3 citations · 6 across the 4 of their papers we have counts for
4 papers
Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition
Xiaopeng Si, Dong Huang, Yulin Sun +1
Emotion recognition plays a crucial role in human-computer interaction, and electroencephalography (EEG) is advantageous for reflecting human emotional states. In this study, we pr…
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability
Zhengqing Miao, Xin Zhang, Meirong Zhao +1
EEG-based recognition of activities and states involves the use of prior neuroscience knowledge to generate quantitative EEG features, which may limit BCI performance. Although neu…
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
Zhengqing Miao, Xin Zhang, Carlo Menon +3
Motor imagery (MI) is a common brain computer interface (BCI) paradigm. EEG is non-stationary with low signal-to-noise, classifying motor imagery tasks of the same participant from…
Dynamic Functional Connectivity and Graph Convolution Network for Alzheimer's Disease Classification
Xingwei An, Yutao Zhou, Yang Di +1
Alzheimer's disease (AD) is the most prevalent form of dementia. Traditional methods cannot achieve efficient and accurate diagnosis of AD. In this paper, we introduce a novel meth…