Biometric-rich gestures

Abstract

In this paper, we present a novel multi-touch gesture-based authentication technique. We take advantage of the multitouch surface to combine biometric techniques with gestural input. We defined a comprehensive set of five-finger touch gestures, based upon classifying movement characteristics of the center of the palm and fingertips, and tested them in a user study combining biometric data collection with usability questions. Using pattern recognition techniques, we built a classifier to recognize unique biometric gesture characteristics of an individual. We achieved a 90% accuracy rate with single gestures, and saw significant improvement when multiple gestures were performed in sequence. We found user ratings of a gestures desirable characteristics (ease, pleasure, excitement) correlated with a gestures actual biometric recognition ratethat is to say, user ratings aligned well with gestural security, in contrast to typical text-based passwords. Based on these results, we conclude that multi-touch gestures show great promise as an authentication mechanism.

A human computer interactions framework for biometric user identification

“…Such a modular approach allows for coverage of a wide span of input methods and technologies starting with traditional mouse-based input and its enhancements with gesture dynamics [2], going through classic 2-DOF digitizers, tablets, and sign pads for 2D graphical input and their enhanced multiple-DOF versions capable to track the stylus azimuth, elevation, and applied forces [3]. We also cover current touch screen based input both for singleand multi-touch surfaces [4]. While there are many applications that employ tablets and electronic sign pads to authorize access to bank accounts or credit card purchases, they are all limited to obtaining a user signature on a specialized flat surface [5].…”

Authentication systems: principles and threats

“…A touch screen authentication system has been developed in (Sae-Bae, Ahmed, Isbister, & Memon, 2012 They also have shown that user defined gestures present better results than the supplied ones. The same conclusion has been confirmed in (Sherman et al, 2014) through the use of free-form gesture in the authentication system.…”

Password security enhancement method by flick input with considering the floor shake

“…The other method by Sae-Bae et al [10] is almost the same as a method by Iseri et al The method by Sae-Bae et al requires a big screen such as a screen on a 10 inch tablet.…”

“…The difference of the right side of equations (8) and (9) is FS i . When users are standing on a stable floor and holding their smart phones, values are acquired as shown in Equation (10).…”