An Implicit Author Verification System for Text Messages Based on Gesture Typing Biometrics
Date: April 2014
Publication: Proceedings of the 2014 SIGCHI Conference on Human Factors in Computing Systems, CHI '14
Page(s): 2951 - 2954
Source 1: http://dx.doi.org/10.1145/2556288.2557346 - Subscription or payment required
Abstract or Summary:
Gesture typing is a popular text input method used on smartphones. Gesture keyboards are based on word gestures that subsequently trace all letters of a word on a virtual keyboard. Instead of tapping a word key by key, the user enters a word gesture with a single continuous stroke. In this paper, we introduce an implicit user verification approach for short text messages that are entered with a gesture keyboard. We utilize the way people interact with gesture keyboards to extract behavioral biometric features. We propose a proof-of-concept classification framework that learns the gesture typing behavior of a person and is able to decide whether a gestured message was written by the legitimate user or an imposter. Data collected from gesture keyboard users in a user study is used to assess the performance of the classification framework, demonstrating that the technique has considerable promise.
Do you have additional information to contribute regarding this research paper? If so, please email firstname.lastname@example.org with the details.