<html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">\begin{abstract}

A low resolution infrared camera can use to collect the data of our daily
activity, and protect privacy. However, pose detection on an extremely low
resolution image will be a big challenge to deal with.
Many researches show that Super-resolution may improve the accuracy of
object detection on low resolution images.
%% long-term care?
In this work, we detect the turning over while sleeping with low-resolution
thermal sensors. To improve the accuracy of detection, we fuse the data from multiple
sensors and use SRCNN to enhance the resolution. We also propose a method to reduce the
noise caused by the residual body temperature on bed after turn over while detect the
pose and turning over. The accuracy of pose detection is 65\%, and the
turning over detection has 50\% recall rate and 83\% precision.

\end{abstract}
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