Detecting trapped humans through chest wall movements with Non-contact Doppler sensor

This paper aims to examine a noncontact pulmonary detection method in a laboratory setting, based on the use of frequencies similar to the current smartphone-liked devices. The paper utilises existing Wi-Fi 2.4 GHz spectrum wavelength, and a Doppler effect radar that detects and measures movements of the human chest during in- and exhalation under conditions that simulate entrapment caused by natural or man-made disasters. Based on the simulated scenarios, 100% accuracy was achieved for detecting a human subject when compared to traditional contact or invasive respiration measurements. This approach could be used as an alternative to the commercially designed devices currently used in rescue relief events.