Human-centric multimodal machine learning: Recent advances and testbed on AI-based recruitment

A Peña, I Serna, A Morales, J Fierrez, A Ortega… - SN Computer …, 2023 - Springer
The presence of decision-making algorithms in society is rapidly increasing nowadays,
while concerns about their transparency and the possibility of these algorithms becoming …

Touch-based continuous mobile device authentication: State-of-the-art, challenges and opportunities

AZ Zaidi, CY Chong, Z Jin, R Parthiban… - Journal of Network and …, 2021 - Elsevier
The advancement in the computational capability and storage size of a modern mobile
device has evolved it into a multi-purpose smart device for individual and business needs …

[HTML][HTML] BehavePassDB: public database for mobile behavioral biometrics and benchmark evaluation

G Stragapede, R Vera-Rodriguez, R Tolosana… - Pattern Recognition, 2023 - Elsevier
Mobile behavioral biometrics have become a popular topic of research, reaching promising
results in terms of authentication, exploiting a multimodal combination of touchscreen and …

[HTML][HTML] Mobile behavioral biometrics for passive authentication

G Stragapede, R Vera-Rodriguez, R Tolosana… - Pattern Recognition …, 2022 - Elsevier
Current mobile user authentication systems based on PIN codes, fingerprint, and face
recognition have several shortcomings. Such limitations have been addressed in the …

[HTML][HTML] M-GaitFormer: Mobile biometric gait verification using Transformers

P Delgado-Santos, R Tolosana, R Guest… - … Applications of Artificial …, 2023 - Elsevier
Mobile devices such as smartphones and smartwatches are part of our everyday life,
acquiring large amount of personal information that needs to be properly secured. Among …

[HTML][HTML] SwipeFormer: Transformers for mobile touchscreen biometrics

P Delgado-Santos, R Tolosana, R Guest… - Expert Systems with …, 2024 - Elsevier
The growing number of mobile devices over the past few years brings a large amount of
personal information, which needs to be properly protected. As a result, several mobile …

mEBAL: A multimodal database for eye blink detection and attention level estimation

R Daza, A Morales, J Fierrez, R Tolosana - Companion publication of the …, 2020 - dl.acm.org
This work presents mEBAL, a multimodal database for eye blink detection and attention
level estimation. The eye blink frequency is related to the cognitive activity and automatic …

BeCAPTCHA: Behavioral bot detection using touchscreen and mobile sensors benchmarked on HuMIdb

A Acien, A Morales, J Fierrez, R Vera-Rodriguez… - … Applications of Artificial …, 2021 - Elsevier
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 …

BeCAPTCHA-Mouse: Synthetic mouse trajectories and improved bot detection

A Acien, A Morales, J Fierrez, R Vera-Rodriguez - Pattern Recognition, 2022 - Elsevier
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 …

Machine learning-based novel continuous authentication system using soft keyboard typing behavior and motion sensor data

EA Sağbaş, S Ballı - Neural Computing and Applications, 2024 - Springer
Smartphones utilize various authentication methods, including passwords, fingerprints, and
face recognition. While this information is quite practical and easy to remember, it introduces …