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Sniffing out your identity with breath biometrics

Time:2022-11-01Number of views:Origin:

                               

Researchers have developed an artificial 'nose' that can identify individuals from their breath. Built with a 16-channel sensor array that can detect 

different compounds found in a person's breath, the olfactory sensor system has the potential to become another option in the biometric security to

olkit.Combined with machine learning, the 'artificial nose' was able to authenticate  up to 20 individuals with an average accuracy of more than 97%.


                            微信图片_20230707143127.png

 Biometric authentication like fingerprint and iris scans are a staple of any spy movie, and trying to circumvent those security measures is often a cor

plot point. But these days the technology is not limited to spies, as fingerprint verification and facial recognition are now common features on many 

of our phones. Now, researchers have developed a new potential odorous option for the biometric security toolkit: your breath. 


In a report published in Chemical Communications  researchers from Kyushu University's Institute for Materials Chemistry and Engineering, in colla

boration with the University of Tokyo, have developedan olfactory sensor capable of identifying individuals by analyzing the compounds in their brea

th.  Combined with machine learning, this 'artificial nose,' built with a 16-channel sensor array, was able to authenticate up to 20 individuals with an a

verage accuracy of more than 97%.


In this age of information and technology, biometric authentication is a critical way to safeguard valuable assets. From the usual suspects of fingerprin

ts, palm prints, voices, and facesto the less common options of ear acoustics and finger veins, there are a variety of biometrics that machines can use to

identify you.


"These techniques rely on the physical uniqueness of each individual, but they are not foolproof. Physical characteristics can be copied, or even  come 

promiseby injury," explains Chaiyanut Jirayupat, first author of the study. 

"Recently, human scent has been emerging as a new class of biometric authentication, essentially using your unique chemical composition to confirm 

who you are."


One such target has been percutaneous gas -- compounds produced from your skin. However, these methods have their limits because the skin does not

produce a high enough concentration of volatile compounds for machines to detect.So, the team turned to see if human breath could be used instead.


"The concentration of volatile compounds from the skin can be as low as several parts-per-billion or trillion, while compounds exhaled from the breath 

can go as high as parts-per-million," continues Jirayupat. "In fact, human breath has already been used to identify if a person has cancer, diabetes, and 

even COVID-19."


The team began by analyzing the breath of subjects to see which compounds could be used for biometric authentication. A total of 28 compounds were

found to be viable options.Based on this, they developed an olfactory sensor array with 16 channels, each which could identify a specific range of com

pounds. The sensor data was then passed into a machinlearning system to analyze the composition of each person's breath and develop a profile to be 

used to distinguish an individual.


Testing the system with breath samples from six people, the researchers found it could identify individuals with an average accuracy of 97.8%. This

high level of curacy remainedconsistent even when the sample size was increased to 20 people.     "This was a diverse group of individuals of differing age, sex, and nationality. It's encouraging to see such a high accuracy across the board," explains Takeshi Yanagida who led the study.


Nonetheless, he admits that more work is needed before it arrives on your next smartphone.


"In this work, we required our subjects to fast six hours before testing," concludes Yanagida. "We've developed a good foundation. The next step will

 be to refine this technique to work regardless of diet. Thankfully, our current study showed that adding more sensors and collecting more data can  o

vercome this obstacle."


Next:New Laser-Based Method Could Help Scientists Discover New Puncture-Resistant Materials
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