78 citations · 123 across the 4 of their papers we have counts for
4 papers
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation
Manali Saini, Anant Jain, Lalan Kumar +3
Kinematic parameter (KP) estimation from early electroencephalogram (EEG) signals is essential for positive augmentation using wearable robot. However, work related to early estima…
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task
Anant Jain, Lalan Kumar
Brain-computer interface (BCI) systems can be utilized for kinematics decoding from scalp brain activation to control rehabilitation or power-augmenting devices. In this study, the…
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task
Anant Jain, Lalan Kumar
Kinematics decoding from brain activity helps in developing rehabilitation or power-augmenting brain-computer interface devices. Low-frequency signals recorded from non-invasive el…
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal
Sidharth Pancholi, Amita Giri, Anant Jain +2
The ability to reconstruct the kinematic parameters of hand movement using non-invasive electroencephalography (EEG) is essential for strength and endurance augmentation using exos…