Muscle fatigue represents a complex physiological and psychological phenomenon that
impairs physical performance and increases the risks of injury. It is important to continuously …

Hand gestures are crucial for developing prosthetic and rehabilitation devices, enabling
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …

Accurate surface electromyography decoding of hand gestures is pivotal for advancing
human–computer interaction applications. Recent developments in end-to-end deep neural …

Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …

To develop multi-functionalhuman-machine interfaces that can help disabled people
reconstruct lost functions of upper-limbs, machine learning (ML) and deep learning (DL) …

Hand gesture recognition is one of the most widely explored areas under the human–
computer interaction domain. Although various modalities of hand gesture recognition have …

Worker-robot collaboration (WRC) is a promising solution for complex construction tasks,
which can integrate the robots' advantages in strength and accuracy with human ability in …

Objectives This study investigates the performance of the Support Vector Machine (SVM) to
classify non-real-time and real-time EMG signals. The study also compares training …

In recent years, hand gesture recognition in human-computer interfaces is usually based on
surface electromyography because the signals are non-intrusive and are not affected by the …

As a result of stimulating the basic human senses, emotional states occur in humans. Of
these senses, the visual sense is the most basic human sense. This sense perceives visual …