Knowledge Commons of Institute of Automation,CAS
Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data | |
Zhijie Fang1,2; Weiqun Wang1,2; Shixin Ren1,2; Jiaxing Wang1,2; Weiguo Shi1,2; Xu Liang1,2; Chen-Chen Fan1,2; Zengguang Hou1,2,3 | |
2020-07 | |
会议名称 | International Joint Conference on Artificial Intelligence |
会议日期 | January 7-15, 2021 |
会议地点 | online in a virtual reality |
摘要 | Recent deep learning-based Brain-Computer Interface (BCI) decoding algorithms mainly focus on spatial-temporal features, while failing to explicitly explore spectral information which is one of the most important cues for BCI. In this paper, we propose a novel regional attention convolutional neural network (RACNN) to take full advantage of spectral-spatial-temporal features for EEG motion intention recognition. Time-frequency based analysis is adopted to reveal spectral-temporal features in terms of neural oscillations of primary sensorimotor. The basic idea of RACNN is to identify the activated area of the primary sensorimotor adaptively. The RACNN aggregates a varied number of spectral-temporal features produced by a backbone convolutional neural network into a compact fixed-length representation. Inspired by the neuroscience findings that functional asymmetry of the cerebral hemisphere, we propose a region biased loss to encourage high attention weights for the most critical regions. Extensive evaluations on two benchmark datasets and real-world BCI dataset show that our approach significantly outperforms previous methods. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 多模态智能 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44749 |
专题 | 复杂系统认知与决策实验室_先进机器人 中国科学院自动化研究所 |
通讯作者 | Weiqun Wang |
作者单位 | 1.The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Center for Excellence in Brain Science and Intelligence Technology, Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhijie Fang,Weiqun Wang,Shixin Ren,et al. Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data[C],2020. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
IJCAI-20.pdf(1549KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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