Prototyping of Handwriting Interface for Creativity Support

本研究项目旨在通过手写建立一种创造性的人机交互，基于人们在书写文本、公式、绘制图形等过程中宣传自己的想法。1.创造性手写界面的设计原则在传统的笔式界面中，由于需要对识别结果进行检查和错误识别的纠正，因此寻求忙碌的识别，从而干扰了用户的书写和思考。忙碌的识别打乱了笔迹的优点，因为它促进了创造性思维。提出了一种将识别结果延迟到需要时才显示的懒惰识别方案，作为创造性手写界面的一种原理，并将该原理应用于几个应用，并开发了必要的模式处理和识别技术。文档准备系统的开发基于笔的创造性文档准备环境已开发完成…更多地使用了懒惰的识别方案、信纸隐喻和各种笔式功能。在线手写字符图案库的实验分布为了在个性化的趋势中提高在线字符识别能力，必须从每个人那里收集大量随意的手写笔迹模式。这导致了在没有任何指令的情况下在句子序列中采样的在线手写字符模式的大型数据库的构建。我们收集了80个人x 12,000个字符模式，并将它们提供给贡献者。这是第一个最大尺寸的联机手写字符图案库。其他结果如下：4.笔和鼠标的比较研究。5.快速算法，用于确定不受限制的笔移动围栏内的对象包含。6.具有文具隐喻的笔式绘图界面。7.信纸隐喻的自动调整。8.通过手写和笔界面输入数学公式，便于修改和编辑。9.用假名书写的假名到汉字的翻译。10.笔式界面动画制作。较少

This research project has aimed to establish a creative human computer interaction through handwriting based on the understanding that people promote their ideas while writing text, formulas, drawing figures and so on. The following results have been obtained :1. Design principles of creative handwriting interfacesIn the traditional pen interfaces, busy recognition has been sought which interrupts user's writing and thinking because the check of recognition results and correction of misrecognition are required. Busy recognition upsets the merit of handwriting that it is promotive for creative thinking. We have presented lazy recognition scheme which delays the display of recognition results until needed as a principle of creative handwriting interfaces, applied the principle to several applications and developed necessary pattern processing and recognition techniques.2. Development of a document preparation systemA pen-based creative document preparation environment has been developed … More which employs the lazy recognition scheme, stationery metaphors and various pen-oriented functions.3. Experimental distribution of on-line handwritten charcter pattern databaseIn order to improve on-line character recognition in the trend of personalization, a considerable amount of casually handwritten pen-trace patterns must be collected from each person. This has lead to the construction of a large database of on-line handwritten character patterns sampled in a sequence of sentences without any instructions. We have collected 80 people x 12,000 character patterns, and made them available among contributors. This is the first common database of on-line handwritten character patterns of the largest size.Other results are as follows :4. Comparative study on pen and mouse. 5. Fast algorithms to determine object inclusion within an unrestricted pen movement enclosure. 6. Pen-based drawing interfaces with stationery metaphors. 7. Automatic adjustment of stationery metaphors. 8. Mathematical formula input by handwriting and pen interface for correction and editing. 9. Kana to Kanji translation for writing in Kana. 10. Animation preparation by pen interfaces. Less