A Feature-Based Algorithm for Recognizing Gestures on Portable Computers

Cho, Mi Gyung; Oh, Am Sok; Lee, Byung Kwan

doi:10.1007/978-3-540-24707-4_5

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2011

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“…Rather complicated methods use dynamic programming (Myers & Rabiner, 1981) (Tappert, 1982) or hidden Markov models (Anderson, Bailey, & Skubic, 2004) (Cao & Balakrishnan, 2005) (Sezgin & Davis, 2005). Probably the most cited works are based on statistical feature classification (Cho, Oh, & Lee, 2004) (Cho, 2006), with the best known being (Rubine, 1991).…”

Section: Methodsmentioning

confidence: 99%

Right Mouse Button Surrogate on Touch Screens

2011

Proceedings of the 13th International Conference on Enterprise Information Systems

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The pervasiveness of computer systems is largely determined by their ease of use. Touch screens have proven to be a natural interface with a strong sensorimotor feedback. Although multi-touch technologies are ever more popular, single-touch screens are still often preferred. They are cheaper and they map directly to pointing devices such as computer mice, thus requiring no software modifications. Therefore, they can easily be integrated into existing systems with WIMP interfaces, e.g. MS Windows based systems. Applications in such systems often rely on user pressing the right mouse button to open context menus etc. Since single-touch screens register only one touch at a time, different methods are being used to allow a user to determine the outcome of the touch. The paper proposes a new interaction scheme for this purpose and an algorithm to detect it.

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Section: Methodsmentioning

confidence: 99%

Right Mouse Button Surrogate on Touch Screens

2011

Proceedings of the 13th International Conference on Enterprise Information Systems

View full text Add to dashboard Cite

show abstract

A Feature-Based Algorithm for Recognizing Gestures on Portable Computers

Cited by 1 publication

References 8 publications

Right Mouse Button Surrogate on Touch Screens

Right Mouse Button Surrogate on Touch Screens

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