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24 lines
1.1 KiB
24 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}
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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,
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Super-resolution techniques, and our method, we can have 50\% recall rate and 83\% precision
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on turning over detection.
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The remaining of this paper is organized as follow. Section~\ref{sec:bk_related}
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presents background for developing the methods. Section~\ref{sec:design} presents
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the system architecture, and the developed mechanisms. Section~\ref{sec:eval}
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presents the evaluation results of proposed mechanism and Section~\ref{sec:conclusion} summaries our works.
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