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On the Analysis of Saturated Pressure to Detect Fatigue

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Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition (IGS 2023)

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Abstract

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.

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Acknowledgements

This work has been funded by a collaboration between the MINECO Spanish grants number PID2020-113242RB-I00 and PID2019-109099RB-C41.

Author information

Authors and Affiliations

  1. Tecnocampus Universitat Pompeu Fabra, Avda. Ernest Lluch 32, 08302, Mataró, Spain

    Marcos Faundez-Zanuy & Josep Lopez-Xarbau

  2. iDeTIC, Universidad de Las Palmas de Gran Canaria, Juan de Quesada, 30, 35001, Las Palmas de Gran Canaria, Spain

    Moises Diaz

  3. DAFNiS Group. Sant Joan de Déu Sant Boi, Doctor Antoni Pujadas, 42, 08830, Sant Boi de Llobregat, Spain

    Manuel Garnacho-Castaño

Authors
  1. Marcos Faundez-Zanuy
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  2. Josep Lopez-Xarbau
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  3. Moises Diaz
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  4. Manuel Garnacho-Castaño
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Corresponding author

Correspondence to Marcos Faundez-Zanuy .

Editor information

Editors and Affiliations

  1. University of Salerno, Fisciano, Italy

    Antonio Parziale

  2. Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Moises Diaz

  3. University of Lisbon, Lisbon, Portugal

    Filipe Melo

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Faundez-Zanuy, M., Lopez-Xarbau, J., Diaz, M., Garnacho-Castaño, M. (2023). On the Analysis of Saturated Pressure to Detect Fatigue. In: Parziale, A., Diaz, M., Melo, F. (eds) Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition. IGS 2023. Lecture Notes in Computer Science, vol 14285. Springer, Cham. https://doi.org/10.1007/978-3-031-45461-5_4

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  • DOI: https://doi.org/10.1007/978-3-031-45461-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-45460-8

  • Online ISBN: 978-3-031-45461-5

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