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Publicação
The Use of AI in Sports to Prevent Injuries
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 2.16 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
In the fast-evolving context of sports, where performing at the highest level is key, the impact
of athlete injuries has become major, affecting not only the athletes themselves but also
everyone involved in the sports ecosystem. These injuries pose significant challenges to
athlete safety and performance, leading to costly consequences for clubs and organizations,
thereby highlighting the urgent need for effective prevention strategies. This research
addresses the critical need for innovative solutions by developing a comprehensive framework
that integrates Artificial Intelligence (AI) and Internet of Things (IoT) technologies to enhance
injury prevention across various sports. The framework guides data scientists through four key
steps: Context Identification, Anatomical Location, Data Requirements, and Final Solution,
ensuring that predictive models are tailored to the unique characteristics of each sport. By
leveraging player-specific data and real-time metrics collected through IoT devices, the
framework aims to improve predictive accuracy and facilitate timely interventions.
Furthermore, it has been validated by specialists, confirming its usefulness in real-world
scenarios. This study highlights the transformative potential of AI and IoT technologies in
revolutionizing injury prevention strategies, ultimately promoting athlete safety and
optimizing performance.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Business Intelligence
Palavras-chave
Sports Health Injury Prevention Artificial Intelligence Internet of Things SDG 3 - Good health and well-being