基于触控笔书写轨迹的学习能力动态评估方法及系统
By constructing writing behavior clusters and median vectors to generate standard sequences, and combining Euclidean distance and rhythm ratio analysis, the problems of inaccurate assessment of unqualified trajectories and abnormal rhythms in existing technologies are solved, and a more accurate assessment of learning ability is achieved.
CN122045902BActive Publication Date: 2026-07-17北京爱宾果科技有限公司
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 北京爱宾果科技有限公司
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-17
Smart Images
Figure CN122045902B_ABST
Abstract
本发明公开了基于触控笔书写轨迹的学习能力动态评估方法及系统，所述方法包括：选取N个具有对象ID的样本对象；构建N个书写行为序列；编码N个序列表示向量；将N个序列表示向量进行无监督聚类；确定目标对象的最相似行为簇；提取最相似行为簇的标准书写行为序列，并计算其与真实书写行为序列之间的序列偏差；若序列偏差大于第一阈值，则判定目标对象的书写轨迹不合格；否则，提取目标对象的书写节奏比进行学习异常标签评估；本发明的标准序列更能代表簇优秀学生的稳定行为模式，且序列偏差能更准确地反映目标对象与正常行为的偏离程度，避免因标准失真导致的误判，提升了学习能力的评估有效性。
Need to check novelty before this filing date? Find Prior Art