Knowledge Commons of Institute of Automation,CAS
A CNN-based compare network for classification of SSVEPs in human walking | |
Wu, Chenyao1,2; Qiu, Shuang1; Xing, Jiezhen1,2; He, Huiguang1,2,3 | |
2020-07 | |
会议名称 | 2020 42nd 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 | Brain-computer interface (BCI) can provide a way for the disabled to interact with the outside world. Steady-state visual evoked potential (SSVEP), which evokes potential through visual stimulation is one of important BCI paradigms. In laboratory environment, the classification accuracy of SSVEPs is excellent. However, in motion state, the accuracy will be greatly affected and reduce quite a lot. In this paper, in order to improve the classification accuracy of the SSVEP signals in the motion state, we collected SSVEP data of five targets at three speeds of 0km/h, 2.5km/h and 5km/h. A compare network based on convolutional neural network (CNN) was proposed to learn the relationship between EEG signal and the template corresponding to each stimulus frequency and classify. Compared with traditional methods (i.e., CCA, FBCCA and SVM) and state-of-the-art method (CNN) on the collected SSVEP datasets of 20 subjects, the method we proposed always performed best at different speeds. Therefore, these results validated the effectiveness of the method. In addition, compared with the speed of 0 km / h, the accuracy of the compare network at a high walking rate (5km/h) did not decrease much, and it could still maintain a good performance. |
DOI | 10.1109/EMBC44109.2020.9176649 |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48823 |
专题 | 脑图谱与类脑智能实验室_神经计算与脑机交互 |
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 Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 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 | Wu, Chenyao,Qiu, Shuang,Xing, Jiezhen,et al. A CNN-based compare network for classification of SSVEPs in human walking[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 | ||
A CNN-based compare (351KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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