It is an objective reality that deaf-mute people have difficulty seeking medical treatment. Due
to the lack of sign language interpreters, most hospitals in China currently do not have the …

Abstract Children with Autism Spectrum Disorders (ASDs) exhibit significant impairments in
gesture imitation. Newest interventions are based on Human-Robot Interaction (HRI) since …

With the latest advancements, hand gesture recognition is becoming an effective way of
communication and gaining popularity from a research point of view. Hearing impaired …

The flight search is considered one of the biggest searches on the World Wide Web. This
study aims to establish an effective prediction model from a huge data set. This article offers …

Fault diagnosis techniques (FDT) face the challenge of implementing model learning in the
presence of limited, imbalanced, or non-ideal data, which is a fundamental and crucial …

There is an urgent need, accelerated by the COVID-19 pandemic, for methods that allow
clinicians and neuroscientists to remotely evaluate hand movements. This would help detect …

Pedestrian occurrences in images and videos must be accurately recognized in a number of
applications that may improve the quality of human life. Radar can be used to identify …

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 …

Hand gesture recognition is a significant and challenging building block for different
computer vision applications such as controlling, conversational, manipulative, and …