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On the Handwriting Tasks' Analysis to Detect Fatigue

arXiv 2203.14782 ↗First posted 28 Mar 2022cs.LGcited by 1

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Abstract (arXiv)

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. Conclusions: This points out a necessity of more recovering time in sport and professional activities than those measured in classic ways.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 40 references that are in the map. First posted on arXiv 28 Mar 2022.

Builds on

4 of 40 references.

References · 4

  1. 2022Handwriting Biometrics: Applications and Future Trends in e-Security and e-Healthcited by 19
  2. 2022Biometric security technologycited by 6
  3. 2018Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selectioncited by 5
  4. 2022A comparative study of in-air trajectories at short and long distances in online handwritingcited by 5

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