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Effect of Visual Feedback on the Static and Kinematic Characteristics of Handwriting

机译:视觉反馈对手写静态和运动学特性的影响

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Research on visual feedback has not produced consistent results to show how visual feedback or the lack, thereof, influences individual handwriting characteristics. A two-pronged approach was designed to investigate the degree of this influence. For this purpose, samples of signatures as well as cursive and block text, written with and without visual feedback, were collected from 40 volunteers and imported into a PC via a pen tablet, using an electronic inking pen. The data was analyzed in a handwriting movement analysis software module specially designed for this research that was added to the software MovAlyzeR by Neuroscript LLC. Two forensic document examiners (FDEs) independently analyzed samples from the two groups (samples executed with normal visual feedback versus the group of samples executed without visual feedback). They found no fundamental differences between these two groups. Their analyses also demonstrated that a large number of similarities existed in the general design of the allographs (alternative forms of a letter or other grapheme) and in the pictorial aspects, regardless of the complexity of the samples. In the cursive and block handwriting, four main qualitative characteristics were linked to the absence of visual feedback: change of overall size, non-uniformity of left margins, change of baseline alignment, and inclusion of extra trajectories. The statistical analysis verified the above findings. The comparative analysis also suggests that gender, educational level (above high school) and handedness create an insignificant influence on the individual characteristics of writing produced with and without visual feedback. The only notable exception is the relationship between signature duration and educational level. The volunteers with a medium education level showed a significant increase in duration while signing their names without visual feedback in comparison to those with higher education levels. The combination of the above findings suggests that handwriting is not fundamentally influenced by visual feedback.
机译:关于视觉反馈的研究尚未产生一致的结果来表明视觉反馈或缺乏视觉反馈如何影响个人笔迹特征。设计了两种方法来调查这种影响的程度。为此,从40名志愿者那里收集了带有和不带有视觉反馈的签名,草书和块状文本的样本,并使用电子墨水笔通过数位板将其输入到PC中。在为这项研究专门设计的手写运动分析软件模块中对数据进行了分析,该模块已由Neuroscript LLC添加到软件MovAlyzeR中。两名法医证件检查员(FDE)独立分析了两组样本(使用正常视觉反馈执行的样本与没有视觉反馈执行的样本组)。他们发现这两组之间没有根本区别。他们的分析还表明,无论样本的复杂性如何,在同形异象的总体设计(字母或其他字形的替代形式)和图形方面都存在大量相似之处。在草书和块体笔迹中,四个主要的定性特征与缺少视觉反馈有关:整体大小的变化,左边界的不均匀性,基线对齐的变化以及包含额外的轨迹。统计分析证实了上述发现。比较分析还表明,性别,文化程度(高中以上)和惯用手法对带有或不带有视觉反馈的写作的个人特征影响不大。唯一值得注意的例外是签名持续时间与学历之间的关系。与具有较高教育水平的志愿者相比,具有中等教育水平的志愿者在签名时没有视觉反馈,其持续时间显着增加。以上发现的结合表明,笔迹从根本上不受视觉反馈的影响。

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