Prototyping of Handwriting Interface for Creativity Support

本研究的目的是建立一个创造性的人机交互，通过手写的理解，人们促进他们的想法，同时写文字，公式，绘图等。创造性手写界面的设计原则在传统的笔式界面中，由于需要检查识别结果和纠正误识别，因此一直在寻求中断用户书写和思考的忙碌识别。忙碌识别的繁忙打乱了手写体的优点，它是促进创造性思维。我们提出了延迟识别结果显示直到需要的延迟识别方案，作为创意手写界面的原则，将该原则应用于多个应用程序，并开发了必要的模式处理和识别技术。2.文档准备系统的开发一个基于笔的创造性文档准备环境已经开发出来 ...更多信息 它采用了懒惰的识别方案，文具隐喻和各种面向笔的功能。联机手写字符模式库的实验分布在个性化趋势下，为了提高联机字符识别率，必须从每个人身上收集大量的随意手写笔迹模式。这导致了一个大型数据库的建设在线手写字符模式采样的句子序列，没有任何指示。我们已经收集了80个人x12，000个字符模式，并在贡献者中提供。这是第一个最大规模的联机手写字符模式公共数据库。笔和小鼠的比较研究。5.快速算法可确定不受限制的笔移动范围内是否包含对象。6.基于笔的绘图界面与文具隐喻。7.自动调整文具隐喻。8.数学公式手写输入，笔式界面，便于修改和编辑。9.假名到汉字的翻译，用于用假名写作。10.通过笔接口进行动画制作。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