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 …
sports sector. This study employed a mixed methods approach to investigate technology …
Intelligent knee sleeves: a real-time multimodal dataset for 3D lower body motion estimation using smart textile
The kinematics of human movements and locomotion are closely linked to the activation and
contractions of muscles. To investigate this, we present a multimodal dataset with …
contractions of muscles. To investigate this, we present a multimodal dataset with …
AI 머신러닝알고리즘을적용한한국여자프로골프(KLPGA) 선수의상위10 위이내진입여부예측: 스포츠애널리틱스관점
김필수， 이상현 - 한국스포츠산업경영학회지, 2023 - dbpia.co.kr
스포츠 전반에서 인공지능을 활용한 스포츠 애널리틱스의 중요성이 높아지고 있으며, 경기결과
예측에 관한 관심 역시 고조되고 있다. 골프 종목에서도 다양한 연구의 노력과 축적이 …
예측에 관한 관심 역시 고조되고 있다. 골프 종목에서도 다양한 연구의 노력과 축적이 …
Multimodal AI-Based Summarization and Storytelling for Soccer on Social Media
The rapid advancement of technology has been revolutionizing the field of sports media,
where there is a growing need for sophisticated data processing methods. Current …
where there is a growing need for sophisticated data processing methods. Current …
Developing a supervised learning model for anticipating potential technology convergence between technology topics
W Seo, M Afifuddin - Technological Forecasting and Social Change, 2024 - Elsevier
Recognized as essential for firms, a systematic methodology for identifying potential
technology convergence opportunities has been the focus of many studies attempting to …
technology convergence opportunities has been the focus of many studies attempting to …
Hybrid LSTM and GAN model for action recognition and prediction of lawn tennis sport activities
X Sun, Y Wang, J Khan - Soft Computing, 2023 - Springer
Tennis has gained global popularity, prompting a surge in interest towards 3D video-based
tennis motion recognition. Early action recognition, which predates activity completion, is a …
tennis motion recognition. Early action recognition, which predates activity completion, is a …
[PDF][PDF] 영국프리미어리그경기데이터기반머신러닝을활용한경기결과예측및분류모형의예측성능비교
김필수 - 한국체육학회지제, 2023 - researchgate.net
요약스포츠와 관련한 빅데이터 축적 및 수집 기술, AI 알고리즘의 발전, 컴퓨터 과학이
발전하면서 최근 경기결과 예측과 관련한 연구가 증가하고 있다. 하지만, 세계에서 가장 큰 …
발전하면서 최근 경기결과 예측과 관련한 연구가 증가하고 있다. 하지만, 세계에서 가장 큰 …
[HTML][HTML] Application of Artificial Intelligence in Rehabilitation Science: A Scientometric Investigation Utilizing Citespace
R Yang, Q Yuan, W Zhang, H Cai, Y Wu - SLAS technology, 2024 - Elsevier
This study presents a scientometric analysis of the intersection between rehabilitation
science and artificial intelligence (AI) technologies, using data from the Web of Science …
science and artificial intelligence (AI) technologies, using data from the Web of Science …
Sign Language Recognition (SLR): A Brisk Paired Deep Metric Attention Learning (BPDMAL) Model for Video Data Applications
PVV Kishore, D Anil Kumar, K Srinivasa Rao - SN Computer Science, 2024 - Springer
Existing sign language recognition (SLR) models have shown to lack precision in identifying
a sign due to their inability to rationalize inter-class discriminations. Specifically, the trained …
a sign due to their inability to rationalize inter-class discriminations. Specifically, the trained …
Advancing NCAA March Madness Forecasts Through Deep Learning and Combinatorial Fusion Analysis
This paper presents a novel methodology for accurately predicting game outcomes in the
NCAA Men's Basketball Tournament, known as March Madness. The high variance inherent …
NCAA Men's Basketball Tournament, known as March Madness. The high variance inherent …