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 …
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 …
[PDF][PDF] Some Observations on Handwriting from a Motor Learning Perspective.
A Marcelli, A Parziale, R Senatore - AFHA, 2013 - Citeseer
We discuss the dynamics of signatures in the light of recent findings in motor learning,
according to which a signature is a highly automated motor task and, as such, it is stored in …
according to which a signature is a highly automated motor task and, as such, it is stored in …
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 …
An interactive tool for forensic handwriting examination
A Parziale, A Santoro, A Marcelli… - … on Frontiers in …, 2014 - ieeexplore.ieee.org
We introduce a tool for quantitative evaluation of handwriting features largely adopted
during forensic examination of questioned documents. The tool is based on a model of …
during forensic examination of questioned documents. The tool is based on a model of …
Modelling visual appearance of handwriting
A Marcelli, A Parziale, A Santoro - … , Naples, Italy, September 9-13, 2013 …, 2013 - Springer
We present an experimental validation of a model of handwriting style that builds upon a
neuro-computational model of motor learning and execution. We hypothesize that …
neuro-computational model of motor learning and execution. We hypothesize that …
Optimizing Handwritten Arabic Character Recognition: Feature Extraction, Concatenation, and PSO-Based Feature Selection.
S Rouabhi, KEK Belbachir, R Tlemsani - 2023 - researchsquare.com
Recognizing and writing Arabic characters correctly is a difficult task, especially for non-
native speakers. With the growing trend toward digital teaching and distance learning, there …
native speakers. With the growing trend toward digital teaching and distance learning, there …
Extracting style and emotion from handwriting
L Likforman-Sulem, A Esposito… - Advances in neural …, 2015 - Springer
Humans produce handwriting samples in their every-day life activity. Handwriting can be
collected on-line, thanks to digitizing tablets, or off-line by scanning paper sheets. One …
collected on-line, thanks to digitizing tablets, or off-line by scanning paper sheets. One …
Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments
Cognitive impairments are one of the first signs of neurodegenerative diseases, eg
Alzheimer's and Parkinson's. For this reason, their early diagnosis is crucial to better …
Alzheimer's and Parkinson's. For this reason, their early diagnosis is crucial to better …