Research of Zigbee and Big Data Analysis Based Pulse Monitoring System for Efficient Physical Training
Author(s) -
HongLiang Yuan,
Jun Wang,
Jun Liu,
Shiliang Li
Publication year - 2016
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2016.05.442
Subject(s) - computer science , pulse (music) , training (meteorology) , big data , training system , real time computing , embedded system , data mining , telecommunications , detector , physics , meteorology , economics , economic growth
For the problems that we can’t monitor continuous heart information so as to make efficient training plans. A ZigBee and big data analysis based pulse monitoring system has been proposed. The system is composed of multiple ZigBee based pulse monitoring sensors, customized gateways and back-end system. Individuals’ pulse information are collected by the sensors and passed to back-end system to support big data analysis of the training conditions. Results shows the system can be used to improve the physical training level; accumulate the training data of the individuals and support more efficient and scientific training plans
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