Bio-inspired gas recognition based on the organization of the olfactory pathway

Jaber Hassan J. Al Yamani; Farid Boussaid; Amine Bermak; Dominique Martinez

doi:10.1109/ISCAS.2012.6271503

Bio-inspired gas recognition based on the organization of the olfactory pathway

Jaber Hassan J. Al Yamani^*
, Farid Boussaid
, Amine Bermak
, Dominique Martinez

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

9 Citations (Scopus)

Abstract

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.

Original language	English
Pages	1391-1394
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2012.6271503
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of Duration: 20 May 2012 → 23 May 2012

Conference

Conference	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
Country/Territory	Korea, Republic of
City	Seoul
Period	20/05/12 → 23/05/12

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10.1109/ISCAS.2012.6271503

Cite this

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title = "Bio-inspired gas recognition based on the organization of the olfactory pathway",

abstract = "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.",

author = "\{Al Yamani\}, \{Jaber Hassan J.\} and Farid Boussaid and Amine Bermak and Dominique Martinez",

year = "2012",

doi = "10.1109/ISCAS.2012.6271503",

language = "English",

pages = "1391--1394",

note = "2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 ; Conference date: 20-05-2012 Through 23-05-2012",

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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 - Paper

AN - SCOPUS:84866627412

SP - 1391

EP - 1394

T2 - 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012

Y2 - 20 May 2012 through 23 May 2012

ER -

Bio-inspired gas recognition based on the organization of the olfactory pathway

Abstract

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