Breath odor-based individual authentication by an artificial olfactory sensor system and machine learning. Issue 44 (20th May 2022)

• Record Type: Journal Article
• Authors: Jirayupat, Chaiyanut; Nagashima, Kazuki; Hosomi, Takuro; Takahashi, Tsunaki; Samransuksamer, Benjarong; Hanai, Yosuke; Nakao, Atsuo; Nakatani, Masaya; Liu, Jiangyang; Zhang, Guozhu; Tanaka, Wataru; Kanai, Masaki; Yasui, Takao; Baba, Yoshinobu; Yanagida, Takeshi
• Is Part Of: Chemical communications. Volume 58:Issue 44(2022)
• Page Start: 6377
• Page End: 6380
• Publication Date: 2022-05-20
• Subjects: Chemistry -- Periodicals; 540
• DOI: 10.1039/d1cc06384g
• Languages: English
• ISSNs: 1359-7345

Abstract

Abstract : The potential feasibility of breath odor sensing-based individual authentication was demonstrated by a 16-channel chemiresistive sensor array and machine learning. 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.