Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Driver anomaly quantification is a fundamental capability to support human-centric driving
systems of intelligent vehicles. Existing studies usually treat it as a classification task and …

Sign language is essential for deaf and mute people to communicate with normal people
and themselves. As ordinary people tend to ignore the importance of sign language, which …

In this paper, a new structure of deep learning neural network is introduced to identify the
static hand gesture in the sign language. The proposed structure includes the convolutional …

Of late, the research world has been vigorously involved in, inventing strategy and
techniques to improve the spontaneity of Human Computer Interaction (HCI). Gesture …

The diversity of change detection (CD) methods and the limitations in generalizing these
techniques using different types of remote sensing datasets over various study areas have …

Deep learning-based hyperspectral image superresolution methods have achieved great
success recently. However, most methods utilize 2D or 3D convolution to explore features …

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 …

Using augmented reality (AR) in science education is one of the popular topics that have
been researched in recent years. However, more qualitative studies are needed as the …

The possibility for humans to interact with physical or virtual systems using gestures has
been vastly explored by researchers and designers in the last 20 years to provide new and …