An Early Warning Model of Physical Exercise Training Based on Heart Rate and Time

DOI

10.2991/hss-26.2016.125How to use a DOI?

Keywords

Exercise heart rate, Early warning system, Fitness and health monitoring.

Abstract

In recent years, with a gradual decline of teenagers’ fitness and health monitoring data in our country, physical health of teenagers is becoming a more and more important problem. The traditional evaluation method can test teenagers’ health condition by spot checks every year. However it is difficult to analyze the changes of the teenagers' physical data. In the present paper, an early warning system of physical exercise based on exercise heart rate and time is proposed. The system classifies the intensity of movement by exercise heart rate and time, and then calculates the load and the score according to the evaluation standards we put. To verify the maneuverability of the evaluation theory model, real-time monitoring of heart rate during physical education class in a high school is conducted. Results show that based on exercise heart rate and time, the score of teenagers’ exercise condition can be obtained, which can reflect the daily exercise of each person intuitively.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun Su
AU  - Song Zhang
AU  - Lin Yang
AU  - Xiaohe Li
PY  - 2016/01
DA  - 2016/01
TI  - An Early Warning Model of Physical Exercise Training Based on Heart Rate and Time
BT  - Proceedings of the 2016 International Conference on Humanities and Social Science
PB  - Atlantis Press
SP  - 755
EP  - 758
SN  - 2352-5398
UR  - https://doi.org/10.2991/hss-26.2016.125
DO  - 10.2991/hss-26.2016.125
ID  - Su2016/01
ER  -