General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 15. Nov. 2021 Multimedia Tools and Applications manuscript No.
With the emergence of digital pen and paper technologies, we have witnessed an increasing number of enhanced paperdigital notetaking solutions. However, the natural notetaking process includes a variety of individual work practices that complicate the automatic processing of paper notes and require user intervention for the classification of digital ink data. We present an extensible digital ink processing framework that simplifies the classification of digital ink data in natural notetaking applications. Our solution deals with the manual as well as automatic ink data segmentation and classification based on Delaunay triangulation and a strongest link algorithm. We further highlight how our solution can be extended with new digital ink classifiers and describe a paper-digital reminder application that has been realised based on the presented digital ink processing framework.
General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
We present ARENO, a system that captures reminders handwritten on paper and displays them as ambient information to aid reminding as well as integrating them into desktop tools that manage notes and todo lists. The system is extensible, supporting alternative views of the notes according to user preferences and allowing different views to run in parallel to support different styles of interaction. At the same time, alternative paper interfaces could be used to provide different ways of capturing notes from paper as well as entering them digitally. We report on a study where the system was configured to offer an ambient display alongside two more traditional reminder tools that showed that ambient displays are particularly well suited to notes without specific deadlines.
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