关于举行Masaki Nakagawa教授学术报告会的通知

发布者:燕维英发布时间:2015-12-14浏览次数:457

时间:20151217日上午10:00-12:00

地点:逸夫科学馆励吾科技楼11楼中心会议室

报告题目:Handwriting-based User Interfaces and Handwriting Recognition

报告摘要:

Due to the success of touch-sensitive smart phones and tablets, direct pointing and direct manipulation has finally become common. Moreover, users can write text, draw figures and annotate whatever they like with their fingers or pens on these devices. In this talk, I will present the belief that the ultimate merit of handwriting-based user interfaces is to support human-centered and creative work and describe the research and development that I have been conducting in these 30 years. I will talk how we invented so called “touch scroll” in 1990’s, why and how we made a large database of on-line handwritten patterns and report that our handwriting recognizer has been employed in 90% of smart phones having handwriting input. Then, I will present the latest architecture of handwriting recognition required from user interfaces and applications. Finally, I will present a future application, which is challenging to pattern recognition, human interface and artificial intelligence communities, i.e., automatic scoring of handwritten exams.


特邀讲者:Masaki Nakagawa

He has been working on handwriting recognition, pen-based user interfaces and applications especially educational applications. Since 1980’s, he has been collaborating with many companies. Especially with Hitachi and Fujitsu, his laboratory made handwriting recognizers for real commercial use. He has been continuing handwriting recognition research to improve accuracy, performance and robustness. In 2011, he made a start-up named iLabo, which now sells the best handwriting recognizers for touch-based smart phones, tablets and so on. In 2012, iLabo was selected as one of the 100 most promising ventures in Japan by Nikkei Business. In 1990, he also proposed User Interfaces for tablet devices and showed several educational applications using various sizes of tablets. His U.S. patents to scroll the window in proportion to the pen speed, which is so-called “touch scroll”, were sold from his university to a company by a significant price. It was the highest amount among all the Japanese universities in the fiscal year 2010. He is now employing recent machine learning methods for handwriting recognition, user interfaces and IT education. He is also working on historical document processing to read excavated documents from the Heijo palace in Nara, Japan and to read Chu Nom documents in Vietnam. He is a fellow of IAPR (International Association of Pattern Recognition), IEICE (Institute of Electronics, Information and Communication Engineers, Japan) and IPSJ (Information Processing Society of Japan).



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