Research Article
Design of Golfer’s Heart Rate Data Transmission System Based on Machine Learning
@INPROCEEDINGS{10.1007/978-3-030-94185-7_8, author={Bin-bin Liu}, title={Design of Golfer’s Heart Rate Data Transmission System Based on Machine Learning}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={Machine learning Golfer Heart rate data transmission}, doi={10.1007/978-3-030-94185-7_8} }- Bin-bin Liu
Year: 2022
Design of Golfer’s Heart Rate Data Transmission System Based on Machine Learning
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_8
Abstract
In order to better guarantee the training status and health of sports, a design method of heart rate data transmission system for golf players based on machine learning is proposed. The hardware structure of the system is configured based on the modern background. Based on nRF905 and AT89S52, a set of remote heart rate data transmission system is designed for golfers Finally, the experiment proves that the performance of the golfer heart rate data transmission system based on machine learning is better in the practical application process. The test results show that the designed system can effectively realize the expected function.
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