A survey of privacy vulnerabilities of mobile device sensors
The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
TypeNet: Deep learning keystroke biometrics
We study the performance of Long Short-Term Memory networks for keystroke biometric
authentication at large scale in free-text scenarios. For this we explore the performance of …
authentication at large scale in free-text scenarios. For this we explore the performance of …
The utility of behavioral biometrics in user authentication and demographic characteristic detection: a scoping review
Background Objective measures of screen time are necessary to better understand the
complex relationship between screen time and health outcomes. However, current objective …
complex relationship between screen time and health outcomes. However, current objective …
DeepSign: Deep on-line signature verification
Deep learning has become a breathtaking technology in the last years, overcoming
traditional handcrafted approaches and even humans for many different tasks. However, in …
traditional handcrafted approaches and even humans for many different tasks. However, in …
BioTouchPass2: Touchscreen password biometrics using time-aligned recurrent neural networks
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 …
secure enough by themselves in many cases. This work enhances password scenarios …
Smartphone sensors for modeling human-computer interaction: General outlook and research datasets for user authentication
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 …
general outlook of the different ways these sensors can be used for modeling the interaction …
BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdb
In this paper we study the suitability of a new generation of CAPTCHA methods based on
smartphone interactions. The heterogeneous flow of data generated during the interaction …
smartphone interactions. The heterogeneous flow of data generated during the interaction …
[HTML][HTML] Continuous document layout analysis: Human-in-the-loop AI-based data curation, database, and evaluation in the domain of public affairs
In the digital era, the amount of digital documents generated each day have being
increasing exponentially with the years, to a point where it is unfeasible to process them …
increasing exponentially with the years, to a point where it is unfeasible to process them …
Characterization of the Handwriting Skills as a Biomarker for Parkinson's Disease
R Castrillón, A Acien… - 2019 14th IEEE …, 2019 - ieeexplore.ieee.org
In this paper we evaluate the suitability of handwriting patterns as potential biomarkers to
model Parkinson's disease (PD). Although the study of PD is attracting the interest of many …
model Parkinson's disease (PD). Although the study of PD is attracting the interest of many …
On the shape of timings distributions in free-text keystroke dynamics profiles
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 …
keystroke dynamics profiles is a central element for the accurate modeling of the behavioral …