A Framework for Assessing Factors Influencing User Interaction for Touch-based Biometrics

Touch-based behavioural biometrics is an

emerging technique for passive and transparent user

authentication on mobile devices. It utilises dynamics mined

from users’ touch actions to model behaviour. The

interaction of the user with the mobile device using touch is

an important aspect to investigate as the interaction errors

can influence the stability of sample donation and overall

performance of the implemented biometric authentication

system. In this paper, we are outlining a data collection

framework for touch-based behavioural biometric

modalities (signature, swipe and keystroke dynamics) that

will enable us to study the influence of environmental

conditions and body movement on the touch-interaction. In

order to achieve this, we have designed a multi-modal

behavioural biometric data capturing application

“Touchlogger” that logs touch actions exhibited by the user

on the mobile device. The novelty of our framework lies in

the collection of users’ touch data under various usage

scenarios and environmental conditions. We aim to collect

touch data in two different environments - indoors and

outdoors, along with different usage scenarios - whilst the

user is seated at a desk, walking on a treadmill, walking

outdoors and seated on a bus. The range of collected data

may include swiping, signatures using finger and stylus,

alphabetic, numeric keystroke data and writing patterns

using a stylus.