Industry 4.0 has promoted the concept of automation, supporting workers with robots while
maintaining their central role in the factory. To guarantee the safety of operators and improve …

In recent years, hand gesture recognition (HGR) technologies that use electromyography
(EMG) signals have been of considerable interest in develo** human–machine interfaces …

Hand gesture recognition systems (HGR) based on electromyography signals (EMGs) and
inertial measurement unit signals (IMUs) have been studied for different applications in …

Abstract Body-machine interfaces (BoMIs)—systems that control assistive devices (eg, a
robotic manipulator) with a person's movements—offer a robust and non-invasive alternative …

The accuracy of the wearable inertia-measurement-unit (IMU)-sensor-based gesture
recognition may be significantly affected by undesired changes in the body-fixed frame and …

In this paper, the interactive application of data gloves based on emotion recognition and
judgment system is investigated. A system of emotion recognition and judgment is …

This study proposes a telemanipulation framework with two wearable IMU sensors without
human skeletal kinematics. First, the states (intensity and direction) of spatial hand-guiding …

Redundant manipulators are universally employed to save manpower and improve work
efficiency in numerous areas. Nevertheless, the redundancy makes the inverse kinematics …

When interacting with the external environment, dexterous hands face various challenges,
including interference in cluttered environments and difficulty in accurately locating target …

The advent of smart manufacturing (SM) has led to the creation of collaborative
environments with cyber-physical systems (CPS) that generate added value. However, the …