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  1. \section{Introduction}
  2. \label{sec:introduction}
  3. The turn over frequency while sleeping is an important index to quantify the
  4. health of elderly. Many wearable devices can also achieve the same purpose, but
  5. many study show that the elderly feel uncomfortable with wearing such devices
  6. all days.\textcolor{red}{(source?)}. By the low resolution thermal camera, we
  7. can obtain the daily activities informations, but not reveal too much privacy
  8. like the RGB camera.
  9. {\bf Contribution} Contribution
  10. In this work, we deployed multiple low resolution thermal camera to monitor the
  11. turn over frequency while sleeping. With multiple thermal camera and
  12. Super-resolution techniques we can improve the accuracy of turn over detection
  13. by XX\%.
  14. 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.