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Found 19 papers, 1 papers with code
MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification
Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment.
Uniform vs. Lognormal Kinematics in Robots: Perceptual Preferences for Robotic Movements
The main difference lies in the fact that the robotic movement has a trapezoidal speed profile, while for the human arm, the speed profile is bell-shaped and during complex movements, it can be considered as a sum of superimposed bell-shaped movements.
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment
The aim of this work is to introduce a new scale (GHDRS Graphomotor and Handwriting Disabilities Rating Scale) that will enable experts to perform objective and complex computeraided diagnosis and assessment of GD and HD.
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features
The Sigma-lognormal model is conceived for movement analysis and can also be applied to handwriting.
CowScreeningDB: A public benchmark dataset for lameness detection in dairy cows
Aside from the public sharing of the dataset, we have also shared a machine-learning technique which classifies the caws in healthy and lame by using the raw sensory data.
Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures
In automatic signature verification, questioned specimens are usually compared with reference signatures.
A Perspective Analysis of Handwritten Signature Technology
Ever since, and over the last 10 years, the application of handwritten signature technology has strongly evolved, and much research has focused on the possibility of applying systems based on handwritten signature analysis and processing to a multitude of new fields.
Explainable offline automatic signature verifier to support forensic handwriting examiners
We believe that our ASV has the potential to improve the acceptance of signature verification in critical applications such as forensic science and legal judgments.
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification
Building upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements performed during multiple execution of the subject's signature, and conjecture that the most stable parts of the signature should play a paramount role in evaluating the similarity between a questioned signature and the reference ones during signature verification.
Static and Dynamic Synthesis of Bengali and Devanagari Signatures
This paper aims to adapt this scheme for the generation of synthetic signatures in two Indic scripts, Bengali (Bangla), and Devanagari (Hindi).
Synthesis of 3D on-air signatures with the Sigma-Lognormal model
Addressing the usual cases involving the development of artificial individuals and duplicated samples, this paper contributes to the synthesis of: (1) the trajectory and velocity of entirely 3D new signatures; (2) kinematic information when only the 3D trajectory of the signature is known, and (3) duplicate samples of 3D real signatures.
Extending the kinematic theory of rapid movements with new primitives
It is constructed mainly as a temporal overlap of curves between virtual target points.
Temporal evolution in synthetic handwriting
New methods for generating synthetic handwriting images for biometric applications have recently been developed.
iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters
The first one, influenced by the motor equivalence model, separately derives an initial action plan defined by a set of virtual points and angles from the trajectory and a sequence of lognormals from the velocity.
The RPM3D project: 3D Kinematics for Remote Patient Monitoring
This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches.
Towards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches
Assessing the physical condition in rehabilitation scenarios is a challenging problem, since it involves Human Activity Recognition (HAR) and kinematic analysis methods.
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection
Different bot detectors are considered based on several supervised classifiers (Support Vector Machine, Random Forest, Gaussian Naive Bayes and a Long Short-Term Memory network) and a learning framework including human and synthetic samples.
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.
Human or Machine? It Is Not What You Write, But How You Write It
Online fraud often involves identity theft.
