Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle

AEROTECH VII - Sustainability in Aerospace Engineering and Technology

航空航天工程

Al-Naji, Ali^1,2 ; Perera, Asanka G.^1 ; Chahl, Javaan^1,3

School of Engineering, University of South Australia, Mawson Lakes, Australia^1

Electrical Engineering Technical College, Middle Technical University, Iraq^2

Joint and Operations Analysis Division, Defence Science and Technology Group, Melbourne, Australia^3

关键词: Dynamic scenarios;    Image sequence analysis;    Natural disasters;    Physiological parameters;    Reference instruments;    Remote measurement;    Strong correlation;    Vision based system;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/405/1/012001/pdf
DOI  :  10.1088/1757-899X/405/1/012001

学科分类：航空航天科学

来源: IOP

【 摘 要 】

This study proposes a computer vision-based system to reveal the cardiopulmonary signal of humans in both static and dynamic scenarios without the need for restricting or contact. The proposed system extracts the signal based on the optical properties of skin colour variations in the facial region using image sequence analysis captured by a hovering drone while being convenient, safe and also cost-effective. The experimental results showed very good agreement, strong correlation coefficients and acceptable error ratios in comparison to reference instruments (finger pulse oximeter and Piezo respiratory belt). Therefore, the proposed system in this paper may be suitable to be applied to detect human physiological parameters in war zones and natural disasters when the contact with the subject is difficult or impossible.