Odor spatial distribution visualized by a fluorescent imaging sensor

Chuanjun Liu, Ryohie Yokoyama, Seiichi Uchida, Koji Nakano, Kenshi Hayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The detection of spatial-temporal distribution of odors is a significant but challenging work in the field of odor sensors. In this paper a fluorescent imaging sensor system consisting of an excitation light, a fluorescent film and a cooled CCD camera was proposed to visually detect the odor spatial distribution. The visualization principle was based on the fluorescent quenching or enhancing caused by the interaction between the film and odor substances. The change of fluorescent intensity was recorded by the CCD camera and visualized by subtraction image analysis. The proposed sensor could visualize not only the shape and size of an odor flow injected to the film surface, but also the concentration gradient in the interior of odor flows. Additionally, 2D and 3D imaging approaches were used to visualize some special examples related to the spatial distribution of odors, such as the direction of odor flows, the shape of odor marks, and the impact of two different odor flows on the film surface.

Original languageEnglish
Title of host publicationIEEE SENSORS 2013 - Proceedings
PublisherIEEE Computer Society
ISBN (Print)9781467346405
DOIs
Publication statusPublished - Jan 1 2013
Event12th IEEE SENSORS 2013 Conference - Baltimore, MD, United States
Duration: Nov 4 2013Nov 6 2013

Publication series

NameProceedings of IEEE Sensors

Other

Other12th IEEE SENSORS 2013 Conference
CountryUnited States
CityBaltimore, MD
Period11/4/1311/6/13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • Cite this

    Liu, C., Yokoyama, R., Uchida, S., Nakano, K., & Hayashi, K. (2013). Odor spatial distribution visualized by a fluorescent imaging sensor. In IEEE SENSORS 2013 - Proceedings [6688508] (Proceedings of IEEE Sensors). IEEE Computer Society. https://doi.org/10.1109/ICSENS.2013.6688508