Applications of AI in martial arts: A survey
Y Pang, Y Wang, Q Wang, F Li… - Proceedings of the …, 2024 - journals.sagepub.com
Artificial intelligence (AI) has become an interdisciplinary subject that integrates digital
image processing, machine learning, and computer science, etc. A lot of work in martial arts …
image processing, machine learning, and computer science, etc. A lot of work in martial arts …
Performance and healthcare analysis in elite sports teams using artificial intelligence: a sco** review
Introduction In competitive sports, teams are increasingly relying on advanced systems for
improved performance and results. This study reviews the literature on the role of artificial …
improved performance and results. This study reviews the literature on the role of artificial …
[HTML][HTML] A computer vision approach to continuously monitor fatigue during resistance training
Monitoring fatigue during resistance training is essential to avoid injuries caused by
overtraining. Fatigue can be comprehensively quantified by the external and internal load …
overtraining. Fatigue can be comprehensively quantified by the external and internal load …
Reveal fluidity behind frames: A multi-modality framework for action quality assessment
Assessing the quality of a player's performance, such as in diving events, requires precise
measurement of subtle action details and overall fluidity. Existing methods primarily utilize …
measurement of subtle action details and overall fluidity. Existing methods primarily utilize …
Using a Spatial Grid Model to Interpret Players Movement in Field Sports
The global sports analytics industry has a market value of USD 3.78 billion in 2023. The
increase of wearables such as GPS sensors has provided analysts with large fine-grained …
increase of wearables such as GPS sensors has provided analysts with large fine-grained …
Wearable Devices and Digital Biomarkers for Optimizing Training Tolerances and Athlete Performance: A Case Study of a National Collegiate Athletic Association …
Wearable devices in sports have been used at the professional and higher collegiate levels,
but not much research has been conducted at lower collegiate division levels. The objective …
but not much research has been conducted at lower collegiate division levels. The objective …
Comparison of Individualized and Group-based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players
Monitoring fatigue in sport is critical to achieve elite performance and may benefit from
machine learning techniques that are liable to predict changes in fatigue state. In this paper …
machine learning techniques that are liable to predict changes in fatigue state. In this paper …
Using a Spatial Grid Model to Interpret Players Movement in Field Sports
M Roantree - Big Data Analytics and Knowledge Discovery: 26th …, 2024 - Springer
The global sports analytics industry has a market value of USD 3.78 billion in 2023. The
increase of wearables such as GPS sensors has provided analysts with large fine-grained …
increase of wearables such as GPS sensors has provided analysts with large fine-grained …
Improving the Expected Goal Value in Football Using Multilayer Perceptron Networks
The development of big data and machine learning is having a special boost in the field of
innovation in sports. Football is the most popular sport in Europe with millions of players and …
innovation in sports. Football is the most popular sport in Europe with millions of players and …
A Framework for Spatio-Temporal Graph Analytics In Field Sports
The global sports analytics industry has a market value of USD 3.78 billion in 2023. The
increase of wearables such as GPS sensors has provided analysts with large fine-grained …
increase of wearables such as GPS sensors has provided analysts with large fine-grained …