Alejandro Acien
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View article: KVC-onGoing: Keystroke Verification Challenge
KVC-onGoing: Keystroke Verification Challenge Open
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale public databases, the Aalto University Keystroke databases, …
View article: KVC-onGoing: Keystroke Verification Challenge
KVC-onGoing: Keystroke Verification Challenge Open
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing)1, on which researchers can easily benchmark their systems in a common platform using large-scale public databases, the Aalto University Keystroke databases,…
View article: Generalizing Parkinson’s disease detection using keystroke dynamics: a self-supervised approach
Generalizing Parkinson’s disease detection using keystroke dynamics: a self-supervised approach Open
Objective Passive monitoring of touchscreen interactions generates keystroke dynamic signals that can be used to detect and track neurological conditions such as Parkinson’s disease (PD) and psychomotor impairment with minimal burden on th…
View article: Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets
Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets Open
Passive monitoring of touchscreen interactions generates keystroke dynamic signals that can be used to detect and track neurological conditions such as Parkinson's disease and psychomotor impairment with minimal burden on the user. However…
View article: BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection Open
This work proposes a data driven learning model for the synthesis of keystroke biometric data. The proposed method is compared with two statistical approaches based on Universal and User-dependent models. These approaches are validated on …
View article: Detection of Mental Fatigue in the General Population: Feasibility Study of Keystroke Dynamics as a Real-world Biomarker
Detection of Mental Fatigue in the General Population: Feasibility Study of Keystroke Dynamics as a Real-world Biomarker Open
Background Mental fatigue is a common and potentially debilitating state that can affect individuals’ health and quality of life. In some cases, its manifestation can precede or mask early signs of other serious mental or physiological con…
View article: BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection Open
This work proposes a data driven learning model for the synthesis of keystroke biometric data. The proposed method is compared with two statistical approaches based on Universal and User-dependent models. These approaches are validated on …
View article: Mobile Passive Authentication through Touchscreen and Background Sensor Data
Mobile Passive Authentication through Touchscreen and Background Sensor Data Open
The security and usability shortcomings of current mobile user authentication systems based on PIN codes, fingerprint, and face recognition are well known. To overcome such limitations, the present work focuses on the comparative analysis …
View article: Mobile behavioral biometrics for passive authentication
Mobile behavioral biometrics for passive authentication Open
Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings. Such limitations have been addressed in the literature by exploring the feasibility of passive authentication on mo…
View article: Mobile Behavioral Biometrics for Passive Authentication
Mobile Behavioral Biometrics for Passive Authentication Open
Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings. Such limitations have been addressed in the literature by exploring the feasibility of passive authentication on mo…
View article: TypeNet: Deep Learning Keystroke Biometrics
TypeNet: Deep Learning Keystroke Biometrics Open
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 Long Short-Term Memory (LSTMs) networks trained with a moderat…
View article: SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing\n Interpretation
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing\n Interpretation Open
This work presents a new deep learning approach for keystroke biometrics\nbased on a novel Distance Metric Learning method (DML). DML maps input data\ninto a learned representation space that reveals a "semantic" structure based\non distan…
View article: TypeNet: Scaling up Keystroke Biometrics
TypeNet: Scaling up Keystroke Biometrics Open
We study the suitability of keystroke dynamics to authenticate 100K users typing free-text. For this, we first analyze to what extent our method based on a Siamese Recurrent Neural Network (RNN) is able to authenticate users when the amoun…
View article: TypeNet: Scaling up keystroke biometrics
TypeNet: Scaling up keystroke biometrics Open
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, cre…
View article: Assessing the Quality of Swipe Interactions for Mobile Biometric Systems
Assessing the Quality of Swipe Interactions for Mobile Biometric Systems Open
Quality estimation is a key study in biometrics, allowing optimisation and improvement of existing authentication systems by giving a prediction on the model performance based on the goodness of the sample or the user. In this paper, we pr…
View article: Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic Open
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, cre…
View article: Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication
Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication Open
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 between human and smartphones. We then provide a taxonomy…
View article: Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic Open
This work proposes and analyzes the use of keystroke biometrics for content de-anonymization. Fake news have become a powerful tool to manipulate public opinion, especially during major events. In particular, the massive spread of fake new…
View article: BeCAPTCHA: Bot Detection in Smartphone Interaction using Touchscreen Biometrics and Mobile Sensors.
BeCAPTCHA: Bot Detection in Smartphone Interaction using Touchscreen Biometrics and Mobile Sensors. Open
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 with the smartphones can be used to model human behaviour when …
View article: BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection
BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection Open
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 detector based on: i) a neuromotor model of mouse dynamics to obta…
View article: BeCAPTCHA: Detecting Human Behavior in Smartphone Interaction using Multiple Inbuilt Sensors
BeCAPTCHA: Detecting Human Behavior in Smartphone Interaction using Multiple Inbuilt Sensors Open
We introduce a novel multimodal mobile database called HuMIdb (Human Mobile Interaction database) that comprises 14 mobile sensors acquired from 600 users. The heterogeneous flow of data generated during the interaction with the smartphone…
View article: Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease
Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease Open
In this paper we evaluate the suitability of handwriting patterns as potential biomarkers to model Parkinson disease (PD). Although the study of PD is attracting the interest of many researchers around the world, databases to evaluate hand…
View article: MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns
MultiLock: Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns Open
In this paper we evaluate mobile active authentication based on an ensemble of biometrics and behavior-based profiling signals. We consider seven different data channels and their combination. Touch dynamics (touch gestures and keystroking…
View article: Active detection of age groups based on touch interaction
Active detection of age groups based on touch interaction Open
This article studies user classification into children and adults according to their interaction with touchscreen devices. The authors analyse the performance of two sets of features derived from the sigma‐lognormal theory of rapid human m…