A Polytechnic Institute of New York University researcher, Napa Sae-Bae, has been studying ways to utilize a person’s hand gestures and swipes on a touch sreen device to authenticate user access. Sae-Bae’s work should enable devices to secure their data and the physical device itself by recognizing authorized users swipes thanks to their unique biological features. The researcher believes that one day her technique could replace the conventional log in process that is found on the ever growing number of touch screen products today. The authentication method has a chance to become the norm because it uses a non-intrusive method that requires no extra equipment to provide security access. Sae-Bae’s technology should be more desirable to users because they are easily able to replace retina scanning and finger-printing because no extra money for sensors will be required.
Napa Sae-Bae, who is doing her doctorate at the NYU-Poly’s department of computer science created a new algorithm to recognize the user’s unique biological traits. These characteristics can include “hand shape, finger movement, and finger length.” The PHD student took her algorithm and made an iPad application to make full use of the device’s popularity and touchscreen and test out her work. A group of 34 participants were asked to make movement like “rotating their open palm or opening a clenched fist against the screen” to identify themselves and the program was checked to see if it could correctly figure out who was making the hand gestures. Sae-Bae experiment showed that her algorithm was able to correctly co-relate an impressive 90% of the hands with individual participants.
She showcased her work at the Kaspersky student competition called ‘IT Security for the Next Generation’ in the early part of 2012. At the time she was awarded third place by the IT security firm. In order to make the technology commercially viable, Sae-Bae will need to further improve the accuracy of the app and create more stability.
Source: PSFK
Photo: PSFK
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