AI Article Synopsis
- A new method for identifying individuals based on their breath odor was developed using an artificial olfactory sensor system.
- The system utilized a 16-channel chemiresistive sensor array combined with machine learning to achieve over 97% accuracy in identification.
- The study highlighted how the number of sensors influenced both the accuracy and consistency of the results.
Article 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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| http://dx.doi.org/10.1039/d1cc06384g | DOI Listing |
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