A Low Cost Posture Monitoring System Based on an Ambient Light Sensor Network

DOI

10.2991/icwcsn-16.2017.133How to use a DOI?

Keywords

sensor networks; sitting condition; monitoring

Abstract

This paper applies wireless sensor networks to monitoring sitting condition (presence and posture). Specifically, we develop a sitting condition monitoring system based on an ambient light sensor network. As the system is hard to be modeled, a feature learning experiment has been conducted to learn about the features to design a classifier. We conducted an evaluation experiment in five different environments. Our experiment results show that our system has an accuracy around 82%, and it is robust to five different environmental noise.

Copyright

© 2017, 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  - Yu-Jia Sun
AU  - Ji-Yan Yu
AU  - Xiao-Ming Wang
AU  - Neil Nergmann
PY  - 2016/12
DA  - 2016/12
TI  - A Low Cost Posture Monitoring System Based on an Ambient Light Sensor Network
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 652
EP  - 655
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.133
DO  - 10.2991/icwcsn-16.2017.133
ID  - Sun2016/12
ER  -