Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle

Paper

Al-Naji, Ali, Perera, Asanka G. and Chahl, Javaan. 2018. "Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle ." AEROTECH VII - Sustainability in Aerospace Engineering and Technology. Putrajaya, Malaysia 07 - 08 Aug 2018 United Kingdom. IOP Publishing. https://doi.org/10.1088/1757-899X/405/1/012001
Paper/Presentation Title

Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle

Presentation TypePaper
AuthorsAl-Naji, Ali, Perera, Asanka G. and Chahl, Javaan
Journal or Proceedings TitleIOP Conference Series: Materials Science and Engineering
Journal Citation405
Article Number012001
Number of Pages10
Year2018
PublisherIOP Publishing
Place of PublicationUnited Kingdom
ISSN1757-8981
1757-899X
Digital Object Identifier (DOI)https://doi.org/10.1088/1757-899X/405/1/012001
Web Address (URL) of Paperhttps://iopscience.iop.org/article/10.1088/1757-899X/405/1/012001/meta
Web Address (URL) of Conference Proceedingshttps://iopscience.iop.org/issue/1757-899X/405/1
Conference/EventAEROTECH VII - Sustainability in Aerospace Engineering and Technology
Event Details
AEROTECH VII - Sustainability in Aerospace Engineering and Technology
Delivery
In person
Event Date
07 to end of 08 Aug 2018
Event Location
Putrajaya, Malaysia
Abstract

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.

Keywordsaerial vehicle
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204007. Control engineering, mechatronics and robotics
Byline AffiliationsUniversity of South Australia
Middle East Technical University, Turkey
Defence Science and Technology Group, Australia
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