Research on Online Writing Stroke Evaluation Method Based on Intelligent Pen

The current Chinese character teaching system not only needs to accurately recognize students' handwritten Chinese characters, but also needs to evaluate and guide their written Chinese characters, that is, evaluate the Chinese characters written by students. Handwritten Chinese character evaluation technology is a hot research topic in recent years, but many previous technologies were based on static images for recognition and evaluation, which cannot provide real-time feedback to students' handwriting. This article evaluates handwritten Chinese characters in real-time from four dimensions: length, slope, position, and pressure, based on the characteristics of Chinese character trajectory data collected by an intelligent pen and combined with an improved FastDTW algorithm. The experimental results show that the method proposed in this article can effectively evaluate Chinese characters not only in terms of stroke quantity and stroke order, but also in terms of overall structure.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10800175
Primary Topic
AI and Multimedia in Education
Type
article
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Research on Online Writing Stroke Evaluation Method Based on Intelligent Pen

Chuanbin Wang, Dejun Chen
AI and Multimedia in Education
article

Research on Online Writing Stroke Evaluation Method Based on Intelligent Pen

Chuanbin Wang, Dejun Chen
article en

Abstract

The current Chinese character teaching system not only needs to accurately recognize students' handwritten Chinese characters, but also needs to evaluate and guide their written Chinese characters, that is, evaluate the Chinese characters written by students. Handwritten Chinese character evaluation technology is a hot research topic in recent years, but many previous technologies were based on static images for recognition and evaluation, which cannot provide real-time feedback to students' handwriting. This article evaluates handwritten Chinese characters in real-time from four dimensions: length, slope, position, and pressure, based on the characteristics of Chinese character trajectory data collected by an intelligent pen and combined with an improved FastDTW algorithm. The experimental results show that the method proposed in this article can effectively evaluate Chinese characters not only in terms of stroke quantity and stroke order, but also in terms of overall structure.

Wuhan University of Technology (CN)
Quality Education
Openalex Percentile: Top 78%
AI and Multimedia in Education
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