In the past few years, the emergence of artificial intelligence combined with the surface
electromyography (sEMG) paved the way to the development of smart and wearable …

Pattern recognition of surface electromyogram (surface EMG, sEMG) signals can obtain
human movement information. In recent years, this technology has been widely used in …

In the last years, surface electromyography (sEMG) has become a hot spot for research on
signal classification methods due to its many applications with consumer grade sensors …

The gesture recognition based on surface electromyography signals (sEMG) is an important
human-computer interaction technology. This paper proposes a precise gesture recognition …

Over the past decades, there has been particular interest in gesture recognition for human-
computer interaction (HCI). This particular combination finds many applications, including …

Human-Machine Interfaces (HMIs) are a rapidly progressing field, and gesture recognition is
a promising method in industrial, consumer, and health use cases. Surface …

Classifying human gestures using surface electromyografic sensors (sEMG) is a challenging
task. Wearable sensors have proven to be extremely useful in this context, but their …

High-density surface electromyography (HD-sEMG) and deep learning technology are
becoming increasingly used in gesture recognition. Based on electrode grid data …

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

Hand gesture recognition using surface electromyography (sEMG) has been one of the most
efficient motion analysis techniques in human–computer interaction in the last few decades …