Evaluation of writing motion using principal component analysis and scaling analysis
Evaluation of writing motion using principal component analysis and scaling analysis
复制标题
使用主成分分析和标度分析评估书写动作
DOI：
10.1007/s10015-022-00836-w
复制
发表时间：
2023
影响因子：
0.9
通讯作者：
Uchida Masafumi
中科院分区：
文献类型：
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作者：
Hayashi Kotaro;Uchida Masafumi
自主运动的控制是由认知控制和身体控制组成的双重结构;认知控制与身体控制不同，需要注意力资源。通过结合认知和身体控制，可以进行各种自主运动。依赖于注意力资源的身体运动是使用认知控制来执行的;这些运动随着白色噪声而波动，并且随着对注意力资源的依赖性降低，它们的波动逐渐变为1/f波动。文字是手写过程中的随意运动。本研究旨在探讨重复性书写作业与分配给该作业的注意资源之间的关系，发现分配给书写作业的注意资源取决于作业的难度。此外，手写任务的难度取决于手写字符形状的复杂性，而笔画数是其中一个指标。因此，我们专注于三个汉字与不同的笔画数。注意资源可以通过敲击动作与书写动作同时进行并比较结果来识别。以25名熟悉汉字的被试为研究对象，对汉字的三个汉字分别进行为期6天的实验。我们调查了波动的六个时间内定义的每个汉字字符的手写过程中的手写元素。在分析中，六维的时间笔迹元素减少到三个维度，使用主成分分析。此外，对三维主成分进行了去趋势波动分析。在这项研究中，我们研究了主成分分析的多维数据分析的有效性。此外，我们讨论了书写任务的难度和时间的笔迹元素使用局部尺度指数的基础上去趋势波动分析的关系。
The control of voluntary movements is a dual structure consisting of cognitive and physical controls; cognitive control, unlike physical control requires attentional resources. Various voluntary movements can be performed by combining cognitive and physical controls. Body movements depending on attentional resources are performed using cognitive control; these movements fluctuate with white noise and their fluctuations gradually change to one-over-f fluctuation as the dependence on attentional resources decreases. Characters are handwriting processes in voluntary movement. This study focused on the relationship between a repetitive handwriting process and attentional resources allocated to it. The attention resources allocated to handwriting processes depend on how challenging the task is. Moreover, the difficulty of a handwriting task is determined by the complexity of the shape of the handwritten characters, and the stroke counts are one indicator of this. Therefore, we focused on three Chinese kanji characters with different stroke counts. Attentional resources can be identified by tapping movements concurrently with writing movements and comparing the result. An experiment was conducted for 6 days for each of the three Chinese kanji characters, with 25 subjects who were familiar with the Chinese kanji character. We investigated fluctuations in the six temporal handwriting elements defined within each Chinese kanji character handwriting process. In the analysis, six-dimensional temporal handwriting elements were reduced to three dimensions using principal component analysis. Furthermore, detrended fluctuation analysis was applied to the three-dimensional principal components. In this study, we examine the effectiveness of principal component analysis for the analysis of multidimensional data. Furthermore, we discussed the relationship between handwriting task difficulties and temporal handwriting elements using local scaling indices based on detrended fluctuation analysis.
DOI：
--
发表时间：
2003
期刊：
影响因子：
--
作者：
T. Komatsu;Y. Miyake
通讯作者：
Y. Miyake
影响因子：
38.9
作者：
Y. Miyake;Y. Onishi;E. Pöppel
通讯作者：
E. Pöppel
DOI：
10.9746/sicetr1965.41.518
发表时间：
2005
期刊：
Journal of the Society of Instrument and Control Engineers
影响因子：
--
作者：
T. Komatsu;Y. Miyake
通讯作者：
Y. Miyake