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Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research
Published on: January 19, 2024
Breath odor-based individual authentication by an artificial olfactory sensor system and machine learning
Chaiyanut Jirayupat1,2, Kazuki Nagashima1,3, Takuro Hosomi1,3
1Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. kazu-n@g.ecc.u-tokyo.ac.jp.
Abstract:
Breath odor sensing-based individual authentication was conducted for the first time using an artificial olfactory sensor system. Using a 16-channel chemiresistive sensor array and machine learning, a mean accuracy of >97% was successfully achieved. The impact of the number of sensors on the accuracy and reproducibility was also demonstrated.
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