DocumentCode :
2943255
Title :
MEMS resonant human breath sensors for survivor detection in disaster areas
Author :
Hajjam, A. ; Guo, Youguang ; Dietrich, K. ; Pourkamali, Siavash
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA
fYear :
2012
fDate :
28-31 Oct. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This work demonstrates the potential of micromechanical resonators as compact human breath detectors. Such sensors can be mounted on robotic platforms used in search and rescue missions for detection of survivors in disaster areas. Human breath carries higher concentrations of both moisture and carbon dioxide (CO2) compared to surrounding air. To implement the sensors, single crystalline silicon resonators with frequencies in the MHz range were coated by thin films of polyethyleneimine (PEI), which is a strong absorbent of both moisture and CO2. The detection mechanism is based on the frequency shift caused by the added mass from the absorbed molecules. The resonators were tested in a humidity controlled chamber showing sensitivity towards humidity as high as 79 ppm/%RH from 30 to 58 %RH and 1.2 286 ppm/%RH from 58 to 85 %RH at room temperature. The response of the same coated resonators to CO2 was also characterized showing an overall frequency shift of 3010 ppm. Finally, the resonators were exposed to human breath samples and showed frequency shifts as high as 1020ppm with response time constants around 10 seconds.
Keywords :
micromechanical resonators; microsensors; MEMS resonant human breath sensors; disaster areas; frequency shift; micromechanical resonators; robotic platforms; single crystalline silicon resonators; survivor detection; Frequency measurement; Humans; Humidity; Optical resonators; Resonant frequency; Sensors; Temperature measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
ISSN :
1930-0395
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2012.6411042
Filename :
6411042
Link To Document :
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