@techreport{oai:ipsj.ixsq.nii.ac.jp:00218272,
 author = {Yunyu, Zhou and Tsubasa, Minematsu and Atsushi, Shimada and Yunyu, Zhou and Tsubasa, Minematsu and Atsushi, Shimada},
 issue = {10},
 month = {Jun},
 note = {Student's handwritten notes contain text, formula, graph. In our previous study, we used the U-Net model and post-processing to segment handwritten notes and used the segmentation results to analyze students' learning behavior. In this paper, we use the improved U-Net model to complete page segmentation, and in the case of not using Post Processing, the performance of this model is close to what we have used before, also use the obtained experimental results to analyze the students' learning behavior. On the other hand, the analyze of the mutual promotion effect of the two tasks in the multi-task model is reported., Student's handwritten notes contain text, formula, graph. In our previous study, we used the U-Net model and post-processing to segment handwritten notes and used the segmentation results to analyze students' learning behavior. In this paper, we use the improved U-Net model to complete page segmentation, and in the case of not using Post Processing, the performance of this model is close to what we have used before, also use the obtained experimental results to analyze the students' learning behavior. On the other hand, the analyze of the mutual promotion effect of the two tasks in the multi-task model is reported.},
 title = {Improvement of Page Segmentation Model for Analytics of Handwritten Notes},
 year = {2022}
}