TY - GEN
T1 - Odor spatial distribution visualized by a fluorescent imaging sensor
AU - Liu, Chuanjun
AU - Yokoyama, Ryohie
AU - Uchida, Seiichi
AU - Nakano, Koji
AU - Hayashi, Kenshi
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84893905569&partnerID=8YFLogxK
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U2 - 10.1109/ICSENS.2013.6688508
DO - 10.1109/ICSENS.2013.6688508
M3 - Conference contribution
AN - SCOPUS:84893905569
SN - 9781467346405
T3 - Proceedings of IEEE Sensors
BT - IEEE SENSORS 2013 - Proceedings
PB - IEEE Computer Society
T2 - 12th IEEE SENSORS 2013 Conference
Y2 - 4 November 2013 through 6 November 2013
ER -