Search Results for author: Yimin Hou

Found 3 papers, 2 papers with code

Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals

1 code implementation25 Jun 2020 Shuyue Jia, Yimin Hou, Yan Shi, Yang Li

In previous studies, decoding electroencephalography (EEG) signals has not considered the topological relationship of EEG electrodes.

EEG Intent Detection +1

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

1 code implementation16 Jun 2020 Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.

EEG

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

no code implementations2 May 2020 Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

The introduced deep feature mining approach can precisely recognize human motion intents from raw EEG signals, which paves the road to translate the EEG based MI recognition to practical BCI systems.

EEG

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