Search Results - Advances in Computer Science Research
-
1
Artificial intelligence in health and sport sciences: Promise, progress, and prudence
An, R.Published in Journal of Sport and Health Science (2025)“…Artificial intelligence (AI) has rapidly transformed from a promising computational tool to a central force in global healthcare, exercise science, and human performance research.1 While once conceptual, its applications today are increasingly tangible—powering diagnostic tools, enhancing training personalization, guiding rehabilitation strategies, and informing ethical governance in sport.2 The integration of AI in health and sports science mirrors a broader digital health revolution, and this special topic offers a compelling snapshot of how AI is reshaping the landscape of patient care, athlete monitoring, and scientific inquiry. …”
-
2
-
3
-
4
Exceeding limits in sports engineering: The bio-digital-material triad paradigm in the Asian sports performance revolution
Shen, Y., Liu, J., Li, J., Jing, H., Li, L.Published in Journal of Human Sport & Exercise (2025)“…By analysing empirical data across multiple dimensions, the article examines how these technologies converge and drive the evolution of sports science, creating a comprehensive logical chain from fundamental research to commercial application, thus providing new pathways for enhancing athlete performance. …”
-
5
A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directionsA narrative review of deep learning application...
Jia, Y., Abdullah, N. A., Eliza, H., Lu, Q., Si, D., Guo, H., Wang, W.Published in BMC Sports Science, Medicine and Rehabilitation (2025)“…Methods We conducted a systematic literature search of Web of Science Core Collection (WOS), China National Knowledge Infrastructure (CNKI), and Association for Computing Machinery Digital Library (ACM DL) for relevant studies published from 2015 to 2024, with no language restrictions. …”
-
6
-
7
-
8
-
9
-
10
-
11
AthletePose3D: a benchmark dataset for 3D human pose estimation and kinematic validation in athletic movements
Yeung, C., Suzuki, T., Tanaka, R., Yin, Z., Fujii, K.Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)“…Human pose estimation is a critical task in computer vision and sports biomechanics, with applications spanning sports science, rehabilitation, and biomechanical research. …”
-
12
-
13
-
14
-
15
-
16
Diving into data driven match analysis in football with floodlight and open data
Bassek, M., Memmert, D., Rein, R. “…Additionally, we emphasize the idea of open science. Here, floodlight can serve as a platform for reproducible and open research projects in the future. …”
-
17
-
18
-
19
-
20
A comprehensive overview of artificial intelligence applications in basketball
Agbozo, E., Pandya, K., Jovanovic, P., Suvorova, E. A.Published in Journal of Physical Education and Sport (2024)“…Our results revealed that the area of sports analytics is gaining momentum and AI in the basketball world has more adoption in China, USA, Australia, Canada, Italy and Spain from a research perspective. Our study offers contributions to theory and practice in the sports science and applied AI domains.…”