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 presents a literature review on the use of depth for hand tracking and gesture
recognition. The survey examines 37 papers describing depth-based gesture recognition …

Federated Learning (FL) has recently received significant interests thanks to its capability of
protecting data privacy. However, existing FL paradigms yield unsatisfactory performance for …

Abstract We present the Word Mover's Distance (WMD), a novel distance function between
text documents. Our work is based on recent results in word embeddings that learn …

Recent advances in 3D depth cameras such as Microsoft Kinect sensors (www. xbox.
com/en-US/kinect) have created many opportunities for multimedia computing. The Kinect …

The recent introduction of novel acquisition devices like the Leap Motion and the Kinect
allows to obtain a very informative description of the hand pose that can be exploited for …

<? Pub Dtl=""?> The recently developed depth sensors, eg, the Kinect sensor, have
provided new opportunities for human-computer interaction (HCI). Although great progress …

Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

In this paper, a new skeleton-based approach is proposed for 3D hand gesture recognition.
Specifically, we exploit the geometric shape of the hand to extract an effective descriptor …

This paper discusses the development of a natural gesture user interface that tracks and
recognizes in real time hand gestures based on depth data collected by a Kinect sensor …