Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …

Transformer-based neural networks represent a successful self-attention mechanism that
achieves state-of-the-art results in language understanding and sequence modeling …

The increasing integration of technology in our daily lives demands the development of
more convenient human–computer interaction (HCI) methods. Most of the current hand …

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 …

Automatic hand gesture recognition in video sequences has widespread applications,
ranging from home automation to sign language interpretation and clinical operations. The …

Driver distraction behavior recognition is currently a significant study area that involves
analyzing and identifying various movements, actions, and patterns exhibited by drivers …

Gesture recognition is an important direction in computer vision research. Information from
the hands is crucial in this task. However, current methods consistently achieve attention on …

The recent spread of low-cost and high-quality RGB-D and infrared sensors has supported
the development of Natural User Interfaces (NUIs) in which the interaction is carried without …

Transformer models have achieved state-of-the-art results in many applications like NLP
classification etc. But their exploration in gesture recognition task is still limited. So we …

Dynamic gesture recognition is one of the challenging research areas due to variations in
pose, size, and shape of the signer's hand. In this letter, Multiscaled Multi-Head Attention …