Hand gesture plays an important role in communication among the hearing and speech
disorders people. Hand gesture recognition (HGR) is the backbone of human–computer …

For hand gesture recognition, recurrent neural networks and 3D convolutional neural
networks are the most commonly used methods for learning the spatial–temporal features of …

Vision-based hand gesture recognition (HGR) system provides the most effective and
natural way of interaction between humans and machines. However, the recognition …

Hand gesture recognition (HGR) serves as a fundamental way of communication and
interaction for human being. While HGR can be applied in human computer interaction (HCI) …

Abstract Hand Gesture Recognition (HGR) is widely used in human–computer interaction
due to its convenience. However, there are still some challenges in real-world scenarios …

Hand gestures are the nonverbal communication done by individuals who cannot represent
their thoughts in form of words. It is mainly used during human‐computer interaction (HCI) …

Abstract Hand Gesture Recognition (HGR) is a challenging computer vision task. Recently,
by taking advantages of deep learning-based models, HGR methods have achieved …

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

Hand gesture recognition from images is a longstanding computer vision task that can be
used to build a potential bridge for human-computer interaction and sign language …

Gesture recognition technology is rapidly growing in the recent years due to the demands of
many application such as computer game and sport, human robot interaction, assistant …