As an alternative to traditional remote controller, research on vision-based hand gesture
recognition is being actively conducted in the field of interaction between human and …

Tele-nursing robots provide a safe approach for patient-caring in quarantine areas. For
effective nurse–robot collaboration, ergonomic teleoperation and intuitive interfaces with low …

This study aims to propose a novel sensor to segment calibration method for magnetic and
inertial measurement unit (M-IMU) based human motion capture systems. The calibration …

Accurate master-slave control is important for Robot-Assisted Microsurgery (RAMS). This
paper presents a handheld master controller for the operation and training of RAMS. A 9 …

This study focuses on a myoelectric interface that controls a robotic manipulator via
neuromuscular electrical signals generated when humans make hand gestures. The …

In this paper, we proposed an intuitive teleoperation system combining surface-
electromyogram (sEMG) with inertia measurement unit (IMU) sensors. Two IMU sensors …

This paper studies a novel wearable human-computer interface that allows a user to interact
with computer-based applications through the fusion of sEMG and IMU sensors. The …

This paper presents a real-time framework for tele-manipulation by using sEMG signals to
estimate both human motion and force intention. Our previous study showed that the ability …

Human limb movement sensing is crucial in different areas of science. In this paper, a
method for sensing human limb movement and the subsequent reconstruction in a 3-D …

This study proposes a myoelectric Human Machine Interface (HMI) to control a 6-DOF
robotic manipulator with a 1-DOF gripper. Previous study has shown that using dynamic …