Amanote Research
Register
Sign In
Estimation of User’s Motion Intention of Hand Based on Both EMG and EEG Signals
doi 10.5220/0004590604470452
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2013
Authors
Unknown
Publisher
SciTePress - Science and and Technology Publications
Related search
Estimation of Forearm Supination/Pronation Motion Based on EEG Signals to Control an Artificial Arm
Journal of Advanced Mechanical Design, Systems and Manufacturing
Industrial
Mechanical Engineering
Manufacturing Engineering
A Hybrid BCI Based on EEG and fNIRS Signals Improves the Performance of Decoding Motor Imagery of Both Force and Speed of Hand Clenching
Journal of Neural Engineering
Molecular Neuroscience
Biomedical Engineering
Cellular
The Driver’s Steering Feel Assessment Using EEG and EMG Signals
NeuroQuantology
Developmental Neuroscience
Cognitive Neuroscience
Optics
Atomic
Molecular Physics,
Multi-Length Windowed Feature Selection for Surface EMG Based Hand Motion Recognition
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Real and Imaginary Motion Classification Based on Rough Set Analysis of EEG Signals for Multimedia Applications
Multimedia Tools and Applications
Media Technology
Computer Networks
Hardware
Communications
Architecture
Software
Feature Extraction and Classification of Surface EMG Signals for Robotic Hand Simulation
Communications on Applied Electronics
Motion Intention Estimation of Lower Limbs Based on sEMG Supplement With Acceleration Signal
Design and Optimization of Levenberg-Marquardt Based Neural Network Classifier for EMG Signals to Identify Hand Motions
Measurement Science Review
Control
Systems Engineering
Biomedical Engineering
Instrumentation
SEMG Based Intention Identification of Complex Hand Motion Using Nonlinear Time Series Analysis