Designing efficient and labor-saving prosthetic hands requires powerful hand gesture
recognition algorithms that can achieve high accuracy with limited complexity and latency. In …

Abstract the recognition of Hand gestures has become a critical point as it is widely used in
everyday applications. the challenge in this is to improve the recognition effect and develop …

A sign language recognition system (SLRS) facilitates the flow of information between the
signer and non-signer communities. In recent years, deep learning has become ubiquitous …

Sign language recognition is one of the most rapidly expanding fields of study today. Many
new technologies have been developed in recent years in the fields of artificial intelligence …

Sign languages, as means of communication, enable individuals to convey messages
through hand gestures, body movements, and facial expressions. It is primarily utilized by …

The book is a unique collection of studies involving intelligent systems and applications of
artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys …

Sign language is the way of interacting for hearing impaired people. Each Sign language
has multiple dialects. The world suffers from a lack of interaction between impaired and …

Designing efficient and labor-saving prosthetic hands requires powerful hand gesture
recognition algorithms that can achieve high accuracy with limited complexity and latency. In …

This article proposes a method based on multi-scale expansion of residual neural networks
(ResNets) to address challenges in the operation of rotating components, such as bearings …

Sign language (SL) serves as a visual communication tool bearing great significance for
deaf people to interact with others and facilitate their daily life. Wide varieties of SLs and the …