Search Results for author: Neethu Robinson

Found 4 papers, 4 papers with code

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

1 code implementation5 May 2021 Yi Ding, Neethu Robinson, Chengxuan Tong, Qiuhao Zeng, Cuntai Guan

It captures temporal dynamics of EEG which then serves as input to the proposed local and global graph-filtering layers.

Brain Computer Interface EEG +2

TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition

2 code implementations7 Apr 2021 Yi Ding, Neethu Robinson, Su Zhang, Qiuhao Zeng, Cuntai Guan

TSception consists of dynamic temporal, asymmetric spatial, and high-level fusion layers, which learn discriminative representations in the time and channel dimensions simultaneously.

EEG Emotion Recognition

FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

1 code implementation17 Mar 2021 Ravikiran Mane, Effie Chew, Karen Chua, Kai Keng Ang, Neethu Robinson, A. P. Vinod, Seong-Whan Lee, Cuntai Guan

With this design, we compare FBCNet with state-of-the-art (SOTA) BCI algorithm on four MI datasets: The BCI competition IV dataset 2a (BCIC-IV-2a), the OpenBMI dataset, and two large datasets from chronic stroke patients.

Binary Classification Brain Computer Interface +4

TSception: A Deep Learning Framework for Emotion Detection Using EEG

1 code implementation2 Apr 2020 Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih-Shih Lee, Cuntai Guan

TSception consists of temporal and spatial convolutional layers, which learn discriminative representations in the time and channel domains simultaneously.

EEG Electroencephalogram (EEG) +1

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