The Non-Contact Respiratory Monitoring System Using Thermal Image Processing

Abstract

The physiological information of respiration behavior indicates both of lungs and chest operating status. General speaking, the traditional measurement is usually to apply the wearable or contact instrument which cause subject to be inconvenient and uncomfortable. This paper adopted the noncontact respiration monitoring system combining image processing and data analysis. We implement the infrared thermal camera to obtain the gray scale to oand split it into two parts, namely: face and nose. Firstly, the face is extracted from the image and nose is located from it. Secondly, we captured respiratory signal from the nose part of the image. Finally, the respiratory signal is divided into the (inhale) and (exhale) behavioristics. The data from inhale and exhale behavioristic were recorded and the analisyst was done to the respiratory behavior.