Study on a system for adding a new utility value on Kana calligraphy images

我研究了两个课题，（1）假名书法图像数据库的创建和（2）从假名书法图像预测情绪和身体状况的系统的构建。对于（1），在8个月内每周收集一次5名受试者的假名书法图像和关于情绪和身体状况的调查回答。对于（2），使用具有多项式核的支持向量机从假名书法图像中预测情绪和身体状况。 结果发现，特别是对体温和眼疲劳，平均精度较高。

I studied two topics, (1) creation of a Kana calligraphy image database and (2) construction of a system for predicting the mood and physical conditions from Kana calligraphy images. For (1), Kana calligraphy images and survey responses on the mood and physical conditions by 5 subjects were collected once a week over 8 months. For (2), support vector machines with polynomial kernels were used to predict the mood and physical conditions from the Kana calligraphy images. It was found that especially for the body temperature and the eye strains, the average precisions were relatively high.