Search Results for author:
Found 5 papers, 0 papers with code
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network
In this work, the feasibility of hand kinematics decoding using EEG cortical source signals has been explored for grasp and lift task.
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation
The feasibility of early estimation of KPs is demonstrated using brain source imaging.
Subject-Independent 3D Hand Kinematics Reconstruction using Pre-Movement EEG Signals for Grasp And Lift Task
In this study, the hand kinematics decoding for grasp and lift task is performed in three-dimensional (3D) space using scalp electroencephalogram (EEG) signals.
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task
Low-frequency signals recorded from non-invasive electroencephalography (EEG) are associated with the neural motor correlation utilised for motor trajectory decoding (MTD).
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal
The ability to reconstruct the kinematic parameters of hand movement using non-invasive electroencephalography (EEG) is essential for strength and endurance augmentation using exosuit/exoskeleton.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
