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Autori principali: Faundez-Zanuy, Marcos, Lopez-Xarbau, Josep, Diaz, Moises, Garnacho-Castaño, Manuel
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2411.04128
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author Faundez-Zanuy, Marcos
Lopez-Xarbau, Josep
Diaz, Moises
Garnacho-Castaño, Manuel
author_facet Faundez-Zanuy, Marcos
Lopez-Xarbau, Josep
Diaz, Moises
Garnacho-Castaño, Manuel
contents This paper examines the saturation of pressure signals during various handwriting tasks, including drawings, cursive text, capital words text, and signature, under different levels of fatigue. Experimental results demonstrate a significant rise in the proportion of saturated samples following strenuous exercise in tasks performed without resting wrist. The analysis of saturation highlights significant differences when comparing the results to the baseline situation and strenuous fatigue.
format Preprint
id arxiv_https___arxiv_org_abs_2411_04128
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the analysis of saturated pressure to detect fatigue
Faundez-Zanuy, Marcos
Lopez-Xarbau, Josep
Diaz, Moises
Garnacho-Castaño, Manuel
Signal Processing
Machine Learning
This paper examines the saturation of pressure signals during various handwriting tasks, including drawings, cursive text, capital words text, and signature, under different levels of fatigue. Experimental results demonstrate a significant rise in the proportion of saturated samples following strenuous exercise in tasks performed without resting wrist. The analysis of saturation highlights significant differences when comparing the results to the baseline situation and strenuous fatigue.
title On the analysis of saturated pressure to detect fatigue
topic Signal Processing
Machine Learning
url https://arxiv.org/abs/2411.04128