Continuous Recognition and Visualization of Pen Strokes and Touch-Screen Gestures

Simple item page
dc.contributor.authorKristensson, P.O.en_US
dc.contributor.authorDenby, L.C.en_US
dc.contributor.editorTracy Hammond and Andy Nealenen_US
dc.date.accessioned2013-10-31T10:24:23Z
dc.date.available2013-10-31T10:24:23Z
dc.date.issued2011en_US
dc.description.abstractWe present a technique that enables continuous recognition and visualization of pen strokes and touch-screen gestures. We describe an incremental recognition algorithm that provides probability distributions over template classes as a function of users partial or complete stroke articulations. We show that this algorithm can predictusers intended template classes with high accuracy on several different datasets. We use the algorithm to design two new visualizations that reveal various aspects of the recognition process to users. We then demonstrate how these visualizations can help users to understand how the recognition process interprets their input and how interactions between different template classes affect recognition outcomes.en_US
dc.description.seriesinformationEurographics Workshop on Sketch-Based Interfaces and Modelingen_US
dc.identifier.isbn978-1-4503-0906-6en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttps://doi.org/10.2312/SBM/SBM11/095-102en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.5.5 [Pattern Recognition]: Implementation Interactive systemsen_US
dc.titleContinuous Recognition and Visualization of Pen Strokes and Touch-Screen Gesturesen_US
Files
Collections
SBM11: Sketch Based Interfaces and Modeling 2011