In this work, we present a hardware-software solution to improve the robustness of hand
gesture recognition to confounding factors in myoelectric control. The solution includes a …

Development of advance surface Electromyogram (sEMG)-based Human-Machine Interface
(HMI) systems is of paramount importance to pave the way towards emergence of futuristic …

This study addresses two critical aspects of gesture classification: data acquisition and
feature extraction. It introduces an efficient surface electromyogram (sEMG) acquisition band …

Advancements in Biological Signal Processing (BSP) and Machine-Learning (ML) models
have paved the path for development of novel immersive Human-Machine Interfaces (HMI) …

Facial Expression Recognition has demonstrated significant potential in biomedical
research area: evaluation of emotional well-being, support in non-verbal communication …

The presented research focuses on Hand Gesture Recognition (HGR) utilizing Surface-
Electromyogram (sEMG) signals. This is due to its unique potential for decoding wearable …

Amputees face psychological and sensory issues in their daily lives due to missing essential
human activities and shape. Fortunately, prosthetic solutions can reduce the gap between …

Wearable technologies are gaining considerable attention in recent years as a potential post-
smartphone platform with several applications of significant engineering importance …

The presented research focuses on Hand Gesture Recognition (HGR) utilizing Surface-
Electromyogram (EMG) signals. This is due to its unique potential for decoding wearable …

This demonstration presents a smart wearable armband for hand gesture recognition
interfaced with a 6-DOF robotic arm which actuates the user's movements. The armband is …