Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle
Paper
Paper/Presentation Title | Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle |
---|---|
Presentation Type | Paper |
Authors | Al-Naji, Ali, Perera, Asanka G. and Chahl, Javaan |
Journal or Proceedings Title | IOP Conference Series: Materials Science and Engineering |
Journal Citation | 405 |
Article Number | 012001 |
Number of Pages | 10 |
Year | 2018 |
Publisher | IOP Publishing |
Place of Publication | United Kingdom |
ISSN | 1757-8981 |
1757-899X | |
Digital Object Identifier (DOI) | https://doi.org/10.1088/1757-899X/405/1/012001 |
Web Address (URL) of Paper | https://iopscience.iop.org/article/10.1088/1757-899X/405/1/012001/meta |
Web Address (URL) of Conference Proceedings | https://iopscience.iop.org/issue/1757-899X/405/1 |
Conference/Event | AEROTECH 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. |
Keywords | aerial vehicle |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 4007. Control engineering, mechatronics and robotics |
Byline Affiliations | University of South Australia |
Middle East Technical University, Turkey | |
Defence Science and Technology Group, Australia |
https://research.usq.edu.au/item/z77y6/remote-measurement-of-cardiopulmonary-signal-using-an-unmanned-aerial-vehicle
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Al-Naji_2018_IOP_Conf._Ser.__Mater._Sci._Eng._405_012001.pdf | ||
License: CC BY 3.0 | ||
File access level: Anyone |
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