A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review

JG Claudino, DO Capanema, TV de Souza… - Sports medicine …, 2019 - Springer
Background The application of artificial intelligence (AI) opens an interesting perspective for
predicting injury risk and performance in team sports. A better understanding of the …

A public data set of spatio-temporal match events in soccer competitions

L Pappalardo, P Cintia, A Rossi, E Massucco… - Scientific data, 2019 - nature.com
Soccer analytics is attracting increasing interest in academia and industry, thanks to the
availability of sensing technologies that provide high-fidelity data streams for every match …

Machine learning methods in sport injury prediction and prevention: a systematic review

H Van Eetvelde, LD Mendonça, C Ley, R Seil… - Journal of experimental …, 2021 - Springer
Purpose Injuries are common in sports and can have significant physical, psychological and
financial consequences. Machine learning (ML) methods could be used to improve injury …

Debunking the myths about training load, injury and performance: empirical evidence, hot topics and recommendations for practitioners

TJ Gabbett - British journal of sports medicine, 2020 - bjsm.bmj.com
A substantial amount of research has tested the relationship between training load and
injury. 1 Given that sports injuries compromise team success, 2 3 team administrators …

A systematic literature review of intelligent data analysis methods for smart sport training

A Rajšp, I Fister Jr - Applied Sciences, 2020 - mdpi.com
The rapid transformation of our communities and our way of life due to modern technologies
has impacted sports as well. Artificial intelligence, computational intelligence, data mining …

Digital technologies in sports: Opportunities, challenges, and strategies for safeguarding athlete wellbeing and competitive integrity in the digital era

Y Qi, SM Sajadi, S Baghaei, R Rezaei, W Li - Technology in Society, 2024 - Elsevier
Digital technologies are revolutionizing operations across various industries, including the
sports sector. This study employed a mixed methods approach to investigate technology …

A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems

E Pons, T García-Calvo, R Resta, H Blanco… - PloS one, 2019 - journals.plos.org
The aim of this study was to compare the agreement of the movement demands data during
a soccer match (total distance, distance per minute, average speed, maximum speed and …

[HTML][HTML] Estimation of injury costs: financial damage of English Premier League teams' underachievement due to injuries

E Eliakim, E Morgulev, R Lidor… - BMJ Open Sport & …, 2020 - bmjopensem.bmj.com
Background In individual sports, the effect that injuries have on an athlete's performance,
success and financial profit is implicit. In contrast, the effect of a single player's injury or one …

PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach

L Pappalardo, P Cintia, P Ferragina… - ACM Transactions on …, 2019 - dl.acm.org
The problem of evaluating the performance of soccer players is attracting the interest of
many companies and the scientific community, thanks to the availability of massive data …