As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …

Online gesture classification can rely on unsupervised segmentation in order to divide the
data stream into static and dynamic segments for individual classification. However, this …

Teleoperated robot systems are able to support humans to accomplish their tasks in many
applications. However, the performance of teleoperation largely depends on motor …

This article proposes a Bayesian method to acquire the estimation of human impedance and
motion intention in a human–robot collaborative task. Combining with the prior knowledge of …

In recent years, the robotic research area has become extremely prolific in terms of wearable
active exoskeletons for human body motion assistance, with the presentation of many novel …

Surface electromyogram (sEMG) provides a non-invasive way to collect EMG signals. The
sEMG signals acquired from the muscles of the forearm can be used to recognize the hand …

Advanced myoelectric prosthetic hands are currently limited due to the lack of sufficient
signal sources on amputation residual muscles and inadequate real-time control …

In this paper, we present a simultaneous and continuous kinematics estimation method for
multiple DoFs across shoulder and elbow joint. Although simultaneous and continuous …

The myoelectric upper-limb prosthetic manipulation is inherently limited by the unreliable
sensor-skin interface. This paper presents a hybrid approach to overcome the limitation of …