A Low Cost Posture Monitoring System Based on an Ambient Light Sensor Network
Yu-Jia Sun, Ji-Yan Yu, Xiao-Ming Wang, Neil Nergmann
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.133How to use a DOI?
- sensor networks; sitting condition; monitoring
- 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.
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 -