Hands in motion can be challenging, but they become much easier to draw when you understand gesture, structure, and how movement changes shape. This tutorial focuses on drawing hands in action by ...

Abstract: In skeleton-based gesture recognition tasks, existing approaches based on graph convolutional networks (GCNs) struggle to capture the synergistic actions of nonadjacent graph nodes and the ...

Yo ! This is a advaned version of LED Lamps , this is the gesture one , u can use gestures to contrtol it such as intensity , modes and colours coould be changed . This is specially designed to keep ...

Karen Lander does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

We introduce a large image dataset HaGRIDv2 (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems. You can use it for image classification or image detection tasks.

Abstract: Gesture recognition provides an effective human-computer interaction that makes device control more intuitive and convenient. Although the research on mmWave radar-based gesture recognition ...

When we first land in the Codex environment, it feels like stepping into a co-pilot’s seat for coding. Codex is designed to take over much of the routine or overwhelming parts of software engineering, ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...