Napa Sae-Bae from the Polytechnic Institute of NYU is developing methods that use gestures as alternatives to alpha-numeric logins.

Napa Sae-Bae from the Polytechnic Institute of New York University is working on a new method of authentication for touchscreen devices using hand gestures and finger swipes. This could provide a desirable login alternative to passwords on tablets and smartphones, recognizing individuals’ biological features to give them access.

The doctoral student at the department of computer science built an algorithm to detect unique biological traits from hand shape, finger movement, and finger length. She created an iPad app that matched people to the gestures they made on the touchscreen, like rotating their open palm or opening a clenched fist against the screen. In experiments with 34 participants, Sae-Bae achieved 90% accuracy in identifying who the gestures belonged to.

PREMIUM SUBSCRIPTION CONTENT
This content is available for Premium Subscribers only.
Already a subscriber? Log in