Synthetic data in human analysis: A survey
Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …
of applications, such as biometric recognition, action recognition, as well as person re …
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 …
iDeLog: iterative dual spatial and kinematic extraction of sigma-lognormal parameters
The Kinematic Theory of rapid movements and its associated Sigma-Lognormal model have
been extensively used in a large variety of applications. While the physical and biological …
been extensively used in a large variety of applications. While the physical and biological …
Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey
The widespread availability of hand-held devices like tablets, phablets and smart phones,
along with their new handwriting digitizing and their increased computing powers, enable …
along with their new handwriting digitizing and their increased computing powers, enable …
[HTML][HTML] Synthesis of 3D on-air signatures with the Sigma–Lognormal model
Signature synthesis is a computation technique that generates artificial specimens which
can support decision making in automatic signature verification. A lot of work has been …
can support decision making in automatic signature verification. A lot of work has been …
From aging to early-stage Alzheimer's: uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning
MA El-Yacoubi, S Garcia-Salicetti, C Kahindo… - Pattern Recognition, 2019 - Elsevier
We present, in this paper, a novel paradigm for assessing Alzheimer's disease and aging by
analyzing impairment of handwriting (HW) on tablets, a challenging problem that is still in its …
analyzing impairment of handwriting (HW) on tablets, a challenging problem that is still in its …
Deep imitator: Handwriting calligraphy imitation via deep attention networks
Calligraphy imitation (CI) from a handful of target handwriting samples is such a challenging
task that most of the existing writing style analysis or handwriting generation methods do not …
task that most of the existing writing style analysis or handwriting generation methods do not …
Introduction to presentation attacks in signature biometrics and recent advances
C Gonzalez-Garcia, R Tolosana… - Handbook of Biometric …, 2023 - Springer
Applications based on biometric authentication have received a lot of interest in the last
years due to the breathtaking results obtained using personal traits such as face or …
years due to the breathtaking results obtained using personal traits such as face or …