Multi-target vital signs detection by fusing radar and optical images

Microwave radar has wide applications in the field of vital sign detection, but there are still some challenges in detecting multiple people in complex environments. For this problem, in this article, a multi-target vital signs detection system based on the fusion of radar and optical image is proposed. This system employs a fusion algorithm to enhance the speed and precision of detection. By comparing the measured data with the reference signal, it can be considered that the measured data has a certain accuracy. The average absolute error in heart rate (HR) detection was 4 beats per minute (BPM), while respiratory rate (RR) detection exhibited an error of 0.75 respirations per minute (RPM). The accuracy of heart rate detection stood at 91.61%, while respiratory rate detection accuracy attained 99.01%.