Pen-Based Gesture Recognition in Multimodal Human-Computer Interaction
WANG Yan-jiang
YUAN Bao-zong
Abstract：This paper proposes a fast, one-stroke pen gesture recognition approac h to the studying of multimodal human-computer interaction theory and building method. In the approach, a pen gesture is characterized by a sequence of dominan t points along the gesture trajectory and a sequence of writing directions betwe en consecutive dominant points. The recognition result can be obtained by matchi ng the feature code of the input gesture with the various possible feature codes of each standard gesture. The directional feature is used for gesture pre-class ification and the positional information is used for fine classification. Experi mental results show that this approach is fast and can get a high recognition rate.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 10-13 )