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

Chaiyanut JirayupatKazuki NagashimaTakuro HosomiTsunaki TakahashiBenjarong SamransuksamerYosuke HanaiAtsuo NakaoMasaya NakataniJiangyang LiuGuozhu ZhangWataru TanakaMasaki KanaiTakao YasuiYoshinobu BabaTakeshi Yanagida
Published in: Chemical communications (Cambridge, England) (2022)
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.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • high throughput
  • low cost