In this paper, we investigate the benefit of 3D hand skeletal information to the task of sign
language (SL) recognition from RGB videos, within a state-of-the-art, multiple-stream, deep …

In this paper we address the challenging problem of sign language recognition (SLR) from
videos, introducing an end-to-end deep learning approach that relies on the fusion of a …

Background The increasing use of robot-assisted surgery (RAS) has led to the need for new
methods of assessing whether new surgeons are qualified to perform RAS, without the …

Sign languages are the primary mean of communication for the majority of deaf people.
Unfortunately, there are multiple barriers due to the lack of assistive technologies, this …

High-heeled shoes of excessive height can severely injure shoe users. Such shoes may
cause various injuries, including musculoskeletal pain, osteoarthritis, and hallux valgus. A …

One of the ways of communication in human-computer interaction is by hand gesturing
through video, a collection of sequential images, and has a frame per second (fps) …

Human-robot interaction can be through several ways, such as through device control,
sounds, brain, and body, or hand gesture. There are two main issues: the ability to adapt to …

Wind speed prediction is needed in various sectors, such as in industry. However, the
weather conditions change all the time, so it is not easy to predict. The wind that blows is …

Movement recognition is a hot issue in machine learning. The gesture recognition is related
to video processing, which gives problems in various aspects. Some of them are separating …

Modern Artificial Intelligence (AI) developments urge that the evolved technology will impact
our daily lives. Speculation drawn from AI literature proves that AI is growing rapidly. Due to …