From 7320ec4c534117981f1011e30f39679c02280153 Mon Sep 17 00:00:00 2001 From: Hobe Date: Mon, 8 Jun 2020 04:06:28 +0000 Subject: [PATCH] Update intro. git-svn-id: http://newslabx.csie.ntu.edu.tw/svn/Ginger@73 5747cdd2-2146-426f-b2b0-0570f90b98ed --- trunk/RTCSA_SS/01Introduction.tex | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/trunk/RTCSA_SS/01Introduction.tex b/trunk/RTCSA_SS/01Introduction.tex index ab2124c..1e96b9e 100644 --- a/trunk/RTCSA_SS/01Introduction.tex +++ b/trunk/RTCSA_SS/01Introduction.tex @@ -1,7 +1,7 @@ \section{Introduction} \label{sec:introduction} -The turn over frequency while sleeping is an important index to quantify the +The turning 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 @@ -10,15 +10,17 @@ like the RGB camera. {\bf Contribution} -In this work, we deployed multiple low resolution thermal camera to monitor the -turn over frequency while sleeping. With multiple thermal camera, -Super-resolution techniques, and our method, we can have 50\% recall rate and 83\% precision -on turning over detection. +In this work, we deployed multiple low resolution thermal cameras to monitor the +turning over frequency while sleeping. We propose a data fusing and enhancement method +to fuse multiple Grideye +thermal sensors into a low-resolution thermal image, and use Super-resolution techniques +to enhance the resolution. With our pose detection method, we have 65\% accuracy of pose +detection, and 50\% recall rate and 83\% precision of turning over detection. -The remaining of this paper is organized as follows. Section~\ref{sec:bk_related} -presents 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. +%The remaining of this paper is organized as follows. Section~\ref{sec:bk_related} +%presents 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.