|
\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, and the developed mechanisms. Section~\ref{sec:eval} presents the evaluation results of proposed mechanism and Section~\ref{sec:conclusion} summaries our works.
|
|
|
|
|