Signal Processing Techniques for Human Vital Signs Sensing by Short Range Radar

Ambient Assistant Living(AAL) applications gain importance considering the aging population in the world. The aim of this study is the analysis of signal localization techniques that extract frequency rates of human breathing in AAL applications. Ultra-wideband radar system has been used to detect respiratory rate due to its high resolution and non-ionizing energy. Experimental scenarios are performed in three cases, and the human body is expected as speaking and hand-waving during scenes. In this way, the realistic situations are have been mimicked. The spectrum analysis of the measured signals is performed by Fast Fourier Transform (FFT) and Hilbert Huang Transform (HHT). The comparison of these techniques is given. Considering non-linearity and non-stationarity of HHT, it is more effective and provides regional analysis.