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Found 33 papers, 13 papers with code
Statistical Keystroke Synthesis for Improved Bot Detection
This work proposes two statistical approaches for the synthesis of keystroke biometric data based on Universal and User-dependent Models.
Mobile Keystroke Biometrics Using Transformers
One of the most popular traits in the literature is keystroke dynamics due to the large deployment of computers and mobile devices in our society.
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Privacy-enhancing technologies are technologies that implement fundamental data protection principles.
BehavePassDB: Benchmarking Mobile Behavioral Biometrics
Mobile behavioral biometrics have become a popular topic of research, reaching promising results in terms of authentication, exploiting a multimodal combination of touchscreen and background sensor data.
Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition
Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method.
Biometric Signature Verification Using Recurrent Neural Networks
Architectures based on Recurrent Neural Networks (RNNs) have been successfully applied to many different tasks such as speech or handwriting recognition with state-of-the-art results.
BioTouchPass: Handwritten Passwords for Touchscreen Biometrics
A complete analysis of our proposed biometric system is carried out regarding the discriminative power of each handwritten digit and the robustness when increasing the length of the password and the number of enrolment samples.
ChildCI Framework: Analysis of Motor and Cognitive Development in Children-Computer Interaction for Age Detection
This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, proving its potential for generating a better understanding of children's neuromotor and cognitive development along time, as well as their possible application in other research areas such as e-Health and e-Learning.
ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation
In this study, we perform extensive analysis and comparison of different scenarios in ECG biometric recognition.
Mobile Behavioral Biometrics for Passive Authentication
Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings.
Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
Background- This paper summarizes the state-of-the-art and applications based on online handwritting signals with special emphasis on e-security and e-health fields.
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning
The experimental framework is carried out using a public multimodal database for eye blink detection and attention level estimation called mEBAL, which comprises data from 38 students and multiples acquisition sensors, in particular, i) an electroencephalogram (EEG) band which provides the time signals coming from the student's cognitive information, and ii) RGB and NIR cameras to capture the students face gestures.
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning
This study proposes GaitPrivacyON, a novel mobile gait biometrics verification approach that provides accurate authentication results while preserving the sensitive information of the subject.
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation
This work presents a new deep learning approach for keystroke biometrics based on a novel Distance Metric Learning method (DML).
SVC-onGoing: Signature Verification Competition
This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, and standard experimental protocols.
ICDAR 2021 Competition on On-Line Signature Verification
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021).
Child-Computer Interaction with Mobile Devices: Recent Works, New Dataset, and Age Detection
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 large-scale publicly available databases in the area, ii) generating a better understanding of the cognitive and neuromotor development of children along time, contrary to most previous studies in the literature focused on a single-session acquisition, and iii) enabling new applications in e-Learning and e-Health through the acquisition of additional information such as the school grades and children's disorders, among others.
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
This work introduces a novel DeepFake detection framework based on physiological measurement.
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
These two properties give a lot of flexibility to our synthesiser, e. g., as shown in our experiments, DeepWriteSYN can generate realistic handwriting variations of a given handwritten structure corresponding to the natural variation within a given population or a given subject.
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
This work presents mEBAL, a multimodal database for eye blink detection and attention level estimation.
Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBB
In this study we estimate the heart rate from face videos for student assessment.
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
Behavioral biometrics can be powerful tools in this fight.
DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance
Media forensics has attracted a lot of attention in the last years in part due to the increasing concerns around DeepFakes.
Blockchain in the Internet of Things: Architectures and Implementation
The world is becoming more interconnected every day.
Cryptography and Security Computers and Society
Enhanced Self-Perception in Mixed Reality: Egocentric Arm Segmentation and Database with Automatic Labelling
In this study, we focus on the egocentric segmentation of arms to improve self-perception in Augmented Virtuality (AV).
Blockchain meets Biometrics: Concepts, Application to Template Protection, and Trends
Blockchain technologies provide excellent architectures and practical tools for securing and managing the sensitive and private data stored in biometric templates, but at a cost.
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.
BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks
ii) We perform a complete analysis of the proposed approach considering both traditional authentication systems such as Dynamic Time Warping (DTW) and novel approaches based on Recurrent Neural Networks (RNNs).
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications towards society in this era of fake news.
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
The availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial Networks (GANs), have led to the generation of extremely realistic fake facial content, raising obvious concerns about the potential for misuse.
Biometric Template Storage with Blockchain: A First Look into Cost and Performance Tradeoffs
We explore practical tradeoffs in blockchain-based biometric template storage.
Cryptography and Security
Biometric Presentation Attack Detection: Beyond the Visible Spectrum
The increased need for unattended authentication in multiple scenarios has motivated a wide deployment of biometric systems in the last few years.
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Our method is based on an adversarial regularizer that introduces a sensitive information removal function in the learning objective.
