Surface EMG-based inter-session gesture recognition enhanced by deep domain adaptation
High-density surface electromyography (HD-sEMG) is to record muscles' electrical activity
from a restricted area of the skin by using two dimensional arrays of closely spaced …
from a restricted area of the skin by using two dimensional arrays of closely spaced …
Myoelectric control for upper limb prostheses
State-of-the-art high-end prostheses are electro-mechanically able to provide a great variety
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
of movements. Nevertheless, in order to functionally replace a human limb, it is essential that …
Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control
In recent years the number of active controllable joints in electrically powered hand-
prostheses has increased significantly. However, the control strategies for these devices in …
prostheses has increased significantly. However, the control strategies for these devices in …
Clinical perspectives in upper limb prostheses: An update
Abstract Purpose of Review This paper aims to summarise the development trends in upper
limb bionics over the past 5 years. Recent Findings Increasingly pattern recognition and …
limb bionics over the past 5 years. Recent Findings Increasingly pattern recognition and …
A survey of sensor fusion methods in wearable robotics
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
Is accurate mapping of EMG signals on kinematics needed for precise online myoelectric control?
In this paper, we present a systematic analysis of the relationship between the accuracy of
the mapping between EMG and hand kinematics and the control performance in goal …
the mapping between EMG and hand kinematics and the control performance in goal …
Extracting signals robust to electrode number and shift for online simultaneous and proportional myoelectric control by factorization algorithms
Previous research proposed the extraction of myoelectric control signals by linear
factorization of multi-channel electromyogram (EMG) recordings from forearm muscles. This …
factorization of multi-channel electromyogram (EMG) recordings from forearm muscles. This …
High-density electromyography and motor skill learning for robust long-term control of a 7-DoF robot arm
Myoelectric control offers a direct interface between human intent and various robotic
applications through recorded muscle activity. Traditional control schemes realize this …
applications through recorded muscle activity. Traditional control schemes realize this …
Decoding simultaneous multi-DOF wrist movements from raw EMG signals using a convolutional neural network
W Yang, D Yang, Y Liu, H Liu - IEEE Transactions on Human …, 2019 - ieeexplore.ieee.org
Pattern recognition (PR) methods are commonly utilized in the extraction of motion
intentions from myoelectric signals, which is realized by relating several electromyogram …
intentions from myoelectric signals, which is realized by relating several electromyogram …
System training and assessment in simultaneous proportional myoelectric prosthesis control
Background Pattern recognition control of prosthetic hands take inputs from one or more
myoelectric sensors and controls one or more degrees of freedom. However, most systems …
myoelectric sensors and controls one or more degrees of freedom. However, most systems …