Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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

Authors
Yu-Jia Sun, Ji-Yan Yu, Xiao-Ming Wang, Neil Nergmann
Corresponding Author
Yu-Jia Sun
Available Online December 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.133How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 652
EP  - 655
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.133
DO  - https://doi.org/10.2991/icwcsn-16.2017.133
ID  - Sun2016/12
ER  -