A perspective analysis of handwritten signature technology

M Diaz, MA Ferrer, D Impedovo, MI Malik… - Acm Computing …, 2019 - dl.acm.org
Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …

A literature review of online handwriting analysis to detect Parkinson's disease at an early stage

I Aouraghe, G Khaissidi, M Mrabti - Multimedia Tools and Applications, 2023 - Springer
Parkinson's disease (PD) affects millions of people worldwide, it dramatically affects the
brain areas' structure and functions. Therefore, it causes a progressive decline of cognitive …

Handwriting biometrics: Applications and future trends in e-security and e-health

M Faundez-Zanuy, J Fierrez, MA Ferrer, M Diaz… - Cognitive …, 2020 - Springer
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 …

Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs

M Diaz, M Moetesum, I Siddiqi, G Vessio - Expert Systems with Applications, 2021 - Elsevier
Parkinson's disease (PD) is commonly characterized by several motor symptoms, such as
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …

Dynamically enhanced static handwriting representation for Parkinson's disease detection

M Diaz, MA Ferrer, D Impedovo, G Pirlo… - Pattern Recognition …, 2019 - Elsevier
Computer aided diagnosis systems can provide non-invasive, low-cost tools to support
clinicians. These systems have the potential to assist the diagnosis and monitoring of …

[CARTE][B] Computer vision and recognition systems: research innovations and trends

CL Chowdhary, GT Reddy, BD Parameshachari - 2022 - api.taylorfrancis.com
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …

The promise of convolutional neural networks for the early diagnosis of the Alzheimer's disease

P Erdogmus, AT Kabakus - Engineering Applications of Artificial …, 2023 - Elsevier
Alzheimer's Disease (AD) is one of the most devastating neurologic disorders, if not the
most, as there is no cure for this disease, and its symptoms eventually become severe …

Multiple-fine-tuned convolutional neural networks for Parkinson's disease diagnosis from offline handwriting

M Gazda, M Hireš, P Drotár - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
Existing decision support system frameworks for diagnosing Parkinson's disease (PD)
through handwriting, speech, or gait characteristics share very similar pipelines. Although in …

Leveraging the potential of digital technology for better individualized treatment of Parkinson's disease

H Fröhlich, N Bontridder, D Petrovska-Delacréta… - Frontiers in …, 2022 - frontiersin.org
Recent years have witnessed a strongly increasing interest in digital technology within
medicine (sensor devices, specific smartphone apps) and specifically also neurology …

Machine learning with multimodal neuroimaging data to classify stages of Alzheimer's disease: a systematic review and meta-analysis

M Odusami, R Maskeliūnas, R Damaševičius… - Cognitive …, 2024 - Springer
In recent years, Alzheimer's disease (AD) has been a serious threat to human health.
Researchers and clinicians alike encounter a significant obstacle when trying to accurately …