Handwriting analysis to support neurodegenerative diseases diagnosis: A review
Neurodegenerative diseases (NDs) affect millions of people worldwide, with Alzheimer's
and Parkinson's being the most common ones, and it is expected that their incidence will …
and Parkinson's being the most common ones, and it is expected that their incidence will …
Handwriting biometrics: Applications and future trends in e-security and e-health
Online handwritten analysis presents many applications in e-security, signature biometrics
being the most popular but not the only one. Handwriting analysis also has an important set …
being the most popular but not the only one. Handwriting analysis also has an important set …
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues
A Parziale, R Senatore, A Della Cioppa… - Artificial intelligence in …, 2021 - Elsevier
In the last decades, early disease identification through non-invasive and automatic
methodologies has gathered increasing interest from the scientific community. Among …
methodologies has gathered increasing interest from the scientific community. Among …
Static signature synthesis: A neuromotor inspired approach for biometrics
MA Ferrer, M Diaz-Cabrera… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper we propose a new method for generating synthetic handwritten signature
images for biometric applications. The procedures we introduce imitate the mechanism of …
images for biometric applications. The procedures we introduce imitate the mechanism of …
A behavioral handwriting model for static and dynamic signature synthesis
The synthetic generation of static handwritten signatures based on motor equivalence theory
has been recently proposed for biometric applications. Motor equivalence divides the …
has been recently proposed for biometric applications. Motor equivalence divides the …
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 …
introduce the concept of stability to explain the difference between the actual movements …
Generation of duplicated off-line signature images for verification systems
Biometric researchers have historically seen signature duplication as a procedure relevant
to improving the performance of automatic signature verifiers. Different approaches have …
to improving the performance of automatic signature verifiers. Different approaches have …
An experimental protocol to support cognitive impairment diagnosis by using handwriting analysis
Nowadays diseases involving cognitive impairments affect millions of people worldwide,
with Alzheimer's and Parkinson's diseases being the most common ones. Because of the …
with Alzheimer's and Parkinson's diseases being the most common ones. Because of the …
Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health
Advantageous property of behavioural signals (eg handwriting), in contrast to morphological
ones (eg iris, fingerprint, hand geometry), is the possibility to ask a user to perform many …
ones (eg iris, fingerprint, hand geometry), is the possibility to ask a user to perform many …
Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction
Neurodegenerative diseases, such as Alzheimer's Disease or Parkinson's disease, are
unfortunately still incurable, although there are many therapies that can slow down the …
unfortunately still incurable, although there are many therapies that can slow down the …