Most of the recently proposed text entry methods for touch screen devices are stroke-based: the traditional tapping interaction is being replaced with a more natural gesture, performed through a pointer (pen or finger) on a soft keyboard. These methods need an effective technique to interpret user strokes, in order to correctly obtain the text the user intends to enter. KeyScretch is a recent text entry method based on menu-augmented soft keyboards. The method introduces a new way of interacting with radial menus through compound strokes. In this paper we present the technology used for recognizing these strokes. In particular, the design of different recognizers is presented and their performances are compared. The evaluation shows that geometric stroke recognition techniques, associated to other calibrations, can significantly improve the accuracy achievable using a simple target-based method.
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