Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

With the development of virtual reality (VR) and human-computer interaction technology,
how to use natural and efficient interaction methods in the virtual environment has become a …

The surface electromyography (sEMG)-based gesture recognition with deep learning
approach plays an increasingly important role in human-computer interaction. Existing deep …

Pattern recognition of electromyography (EMG) signals can potentially improve the
performance of myoelectric control for upper limb prostheses with respect to current clinical …

This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …

Gestures, widely accepted as a humans' natural mode of interaction with their surroundings,
have been considered for use in human-computer based interfaces since the early 1980s …

Surface electromyography signal plays an important role in hand function recovery training.
In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based …

An algorithmic framework is proposed to process acceleration and surface
electromyographic (SEMG) signals for gesture recognition. It includes a novel segmentation …

Modern hardware and software development has led to an evolution of user interfaces from
command-line to natural user interfaces for virtual immersive environments. Gestures …

In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …