\section{Introduction}
\label{sec:introduction}

The turn over frequency while sleeping is an important index to quantify the
health of elderly. Many wearable devices can also achieve the same purpose, but
many study show that the elderly feel uncomfortable with wearing such devices
all days.\textcolor{red}{(source?)}. By the low resolution thermal camera, we
can obtain the daily activities informations, but not reveal too much privacy
like the RGB camera.

{\bf Contribution} Contribution

In this work, we deployed multiple low resolution thermal camera to monitor the
turn over frequency while sleeping. With multiple thermal camera and
Super-resolution techniques we can improve the accuracy of turn over detection
by XX\%.


The remaining of this paper is organized as follow. Section~\ref{sec:bk_related} presents related works and background for developing the methods. Section~\ref{sec:design} presents the system architecture, challenges, and the developed mechanisms.  Section~\ref{sec:eval} presents the evaluation results of proposed mechanism and Section~\ref{sec:conclusion} summaries our works.

 