Deep learning has become a breathtaking technology in the last years, overcoming
traditional handcrafted approaches and even humans for many different tasks. However, in …

Passwords are still used on a daily basis for all kind of applications. However, they are not
secure enough by themselves in many cases. This work enhances password scenarios …

Applications based on biometric authentication have received a lot of interest in the last
years due to the breathtaking results obtained using personal traits such as face or …

In this paper we list the sensors commonly available in modern smartphones and provide a
general outlook of the different ways these sensors can be used for modeling the interaction …

We first study the suitability of behavioral biometrics to distinguish between computers and
humans, commonly named as bot detection. We then present BeCAPTCHA-Mouse, a bot …

Keystroke dynamics is a soft biometric trait. Although the shape of the timing distributions in
keystroke dynamics profiles is a central element for the accurate modeling of the behavioral …

This article proposes a novel children–computer interaction (CCI) approach for the task of
age group detection. This approach focuses on the automatic analysis of the time series …

This article provides an overview of recent research in Child-Computer Interaction with
mobile devices and describe our framework ChildCI intended for: i) overcoming the lack of …

Data have become one of the most valuable things in this new era where deep learning
technology seems to overcome traditional approaches. However, in some tasks, such as the …

This article presents a comprehensive analysis of the different tests proposed in the recent
ChildCI framework, 1 proving its potential for generating a better understanding of children's …