Knowledge Commons of Institute of Automation,CAS
A Transfer Learning Framework for RSVP-based Brain Computer Interface | |
Wei Wei1,2; Qiu Shuang1; Ma Xuelin1,2; Li Dan1,2; Zhang Chuncheng1; He Huiguang1,2,3 | |
2020-07 | |
会议名称 | Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
会议日期 | 20-24 July 2020 |
会议地点 | Montreal, QC, Canada |
出版者 | IEEE |
摘要 | Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interface (BCI) is an efficient information detection technology by detecting event-related brain responses evoked by target visual stimuli. However, a time-consuming calibration procedure is needed before a new user can use this system. Thus, it is important to reduce calibration efforts for BCI applications. In this paper, we collect an RSVP-based electroencephalogram (EEG) dataset, which includes 11 subjects. The experimental task is image retrieval. Also, we propose a multi-source transfer learning framework by utilizing data from other subjects to reduce the data requirement on the new subject for training the model. A source-selection strategy is firstly adopted to avoid negative transfer. And then, we propose a transfer learning network based on domain adversarial training. The convolutional neural network (CNN)-based network is designed to extract common features of EEG data from different subjects, while the discriminator tries to distinguish features from different subjects. In addition, a classifier is added for learning semantic information. Also, conditional information and gradient penalty are added to enable stable training of the adversarial network and improve performance. The experimental results demonstrate that our proposed method outperforms a series of state-of-the-art and baseline approaches. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 脑机接口 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44317 |
专题 | 脑图谱与类脑智能实验室_神经计算与脑机交互 类脑智能研究中心 |
通讯作者 | He Huiguang |
作者单位 | 1.Research Center for Brain-inspired Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 3.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Beijing, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Wei Wei,Qiu Shuang,Ma Xuelin,et al. A Transfer Learning Framework for RSVP-based Brain Computer Interface[C]:IEEE,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 | ||
09175581.pdf(2915KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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