Filtered Random Hybrid Strokes (Frhs): Filtering Time-Series Considerding Velocity Profile

Stefania Bello, Alessia Monaco, Luca Musti, Giuseppe Pirlo, Gianfranco Semeraro, Gianfranco Semeraro

2024

Abstract

This paper proposes an improvement to the data augmentation technique, Random Hybrid Stroke (RHS), widely used in handwriting analysis for the early detection of dementia. This improvement involves the appli- cation of a filtering method to handwriting time series, redefining the concept of a ’stroke’ based on insights derived from kinematic theory. Specifically, a trait is considered as the segment joining successive local mini- mum and local maximum points with respect to the lognormal velocity profile. Experimental evaluations were conducted using a dataset consisting of 23 different writing tasks (Mini-COG, MMSE, etc.) for the early de- tection of dementia using K-Fold cross-validation with K set to 10. The proposed improvement demonstrates promising results, showing an increase in performance over a wide range of writing tasks and representing a significant contribution, in particular, for the Mini-COG, MMSE and Trail Matrix Tests.

Paper Citation

in Harvard Style

Bello S., Monaco A., Musti L., Pirlo G. and Semeraro G. (2024). Filtered Random Hybrid Strokes (Frhs): Filtering Time-Series Considerding Velocity Profile. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI; ISBN 978-989-758-684-2, SciTePress, pages 961-968. DOI: 10.5220/0012567500003654

in Bibtex Style

@conference{neroprai24,
author={Stefania Bello and Alessia Monaco and Luca Musti and Giuseppe Pirlo and Gianfranco Semeraro},
title={Filtered Random Hybrid Strokes (Frhs): Filtering Time-Series Considerding Velocity Profile},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI},
year={2024},
pages={961-968},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012567500003654},
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 - Filtered Random Hybrid Strokes (Frhs): Filtering Time-Series Considerding Velocity Profile
SN - 978-989-758-684-2
AU - Bello S.
AU - Monaco A.
AU - Musti L.
AU - Pirlo G.
AU - Semeraro G.
PY - 2024
SP - 961
EP - 968
DO - 10.5220/0012567500003654
PB - SciTePress