Syed Ahmad, S. Z. R. and Yusoff, Y. and Zain, A. M. and Samsudin, R. and Ghazali, N. E. (2019) Ai for heart rate measurements for sport performance: a review. In: International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019, 4-5 Feb 2019, Eastin Hotel Makkasan, Bangkok, Thailand.
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Official URL: http://www.dx.doi.org/10.1088/1757-899X/551/1/0120...
Abstract
Increasing sport performance in athletic has been a major task for coaches around the world. The ability to improve athletes' performance benefits not only the coaches but to the athletes themselves. Heart rate analysis for sport performance has been investigated for many years. Heart rate plays an important role to measure the athletes' ability to perform in sports of their choices. The heart rate information will not only aid in training the athletes according to personal abilities but it will also assist in monitoring athletes' health by reducing the chances of cardiovascular mortality risk. This paper briefly outlines the potential of Artificial Intelligence (AI) in learning information contain in human heart rate measurement for improving the athlete's sports performance.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | green computing, health risks, heart |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 91308 |
| Deposited By: | Narimah Nawil |
| Deposited On: | 30 Jun 2021 12:07 |
| Last Modified: | 30 Jun 2021 12:07 |
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