Breath odor-based individual authentication by an artificial olfactory sensor system and machine learning

Chaiyanut Jirayupat, Kazuki Nagashima, Takuro Hosomi, Tsunaki Takahashi, Benjarong Samransuksamer, Yosuke Hanai, Atsuo Nakao, Masaya Nakatani, Jiangyang Liu, Guozhu Zhang, Wataru Tanaka, Masaki Kanai, Takao Yasui, Yoshinobu Baba, Takeshi Yanagida

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)6377-6380
Number of pages4
JournalChemical Communications
Volume58
Issue number44
DOIs
Publication statusPublished - May 20 2022

All Science Journal Classification (ASJC) codes

  • Catalysis
  • Electronic, Optical and Magnetic Materials
  • Ceramics and Composites
  • Chemistry(all)
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Materials Chemistry

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