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

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.