Artificial intelligence in sports, movement, and health / Carlo Dindorf, Eva Bartaguiz, Freya Gassmann, Michael Fröhlich, editors.
| Format | Electronic |
| Publication | Cham : Springer, [2024] |
| Copyright Date | ©2024 |
| Description | 1 online resource (x, 270 pages) : illustrations (some color) |
| Supplemental Content | EBSCOhost |
| Subjects |
| Other author/creator | Dindorf, Carlo, editor. |
| Other author/creator | Bartaguiz, Eva, editor. |
| Other author/creator | Gassmann, Freya, editor. https://id.oclc.org/worldcat/entity/E39PCjCjbBJvkMc6k3KfFtB9Dq |
| Other author/creator | Fröhlich, Michael, editor. |
| Contents | Part I. Digital transformations : artificial intelligences role in sports science. Situating sports science in the movement of digitization / Johannes Lenhard -- Artificial intelligence in sport scientific creation and writing process / Richard Latzel and Patrick Glauner -- Advancing endurance sports with Artificial intelligence : application-focused perspectives / Tessa Menges -- Part II. Artificial intelligence in medical and health aspects of sports. Sensors internet of things and artificial intelligence for the diagnosis and prevention of falls and fall-related injuries in older people : an exercise-related perspective / Wolfgang Kemmler -- Artificial intelligence for sport injury prediction / Robin Owen, Julian A. Owen and Seren L. Evans -- Generative artificial intelligence in anti-doping analysis in sports / Maxx Richard Rahman and Wolfgang Maass -- Part III. Human-computer interaction. A brief review of artificial intelligence for sport informatics in the scope of human-computer interactions/ Marco Speicher and Patrick Berndt -- Transferring lessons learned from uncertainty-aware visual analytics in clinical data to predicative sporting applications / Christian Gillmann -- Part IV. Motion capture and feedback systems. Machine learning in biomechanics : enhancing human movement analysis / Bernd J. Stetter and Thorsten Stein -- Artificial intelligence-based motion capture : current technologies, applications and challenges / Melanie Baldinger, Kevin Lippmann and Veit Senner -- Part V. Practical examples of machine learning and predictive analytics. Machine learning in tennis / Fernando Vives, Javier Lázaro, José Francisco Guxmán, Miguel Crespo and Rafael Martínez-Gallego -- Using convolutional neural network to predict sports / Arisosa S. Randrianasolo -- Learning to run marathons : on the applications of machine learning to recreational marathon running / Barry Smyth, Ciara Feely, Jakim Berndsen, Brian Caulfield and Aonghus Lawlor -- Data-driven methods for soccer analysis / Sylvio Barbon Junior, Felipe Arruda Moura and Ricardo da Silva Torres -- Artificial intelligence in talent identification and development in sport / Alexander B. T. McAuley, Joe Baker, Kathryn Johnston and Adam L. Kelly. |
| Abstract | This comprehensive work explores Artificial Intelligenceþs profound impact on revolutionizing how we approach sports, movement, and health. It presents a rich collection of insights, practical applications, and perspectives poised to transform these domains. Therefore, leading experts in the fields were brought together, offering diverse perspectives and applications across various disciplines. Through the examination of real-world use cases and future possibilities, this book empowers readers with knowledge, enhancing the understanding of the transformative potential of AI in sports, movement, and health. |
| Bibliography note | Includes bibliographical references |
| Source of description | Online resource; title from PDF title page (SpringerLink, viewed September 13, 2024). |
| Issued in other form | Print version: 3031672550 9783031672552 |
| ISBN | 9783031672569 (electronic bk.) |
| ISBN | 3031672569 (electronic bk.) |
| Standard identifier# | 10.1007/978-3-031-67256-9 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |