Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases

Giacomo Cuccovillo, Donato Impedovo, Alessia Monaco, Giuseppe Pirlo, Gianfranco Semeraro, Davide Veneto

2024

Abstract

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. According to evidence, a therapeutic approach in the pre-clinical stages involves conducting screening tests to identify changes in the handwriting process. This paper aims to propose an E-Health app named Handwriting Detection Test (HWDT). The proposed app is a smart-screening solution that reduces time and waiting periods in the interaction between experts and patients. We implemented screening tests derived from recent advances or ongoing research. The paper highlights the significant role of handwriting behavior and explains the design and development phases of the proposed system. This approach offers a more efficient and technologically advanced method for early detection and monitoring of cognitive changes associated with neurodegenerative impairments.

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Paper Citation


in Harvard Style

Cuccovillo G., Impedovo D., Monaco A., Pirlo G., Semeraro G. and Veneto D. (2024). Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI; ISBN 978-989-758-684-2, SciTePress, pages 985-994. DOI: 10.5220/0012593600003654


in Bibtex Style

@conference{neroprai24,
author={Giacomo Cuccovillo and Donato Impedovo and Alessia Monaco and Giuseppe Pirlo and Gianfranco Semeraro and Davide Veneto},
title={Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI},
year={2024},
pages={985-994},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012593600003654},
isbn={978-989-758-684-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI
TI - Handwriting Detection Test (HWDT): Android Application for the Recognition of Neurodegenerative Diseases
SN - 978-989-758-684-2
AU - Cuccovillo G.
AU - Impedovo D.
AU - Monaco A.
AU - Pirlo G.
AU - Semeraro G.
AU - Veneto D.
PY - 2024
SP - 985
EP - 994
DO - 10.5220/0012593600003654
PB - SciTePress