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Open AccessArticle

On the Handwriting Tasks’ Analysis to Detect Fatigue

Escola Superior Ciencies de la Salut, Tecnocampus, 08302 Mataró, Spain
Escola Superior Politecnica, Tecnocampus, Avda. Ernest Lluch 32, 08302 Mataro, Spain
Author to whom correspondence should be addressed.
Received: 7 September 2020 / Revised: 23 October 2020 / Accepted: 26 October 2020 / Published: 29 October 2020
Practical determination of physical recovery after intense exercise is a challenging topic that must include mechanical aspects as well as cognitive ones because most of physical sport activities, as well as professional activities (including brain–computer interface-operated systems), require good shape in both of them. This paper presents a new online handwritten database of 20 healthy subjects. The main goal was to study the influence of several physical exercise stimuli in different handwritten tasks and to evaluate the recovery after strenuous exercise. To this aim, they performed different handwritten tasks before and after physical exercise as well as other measurements such as metabolic and mechanical fatigue assessment. Experimental results showed that although a fast mechanical recovery happens and can be measured by lactate concentrations and mechanical fatigue, this is not the case when cognitive effort is required. Handwriting analysis revealed that statistical differences exist on handwriting performance even after lactate concentration and mechanical assessment recovery. This points out a necessity of more recovering time in sport and professional activities than those measured in classic ways. View Full-Text
Keywords: online handwritten; physical exercise; metabolic fatigue; mechanical fatigue online handwritten; physical exercise; metabolic fatigue; mechanical fatigue
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MDPI and ACS Style

Garnacho-Castaño, M.-V.; Faundez-Zanuy, M.; Lopez-Xarbau, J. On the Handwriting Tasks’ Analysis to Detect Fatigue. Appl. Sci. 2020, 10, 7630.

AMA Style

Garnacho-Castaño M-V, Faundez-Zanuy M, Lopez-Xarbau J. On the Handwriting Tasks’ Analysis to Detect Fatigue. Applied Sciences. 2020; 10(21):7630.

Chicago/Turabian Style

Garnacho-Castaño, Manuel-Vicente; Faundez-Zanuy, Marcos; Lopez-Xarbau, Josep. 2020. "On the Handwriting Tasks’ Analysis to Detect Fatigue" Appl. Sci. 10, no. 21: 7630.

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