelj, I Kononenko - Expert Systems with Applications, 2016 - Elsevier
We present a methodology for generating a plausible simulation of a basketball match
between two distinct teams as a sequence of team-level play-by-play in-game events. The …

Big data, artificial intelligence, and quantum computing in sports

B Torgler - 21st century sports: How technologies will change …, 2023 - Springer
This chapter examines the exciting possibilities promised for the sports environment by new
technologies such as big data, AI, and quantum computing, discussed in turn. Together and …

Using artificial intelligence for pattern recognition in a sports context

AC Nunes Rodrigues, A Santos Pereira… - Sensors, 2020 - mdpi.com
Optimizing athlete's performance is one of the most important and challenging aspects of
coaching. Physiological and positional data, often acquired using wearable devices, have …

Talent identification in youth soccer: prognosis of U17 soccer performance on the basis of general athleticism and talent promotion interventions in second-grade …

A Hohmann, M Siener - Frontiers in Sports and Active Living, 2021 - frontiersin.org
Several talent identification programs in elementary school have implemented motor
diagnostics to introduce children to groups of sports, like game sports, or even to particular …

Development of a fuzzy decision support framework for complex multi‐attribute decision problems: A case study for the selection of skilful basketball players

S Ballı, S Korukoğlu - Expert Systems, 2014 - Wiley Online Library
The selection of skilful players is a complicated process due to the problem criteria
consisting of both qualitative and quantitative attributes as well as vague linguistic terms …