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21 lines
1.1 KiB
21 lines
1.1 KiB
\section{Introduction}
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\label{sec:introduction}
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The turn over frequency while sleeping is an important index to quantify the
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health of elderly. Many wearable devices can also achieve the same purpose, but
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many study show that the elderly feel uncomfortable with wearing such devices
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all days.\textcolor{red}{(source?)}. By the low resolution thermal camera, we
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can obtain the daily activities informations, but not reveal too much privacy
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like the RGB camera.
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{\bf Contribution} Contribution
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In this work, we deployed multiple low resolution thermal camera to monitor the
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turn over frequency while sleeping. With multiple thermal camera and
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Super-resolution techniques we can improve the accuracy of turn over detection
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by XX\%.
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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.
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