RGBthermal Imaging System Collaborated with Marker Tracking for Remote Breathing Rate Measurement The pixel variation signal extracted from the nasal region of RGBthermal images can be used to achieve breathing rate (BR) measurement. However, this method fails when the nasal region is not detected in complicated motion scenarios. In this paper, we develop an RGBthermal imaging system collaborated with marker sticker to achieve unobtrusive and accurate BR measurement. Pixel variation signal of Regions of interest (ROI) is extracted from the thermal video and chest movement signal is extracted from the RGB video with the assistance of marker stickers. Subsequently, a custommade timedomain signal processing approach is developed for determining BR. We further propose a method of splicing computation to measure the BR after separate processing of signal segments. We construct an RGBthermal video dataset with different head and body movements to evaluate the effectiveness of the proposed algorithm. After linear regression analysis, the determination coefficient (R2) of 0.905 has been observed for the estimated and reference BRs, indicating the feasibility of our proposed method in complex motion scenarios.

Contactless measurement of physiological parameters The possibility of remote measurement of vital parameters makes it possible to implement telemedicine systems. However these systems are of particular interest for subjects who, due to age or pathologies, are weak and fragile. For these subjects, the management of devices for measuring vital parameters that must be appropriately positioned in contact with the skin, in fixed positions, is difficult. For this reason, in this paper two technologies are shown for the noncontact measurement of two physiological parameters, heart rate and respiratory rate, based on the acquisition and processing of video signals and radar signals. The techniques presented are based on the use of commercial devices. The use of these technologies simplifies the acquisition of vital parameters compared to traditional technologies. The reliability of the measured values was evaluated by comparing the values obtained with a pulse oximeter and an app on a smartphone.