Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 6-1 Kasuga-Koen, Kasuga, Fukuoka, 816-8580, Japan.
Chem Commun (Camb). 2022 May 30;58(44):6377-6380. doi: 10.1039/d1cc06384g.
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.
基于呼吸气味传感的个体认证首次使用人工嗅觉传感器系统进行。使用 16 通道的化学电阻式传感器阵列和机器学习，成功实现了>97%的平均准确率。还展示了传感器数量对准确性和可重复性的影响。
