Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

A Healthy Aging Real-Time Monitoring System Based on Data Mining

Authors
Songtao Shang, Minyong Shi, Wenqian Shang
Corresponding Author
Songtao Shang
Available Online April 2015.
DOI
10.2991/amcce-15.2015.9How to use a DOI?
Keywords
Data Mining; Naïve Bayes; K-Means; KNN; Population Aging
Abstract

Aging population is serious problems now in China. Many aging people have only one child, their children have many works to do every day. The only children have little time to care for their parents’ health and daily life. This paper introduces a real-time monitoring system which can collect the vital information through wearable devices and can analyze the data in real-time. The children can monitor their parents’ health in real-time by using mobile devices. Data mining technology plays a key role in the system. All the aging people’s health data can be analyzed by using data mining technology. This paper uses Naïve Bayes, K-Means, KNN algorithm and so on to analyse the aging people’s health data.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/amcce-15.2015.9
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.9How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Songtao Shang
AU  - Minyong Shi
AU  - Wenqian Shang
PY  - 2015/04
DA  - 2015/04
TI  - A Healthy Aging Real-Time Monitoring System Based on Data Mining
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 49
EP  - 54
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.9
DO  - 10.2991/amcce-15.2015.9
ID  - Shang2015/04
ER  -