Online Scent Classification by Ion-Mobility Spectrometry Sequences

Online Scent Classification by Ion-Mobility Spectrometry Sequences

For ion-mobility spectrometry (IMS)-based electronic noses (eNose) samples of scents are markedly time-dependent, with a transient phase and a highly volatile stable phase in certain conditions. At the same time, the samples depend on various environmental factors, such as temperature and humidity....

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Bibliographic Details
Main Authors: Philipp Müller, Katri Salminen, Anton Kontunen, Markus Karjalainen, Poika Isokoski, Jussi Rantala, Joni Leivo, Jari Väliaho, Pasi Kallio, Jukka Lekkala, Veikko Surakka
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
ion-mobility spectrometry
electronic nose
K nearest neighbors
scent classification
time-series analysis
device heterogeneity
Online Access:https://www.frontiersin.org/article/10.3389/fams.2019.00039/full

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https://www.frontiersin.org/article/10.3389/fams.2019.00039/full

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