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

Chao Wang; Xinfeng Hu; Xiaodong Yang; Wuliang Chang; Guangze Cao

doi:10.1117/12.3032020

8 June 2024 Multi-target vital signs detection by fusing radar and optical images

Chao Wang, Xinfeng Hu, Xiaodong Yang, Wuliang Chang, Guangze Cao

Proceedings Volume 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024); 131710X (2024) https://doi.org/10.1117/12.3032020
Event: 3rd International Conference on Algorithms, Microchips and Network Applications (AMNA 2024), 2024, Jinan, China

Abstract

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%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chao Wang, Xinfeng Hu, Xiaodong Yang, Wuliang Chang, and Guangze Cao "Multi-target vital signs detection by fusing radar and optical images", Proc. SPIE 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024), 131710X (8 June 2024); https://doi.org/10.1117/12.3032020

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