The expansion of touch-sensitive technologies, ranging from smartwatches to wall screens,
triggered a wider use of gesture-based user interfaces and encouraged researchers to …

We introduce Q,asuper-quick,articulation-invariantpoint-cloudstroke-
gesturerecognizerformobile,wearable,andembeddeddeviceswithlowcomputingres…. Q ran …

Nearest neighbor classifiers recognize stroke gestures by computing a (dis) similarity
between a candidate gesture and a training set based on points, which may require …

Training gesture recognizers with synthetic data generated from real gestures is a well
known and powerful technique that can significantly improve recognition accuracy. In this …

In this article, we present PolyRec Gesture Design Tool (PolyRec gdt), a tool that allows the
definition of gesture sets for mobile applications. It supports the entire process of designing …

We address in this work interactive gestures as a distinct type of knowledge that users
acquire and employ when interacting in smart environments. We characterize the problem of …

Gesture recognition systems using nearest neighbor pattern matching are able to distinguish
gesture from non-gesture actions by rejecting input whose recognition scores are poor …

In this paper, we introduce DG3, an end-to-end method for exploiting gesture interaction in
user interfaces. The method allows to declaratively model stroke gestures and their sub …

Euclidean distance is traditionally used to compare a gesture candidate against gesture
templates in two-dimensional gesture recognizers. This paper compares two distances …

This note discusses how to build a real-time recognizer for stroke gestures based on Long
Short Term Memory Recurrent Neural Networks. The recognizer provides both the gesture …