Potential Dysgraphia Handwriting Dataset of School-Age Children
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Dysgraphia is characterized as a learning disability in which a person lacks writing skills that are expected for his or her age and cognitive level. Despite this, phrases such as handwriting difficulties or delayed writing performance in children are used to indicate dysgraphia. It has an effect on both the handwriting product (legibility of the written trace) and the writing process (movement that generates the trace). The dysgraphia dataset is an image-shaped dataset that contains images of children's writings that may be dysgraphia-related. These datasets were gathered through data collection techniques carried out by primary school students and children undertaking interventions at the Malaysian Dyslexia Association (PDM). Two PDM authorities then evaluated the dataset to determine whether the handwriting had potential dysgraphia or low potential dysgraphia. This dataset is used to determine the risk of dysgraphia in children. Machine learning techniques can be used to implement this data. This dataset has two types of dysgraphia levels: potential dysgraphia and low potential dysgraphia. Through the geometric characteristics and features of the writing in the image, this dataset could potentially be utilized to determine the presence of dysgraphia symptoms.
书写障碍（Dysgraphia）是一种学习障碍，指个体缺失与其年龄及认知水平相符的书写能力。尽管如此，人们常以“儿童书写困难”或“书写表现发育迟缓”等表述指代书写障碍。该障碍同时影响书写成品（笔迹清晰度）与书写过程（笔迹生成的动作）。本次收录的书写障碍数据集为图像型数据集，包含可能与书写障碍相关的儿童笔迹图像。该数据集由马来西亚诵读困难协会（Malaysian Dyslexia Association, PDM）内的小学生及接受干预的儿童通过数据采集流程收集所得。随后两名马来西亚诵读困难协会（PDM）的专业人员对该数据集进行标注，以判定笔迹属于疑似书写障碍或低疑似书写障碍。本数据集可用于评估儿童的书写障碍患病风险，可结合机器学习技术基于该数据集开展相关研究。该数据集包含两类书写障碍疑似程度标签：疑似书写障碍与低疑似书写障碍。通过提取图像中笔迹的几何特征与书写特征，本数据集可用于识别书写障碍相关症状。
