Year: 2024
Type: conference-paper
Abstract: This paper focuses on studying literature on the applications of artificial intelligence (AI) in enhancing training and competition performance in sports i.e. volleyball, swimming and table tennis. AI technology offers machine learning (ML), deep learning (DL) and reinforcement learning (RL) based strategies to revolutionize the trainings and competitions by analysing the past data on various sports. AI-assisted models have been used to analyze data on posture, movements of players, swimming speed, stroke rate, heart rates, performance and competitions. A comparison of traditional training programs and AI-assisted strategies provides innovative ways to refine training and enhance performance of players in sports. Advancement in AI could bring further improvements in sports by simulating complex scenarios in future works.
Author: Shuai Zhu
Institution: Xinjiang University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4410236403