Publication
Pattern Recognition
Paper

A trainable gesture recognizer

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Abstract

Gestures are hand-drawn strokes that do things. These things happen at distinctive places on the stroke. We built a gesture input filter and recognizer. The input filter is fast, because it does few computations per input point, because it can omit pre-filter data smoothing, and because wild points caused by hardware glitches are removed at the few output points of the filter, not at the many input points. The recognizer is a novel combination of two traditional techniques; angle filtering and multiscale recognition. Because an angle filter does not produce well-behaved scaled output, the multi-scale treatment had to be unusual. © 1991.

Date

01 Jan 1991

Publication

Pattern Recognition

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