PhD ECE Seminar
Smart Electronic Nose System for Odor Identification
Advisor: Dr. Li
Thursday, July 29th, 2021 12:00-1:00 PM
Zoom Webinar Link: https://gmu.zoom.us/j/96971492559
Electronic nose (E-nose) is an integrated system consisting of gas sensors and computational electronic components, aiming to emulate the human olfactory system to perform a specific task. Gas sensing technologies including E-nose have been intensively studied and developed since the 1980s for a wide range of applications, from daily uses to military purposes, from mining exploration to space electronics.
Recent research reveals growing interests in E-nose for food safety, medical diagnosis and environment monitoring application. For instance, E-nose has been used to diagnose asthma from human breath, in environment protection to track the polluting gases, and in food appreciation to identify different teas/coffee based on their odor distinctness. Despite these preliminary studies in E-nose, major challenges remain in the sensor fusion whereas gas sensors of different kinds are integrated and used to provide a highly precise and stable detection for various circumstances. In an intelligent E-nose, the complex correlations among sensors and sensor responses and optimization of sensor fusion algorithms are still new research topics.
In this seminar, I will give an introduction to gas sensor technology and the advancement of pattern recognition for odor identification with E-nose. Afterwards, I will present the implementation of an E-nose system and , a convolution neural network (CNN) used for odor identification.