Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …

This paper surveys the state of the art on multimodal gesture recognition and introduces the
JMLR special topic on gesture recognition 2011–2015. We began right at the start of the …

Gesture is a natural interface in human-computer interaction, especially interacting with
wearable devices, such as VR/AR helmet and glasses. However, in the gesture recognition …

Gesture recognition aims to recognize meaningful movements of human bodies, and is of
utmost importance in intelligent human-computer/robot interactions. In this paper, we …

This paper proposes three simple, compact yet effective representations of depth
sequences, referred to respectively as dynamic depth images (DDI), dynamic depth normal …

One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …

Availability of handy RGB-D sensors has brought about a surge of gesture recognition
research and applications. Among various approaches, one shot learning approach is …

With the advancement of data acquisition techniques, tensor (multidimensional data) objects
are increasingly accumulated and generated, for example, multichannel …

This paper proposes a novel multi-layered gesture recognition method with Kinect. We
explore the essential linguistic characters of gestures: the components concurrent character …

For one-shot learning gesture recognition, two important challenges are: how to extract
distinctive features and how to learn a discriminative model from only one training sample …