Identification using vibrations in finger

Engineers from the Rutgers University in New Jersey have developed an identification system that detects the vibrations in a finger in order to verify users. This clever security system called VibWrite makes verification of users possible when the fingers touch a smooth surface. The inventors think that this system can be cheaper than identification using a fingerprint or iris scan.

Engineers from the Rutgers University in New Jersey have developed an identification system that detects the vibrations in a finger in order to verify users. This clever security system called VibWrite makes verification of users possible when the fingers touch a smooth surface. The inventors think that this system can be cheaper than identification using a fingerprint or iris scan.

Professor Jennifer Chen from the department of Electronics and Computer Technology explains the principle: “Everybody has unique fingers and exerts a different pressure with their finger tips on a surface. Sensors can detect these subtle physiological and behavioral differences and identify and authenticate a person”.

Vibration motor and piezo sensor

The system comprises a vibration motor that is attached to a smooth surface and produces vibrations. A piezoelectric sensor a small distance away senses vibrations and converts them into a measurable voltage. When a user places their finger between the motor and the sensor at will influences the propagation of the vibrations. Because everybody uses their fingers in a different way the sensor will always measure different and unique vibrations. “Sensors that can detect the subtle differences in physiology and behavior can identify a person this way”, according to Jennifer Chen from Rutgers University.

 

This is an experimental setup of VibWrite on a wooden table and on a door panel.

The engineers reported that the system can be used for doors with electronic locks, car doors and laptops. In brief, any device with a smooth surface. The VibWrite integrates different password techniques and behavior and physiologic characteristics, but relies mostly on the ‘touch-sensing’ of the vibration signals.

Through initial testing with using test subjects it turned out that in 95% of cases the correct person was detected. In 3% of cases it went wrong, which implies further research and testing.

 

Three independent types of user identification.

The researchers are now working on a more advanced system that uses multiple sensor pairs, refine the hardware…

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