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

假名书法图像附加新实用价值系统的研究

• 批准号: 23650091
• 负责人: MATSUI Tomoko
• 金额: $ 2.33万
• 依托单位: The Institute of Statistical Mathematics
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Challenging Exploratory Research
• 财政年份: 2011
• 资助国家: 日本
• 起止时间: 2011 至 2013
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23650091/
• 关键词: 機械学習; サポートベクターマシン; かな書データ; 体調判定; 統計科学; かな書

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.

我研究了两个主题，(1)创建假名书法图像数据库和(2)构建一个从假名书法图像预测情绪和身体状况的系统。(1)在8个月的时间里，每周收集5名被试的假名书法图像和对情绪和身体状况的调查反馈。对于(2)，使用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。