Biometric Bracelet Measures Unique Electric Impedance To Recognize Wearer
Computer scientist Cory Cornelius at Dartmouth College, in New Hampshire, has developed a device that uses the unique response to a weak electric signal to identify the wearer. This wristwatch measures the person's "bioimpedance" to recognize the wearer. Impedance varies with each person's wrist, and is a unique jumble of bone, flesh, and blood vessels.
More and more medical devices are being computerized, which makes them equally prone to hacking. Medical devices getting hacked could have very serious implications, hence, measures have to be taken to avoid such a scenario. The device developed by Cornelius is almost impervious to hack due to its clever use of bioimpedance as a biometric to identify the user.
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The device holds various benefits for authenticating users. For example, authentication can match household members with their results in a household which shares an exercise-monitoring device. The device functions by sending an alternating current through the wearer's wrist from one electrode to the other. The electrodes detect wrist's resistance and reactivity, which are components of impedance. The processor then filtered seven features from the electrode pattern, and a series of five readings per user was provided to train the processor in recognizing the wearer's profile.
When put to test, the device was able to correctly identify the user 80 to 90 percent of the time.
Source: #-Link-Snipped-#Â Image Credit: #-Link-Snipped-#
More and more medical devices are being computerized, which makes them equally prone to hacking. Medical devices getting hacked could have very serious implications, hence, measures have to be taken to avoid such a scenario. The device developed by Cornelius is almost impervious to hack due to its clever use of bioimpedance as a biometric to identify the user.
#-Link-Snipped-#
The device holds various benefits for authenticating users. For example, authentication can match household members with their results in a household which shares an exercise-monitoring device. The device functions by sending an alternating current through the wearer's wrist from one electrode to the other. The electrodes detect wrist's resistance and reactivity, which are components of impedance. The processor then filtered seven features from the electrode pattern, and a series of five readings per user was provided to train the processor in recognizing the wearer's profile.
When put to test, the device was able to correctly identify the user 80 to 90 percent of the time.
Source: #-Link-Snipped-#Â Image Credit: #-Link-Snipped-#
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