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• W1766148144 abstract "The Problem: Pervasive environments, complete with digital whiteboards and pocket PC’s, have increasingly included applications with sketchable interfaces. Sketch recognition applications built for the Oxygen platform include Ligature [4], Tahuti [6], and Assist [1] / Assistance [9]. To date, sketch recognition systems have been domain-specic, with the recognition details of the domain hard-coded into the system. A domain-independent recognition system is advantageous since it may be used for several domains, increasing the exibility and capabilities of a system. However, the system cannot identify the domain shapes if it doesn’t know that they are. In order to properly recognize a sketch of a particular domain, domain-specic information must be supplied to the domain-independent recognition system. Motivation: We propose a domain description language used to describe domain-specic information to a domain-independent sketch recognition system. The language is primarily based on shape to ensure correlation between the drawn shape and the recognized shapes. and to enable designers to draw the shapes as they would naturally. The language is different from other such languages because it can be also be to describe non-shape information, including display information, editing behavior, and drawing order. Previous Work: Shape description languages have been around for a long time [10]. These grammars have been studied widely within the eld or architecture, and many systems are still built using shape grammars [5]. However, they have been developed for design generation rather than recognition, and don’t provide for non-graphical information, such as stroke order, that may be helpful in recognition. Within the eld of sketch recognition, there have been other attempts to create shape languages for sketch recognition. [8] use a language to model and recognize stick gur es. The language currently is not hierarchical, making large objects cumbersome to describe. [3] use fuzzy relational grammars and [2] use BNF grammars to describe shape information. Both lack the ability to describe non-shape domain information such as stroke order or direction and editing behavior information. Approach: The difculties in determining the language’s components and syntax include ensuring that the language allows all common helpful domain information to be specied. The language must also encourage and facilitate the creation of correct programs. For instance, to encourage the reuse of geometric shape denitions, the language distinguishes between geometric shape denitions (shapes usable in many domains) and domain shapes (shapes specic to a domain). The language also provides abstract shape denitions that describe a class of similar shapes to prevent rewriting of identical attributes." @default.
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• W1766148144 date "2002-01-01" @default.
• W1766148144 modified "2023-09-27" @default.
• W1766148144 title "A Domain Description Language for Sketch Recognition" @default.
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