Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …

Gesture recognition as a natural, convenient and recognizable way has been received more
and more attention on human-machine interaction (HMI) recently. However, visual-based …

There is a growing interest in the large area, lightweight, low‐power electronic skin (e‐Skin),
consisting of a multitude of sensors over conformable surfaces. The use of multifunctional …

In this paper, the non-decomposition method is employed to investigate the quasi-projective
synchronization of fractional-order complex-valued neural networks (FOCVNNs) with …

Abstract Hand Gesture Recognition is receiving enormous attention because they facilitate
communication for various applications, including human-computer interaction. However …

In this communication, an artificial intelligent method based on the prevailing multihead
attention mechanism for prediction of scattering properties of 2-D targets is presented. To …

Sign language is the main means of communication for hearing impaired and mute
individuals, special populations, and special situations. However, the current low popularity …

Object imaging and recognition under difficult visual conditions is extremely challenging due
to the captured low-quality images, and traditional optical-based recognition methods …

The complexity of deep learning models affects the real-time performance of gesture
recognition, thereby limiting the application of gesture recognition algorithms in actual …

Hand-gesture based control has enormous potential both theoretically and for practical
applications due to its convenience and intuitiveness. This study presents a real-time …