Sketch-based interaction enables users' simple communication and it is used to represent concepts and commands in humancomputer interaction. This communication approach can be used in different contexts with different devices. The ink style through which the user performs a sketch is a critical component in the recognition and interpretation processes. In particular, the different users' styles adopted to perform the sketch can introduce over-tracing and/or cross-hatching phenomena that are respectively represented in the sketch like bold style or dashed style. The paper provides an approach to recognize the different ink styles performed by a user during his/her sketch activity. More specifically an approach to recognize both a single stroke style and the whole sketch style is presented. Copyright © (2007) by Knowledge Systems Institute (KSI).
Sketch Style Recognition in Human Computer Interaction / Avola, Danilo; Ferri, Fernando; Grifoni, Patrizia. - (2007), pp. 670-675. (Intervento presentato al convegno 19th International Conference on Software Engineering and Knowledge Engineering, SEKE 2007 tenutosi a Boston, MA, usa).
Sketch Style Recognition in Human Computer Interaction
Avola, DaniloPrimo
;
2007
Abstract
Sketch-based interaction enables users' simple communication and it is used to represent concepts and commands in humancomputer interaction. This communication approach can be used in different contexts with different devices. The ink style through which the user performs a sketch is a critical component in the recognition and interpretation processes. In particular, the different users' styles adopted to perform the sketch can introduce over-tracing and/or cross-hatching phenomena that are respectively represented in the sketch like bold style or dashed style. The paper provides an approach to recognize the different ink styles performed by a user during his/her sketch activity. More specifically an approach to recognize both a single stroke style and the whole sketch style is presented. Copyright © (2007) by Knowledge Systems Institute (KSI).File | Dimensione | Formato | |
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Avola_Sketch-Style-Recognition_2007.pdf
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