Detecting trapped humans through chest wall movements with non-contact Doppler sensor

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

This paper aims to examine a noncontact pulmonary detection method in a laboratory setting, based on the use of frequencies similar to the current smartphone-liked devices. The paper utilises existing Wi-Fi 2.4 GHz spectrum wavelength, and a Doppler effect radar that detects and measures movements of the human chest during in- and exhalation under conditions that simulate entrapment caused by natural or man-made disasters. Based on the simulated scenarios, 100% accuracy was achieved for detecting a human subject when compared to traditional contact or invasive respiration measurements. This approach could be used as an alternative to the commercially designed devices currently used in rescue relief events.
Original languageEnglish
Title of host publication2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
Place of PublicationMalaysia
PublisherIEEE Xplore
Pages346-351
Number of pages6
ISBN (Electronic)9781538685464
Publication statusPublished - 2019
Event2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics: ISCAIE 2019 - Le Meridien Hotel, Kota Kinabalu, Malaysia
Duration: 27 Apr 201928 Apr 2019
https://sites.google.com/site/iscaie2019/home
https://ieeexplore.ieee.org/xpl/conhome/8740332/proceeding
https://sites.google.com/site/iscaie2019/announcements

Conference

Conference2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics
CountryMalaysia
CityKota Kinabalu
Period27/04/1928/04/19
Internet address

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