通过分析压力信号饱和度，可有效检测手写时的疲劳程度。
On the analysis of saturated pressure to detect fatigue
- 采集不同手写任务中的压力信号，统计饱和样本比例。
- 剧烈运动后无休息手写时，饱和样本比例显著上升。
- 适合用于人机交互中疲劳监测，尤其在连续手写场景。
本文研究了在不同疲劳水平下，完成绘画、连笔文字、大写字母文字及签名等手写任务时，压力信号的饱和情况。实验结果表明，在无手腕休息的情况下，经过剧烈运动后，各项任务中饱和样本的比例显著增加。通过对饱和度的分析，发现其与基线状态和重度疲劳状态存在显著差异，为利用压力信号检测疲劳提供了有效依据。
原文摘要 · Abstract (English)
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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