Neethu Robinson

Orcid: 0000-0001-8531-2940

According to our database1, Neethu Robinson authored at least 35 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

CASTNet: Cycle-Consistent Attention-based Network for Decoding Open/Close Hand Movement Attempts using EEG.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition.
IEEE Trans. Affect. Comput., 2023

2022
FPGA-based Deep-Learning Accelerators for Energy Efficient Motor Imagery EEG classification.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
Separability of Motor Imagery Directions Using Subject-Specific Discriminative EEG Features.
IEEE Trans. Hum. Mach. Syst., 2021

Use of Mobile EEG in Decoding Hand Movement Speed and Position.
IEEE Trans. Hum. Mach. Syst., 2021

Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network.
Neural Networks, 2021

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface.
CoRR, 2021

TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition.
CoRR, 2021

FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface.
CoRR, 2021

Performance Evaluation of Compressed Deep CNN for Motor Imagery Classification using EEG.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Investigation on Robustness of EEG-based Brain-Computer Interfaces.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
TSception: A Deep Learning Framework for Emotion Detection Using EEG.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Utilizing Subject-Specific Discriminative EEG Features for Classification of Motor Imagery Directions.
Proceedings of the IEEE 10th International Conference on Awareness Science and Technology, 2019

2018
Classification of unilateral motor tasks using spectral features of EEG.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Covert Visuospatial Attention (VSA) for EEG-Based Asynchronous Control of Robot.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

EEG-based Discriminative Features During Hand Movement Execution and Imagination.
Proceedings of the 15th International Conference on Control, 2018

2017
EEG-based motor imagery classification using subject-specific spatio-spectral features.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Classifying subjective emotional stress response evoked by multitasking using EEG.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Canonical correlation analysis of EEG for classification of motor imagery.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Binary classification of hand movement directions from EEG using wavelet phase-locking.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Decoding speed of hand movement execution using temporal features of EEG.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Online Biometric Authentication Using Subject-Specific Band Power features of EEG.
Proceedings of the 2017 International Conference on Cryptography, Security and Privacy, 2017

Detecting and tracking multiple directional movements in EEG based BCI.
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017

2015
Signal processing techniques for motor control brain computer interface systems
PhD thesis, 2015

Bi-Directional Imagined Hand Movement Classification Using Low Cost EEG-Based BCI.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Spatio-temporal variations in hand movement trajectory based brain activation patterns.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013
EEG-Based Classification of Fast and Slow Hand Movements Using Wavelet-CSP Algorithm.
IEEE Trans. Biomed. Eng., 2013

Hand Movement Trajectory Reconstruction from EEG for Brain-Computer Interface Systems.
Proceedings of the IEEE International Conference on Systems, 2013

2012
A modified Wavelet-Common Spatial Pattern method for decoding hand movement directions in brain computer interfaces.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Differences in hemodynamic activations between motor imagery and upper limb FES with NIRS.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A Wavelet-CSP method to classify hand movement directions in EEG based BCI system.
Proceedings of the 8th International Conference on Information, 2011


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