TY - GEN
T1 - Bio-inspired gas recognition based on the organization of the olfactory pathway
AU - Al Yamani, Jaber Hassan J.
AU - Boussaid, Farid
AU - Bermak, Amine
AU - Martinez, Dominique
PY - 2012
Y1 - 2012
N2 - Existing gas recognition techniques rely on complex signal processing techniques. This paper presents a simple bio-inspired gas recognition technique, exploiting fundamental characteristics of the organization of the olfactory pathway. The technique was validated using an-in house custom-fabricated tin gas sensor array together with three target gases: ethanol, methane, and carbon monoxide. Experimental results show that the proposed approach provides high accuracy, enabling the concept of a fully integrated electronic nose.
AB - Existing gas recognition techniques rely on complex signal processing techniques. This paper presents a simple bio-inspired gas recognition technique, exploiting fundamental characteristics of the organization of the olfactory pathway. The technique was validated using an-in house custom-fabricated tin gas sensor array together with three target gases: ethanol, methane, and carbon monoxide. Experimental results show that the proposed approach provides high accuracy, enabling the concept of a fully integrated electronic nose.
UR - https://www.scopus.com/pages/publications/84866627412
U2 - 10.1109/ISCAS.2012.6271503
DO - 10.1109/ISCAS.2012.6271503
M3 - Conference contribution
AN - SCOPUS:84866627412
T3 - ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
SP - 1391
EP - 1394
BT - ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
PB - IEEE Computer Society
T2 - 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
Y2 - 20 May 2012 through 23 May 2012
ER -