Abstract Graph Convolutional Network (GCN) which models the potential relationship
between non-Euclidean spatial data has attracted researchers' attention in deep learning in …

Dynamic hand gesture recognition is still an interesting topic for the computer vision
community. A set of feature vectors can represent any hand gesture. A Recurrent Neural …

The primary goal of hand gesture recognition with wearables is to facilitate the realization of
gestural user interfaces in mobile and ubiquitous environments. A key challenge in …

Accurately and timely predicting pedestrian crossing intentions in real-time is critical for
operating intelligent vehicles on roads. Although existing models achieve promising …

Skeleton-based hand gesture recognition is a challenging task that sparked a lot of attention
in recent years, especially with the rise of Graph Neural Networks. In this paper, we propose …

In this paper, a lightweighted Intensive Feature Extrication Deep Network (ExtriDeNet) is
proposed for precise hand gesture recognition (HGR). ExtriDeNet primarily consists of two …

The development of automatic application fields enhanced the advancement in Hand
Gesture Recognition (HGR), which enhances human-computer interaction. In particular …

Dynamic hand gesture recognition has evolved as a prominent topic of computer vision
research due to its vast applications in human–computer interaction, robotics, and other …

Human-computer interaction (HCI) has become integral to modern life, especially in digital
environments. However, challenges persist in utilizing hand gestures due to factors such as …

Event camera shows great potential in 3D hand pose estimation, especially addressing the
challenges of fast motion and high dynamic range in a low-power way. However, due to the …