M. Liwicki, Oleg Rostanin, Saher Mohamed El-Neklawy, A. Dengel
{"title":"Touch & Write: a multi-touch table with pen-input","authors":"M. Liwicki, Oleg Rostanin, Saher Mohamed El-Neklawy, A. Dengel","doi":"10.1145/1815330.1815392","DOIUrl":null,"url":null,"abstract":"In this paper we present a novel rear-projection tabletop called Touch & Write. It combines the FTIR technology for touching with the Anoto-technology for handwriting. This allows an implicit switch between the modes object manipulation, and content editing. Our system incorporates real-time gesture and handwriting recognition. Drawn objects and written concepts can be converted to digital information immediately. We introduce a functional application, the LeCoOnt concept mapping software makes use of the full capability of the Touch & Write table. Touching actions are used for arranging the concepts like sheets on a normal table, and to recognizes guestures like zooming. Pen-actions are used for drawing, connecting concepts, and handwriting. The handwritten strokes are automatically recognized and converted into a machine-readable string. This system provides a reliable alternative to common approaches which try to reconstruct the information from photographs.","PeriodicalId":111374,"journal":{"name":"International Workshop on Document Analysis Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Document Analysis Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1815330.1815392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
In this paper we present a novel rear-projection tabletop called Touch & Write. It combines the FTIR technology for touching with the Anoto-technology for handwriting. This allows an implicit switch between the modes object manipulation, and content editing. Our system incorporates real-time gesture and handwriting recognition. Drawn objects and written concepts can be converted to digital information immediately. We introduce a functional application, the LeCoOnt concept mapping software makes use of the full capability of the Touch & Write table. Touching actions are used for arranging the concepts like sheets on a normal table, and to recognizes guestures like zooming. Pen-actions are used for drawing, connecting concepts, and handwriting. The handwritten strokes are automatically recognized and converted into a machine-readable string. This system provides a reliable alternative to common approaches which try to reconstruct the information from photographs.