[PDF][PDF] Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases.

GFP Cuccovillo, D Impedovo, A Monaco, G Pirlo… - ICPRAM, 2024 - scitepress.org
Nowadays there is an increase in the global incidence of dementia, with over 55 million
reported cases worldwide. In Italy, the number is estimated to exceed 1 million individuals …

A Transfer Learning Approach with MobileNetV2 for Parkinson's Disease Detection using Hand-Drawings

BA Kumar, M Bansal - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Parkinson's disease is a condition that affects common human movements because of the
brain's failing neurons. The primary cause of this disease is a deficiency of dopamine in the …

[PDF][PDF] An Enhanced Hybrid Model Based on CNN and BiLSTM for Identifying Individuals via Handwriting Analysis.

MA Rahim, FA Farid, A SalehMusaMiah… - … in Engineering & …, 2024 - cdn.techscience.cn
Handwriting is a unique and significant human feature that distinguishes them from one
another. There are many researchers have endeavored to develop writing recognition …

[PDF][PDF] Offline Author Identification using Non-Congruent Handwriting Data Based on Deep Convolutional Neural Network.

LIU Ying, G Meng, N ZHANG - International Journal of Advanced …, 2024 - saiconference.com
This investigation presents a novel technique for offline author identification using
handwriting samples across diverse experimental conditions, addressing the intricacies of …

The cognitive mechanism and neural basis of written production in aging

Y LIU, W HE - Advances in Psychological Science, 2024 - journal.psych.ac.cn
Writing is a complex perceptual-motor process that involves both central cognitive coding
and peripheral motor execution. It requires a lot of cognitive resources and is therefore …

Evaluación automática de la enfermedad de Parkinson a partir de señales de escritura online considerando arquitecturas de aprendizaje profundo como las CNNs

JC Zapata Ortiz - 2023 - bibliotecadigital.udea.edu.co
La enfermedad de Parkinson es una enfermedad neurodegenerativa caracterizada por la
aparición de diversos trastornos cognitivos y motores, provocados por la degeneración de …

Fractal Dimensions and Machine Learning for Detection of Parkinson's Disease in Resting-State EEG

U Lal, AV Chikkankod, L Longo - 2023 - researchsquare.com
Parkinson's Disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …

An Efficient Neural Network for the Diagnosis of Parkinson's Disease Using Dynamic Handwriting Analysis

X Wang, S Nõmm, J Huang, M Chatzakou… - … Workshop on Classical …, 2023 - Springer
Dynamic handwriting analysis of patients has become an important auxiliary method for the
early diagnosis and treatment of Parkinson's disease. In this paper, a novel and efficient …

[PDF][PDF] A Harmonic Approach to Handwriting Style Synthesis Using Deep Learning

MA Tusher, SC Kongara, SD Pande, SK Kim… - researchgate.net
The challenging task of handwriting style synthesis requires capturing the individuality and
diversity of human handwriting. The majority of currently available methods use either a …