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 …
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 …
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 …
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 …
Modeling the lexical morphology of western handwritten signatures
A handwritten signature is the final response to a complex cognitive and neuromuscular
process which is the result of the learning process. Because of the many factors involved in …
process which is the result of the learning process. Because of the many factors involved in …
Writing order recovery in complex and long static handwriting
M Diaz, G Crispo, A Parziale, A Marcelli… - arXiv preprint arXiv …, 2024 - arxiv.org
The order in which the trajectory is executed is a powerful source of information for
recognizers. However, there is still no general approach for recovering the trajectory of …
recognizers. However, there is still no general approach for recovering the trajectory of …
Exploring speed–accuracy tradeoff in reaching movements: a neurocomputational model
A Parziale, R Senatore, A Marcelli - Neural Computing and Applications, 2020 - Springer
The tradeoff between speed and accuracy of human movements has been exploited from
many different perspectives, such as experimental psychology, workspace design, human …
many different perspectives, such as experimental psychology, workspace design, human …
Using genetic algorithms for the prediction of cognitive impairments
Cognitive impairments affect millions of persons worldwide, and especially elderly ones.
These impairments may be one of the first signs of the arising of neurodegenerative …
These impairments may be one of the first signs of the arising of neurodegenerative …
Do individual characteristics influence the beta-elliptic modeling errors during ellipse drawing movements?
This paper investigates whether age, gender, and degree of familiarity with writing have an
influence on the Beta-elliptic model errors during hand-drawing on a graphical tablet. A …
influence on the Beta-elliptic model errors during hand-drawing on a graphical tablet. A …
Convolutional neural networks for off-line writer identification based on simple graphemes
M Mora, J Naranjo-Torres, V Aubin - Applied Sciences, 2020 - mdpi.com
The writer's identification/verification problem has traditionally been solved by analyzing
complex biometric sources (text pages, paragraphs, words, signatures, etc.). This implies the …
complex biometric sources (text pages, paragraphs, words, signatures, etc.). This implies the …