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 examine gestures performed with a class of input devices with distinctive quality
properties in the wearables landscape, which we call “index-Finger Augmentation …

We present empirical results about users' gesture preferences for smart rings by analyzing
672 gestures from 24 participants. We report an overall low consensus (mean. 112 …

Browsing multimedia objects, such as photos, videos, documents, and maps represents a
frequent activity in a context of use where an end-user interacts on a large vertical display …

Arm-and-hand tracking by technological means allows gathering data that can be
elaborated for determining gesture meaning. To this aim, machine learning (ML) algorithms …

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

Despite the tremendous progress made for recognizing gestures acquired by various
devices, such as the Leap Motion Controller, developing a gestural user interface based on …

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 …

Many interactive devices and systems, from smartphones and tablets to smart wearables,
video game consoles, ambient displays and interactive surfaces to systems rendering virtual …

We examine the articulation characteristics of stroke-gestures produced by people with
upper body motor impairments on touchscreens as well as the accuracy rates of popular …