In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …

Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …

Hand gesture recognition (HGR) takes a central role in human–computer interaction,
covering a wide range of applications in the automotive sector, consumer electronics, home …

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 …

We proposed a wearable drone controller with hand gesture recognition and vibrotactile
feedback. The intended hand motions of the user are sensed by an inertial measurement …

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

Hand tracking and gesture recognition are fundamental in a multitude of applications.
Various sensors have been used for this purpose, however, all monocular vision systems …

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 …