Background With the development of today's technology, and as humans tend to naturally
use hand gestures in their communication process to clarify their intentions, hand gesture …

The dynamic hand skeleton data have become increasingly attractive to widely studied for
the recognition of hand gestures that contain 3D coordinates of hand joints. Many …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

Hand pose estimation from single depth images is an essential topic in computer vision and
human computer interaction. Despite recent advancements in this area promoted by …

In this paper, we introduce a new 3D hand gesture recognition approach based on a deep
learning model. We propose a new Convolutional Neural Network (CNN) where sequences …

Freehand gesture is an essential input modality for modern Augmented Reality (AR) user
experiences. However, developing AR applications with customized hand interactions …

This paper proposes a new neural network based on SPD manifold learning for skeleton-
based hand gesture recognition. Given the stream of hand's joint positions, our approach …

Dynamic hand gesture recognition is a crucial yet challenging task in computer vision. The
key of this task lies in an effective extraction of discriminative spatial and temporal features to …

Researchers have been developing Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …

We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand
gesture recognition. The key idea is to first construct a fully-connected graph from a hand …