An Approach to Minimize Calibration Time for Brain Computer Interface Based on Motion Imagery
文献类型：会议论文
| 作者 | Xu WL(徐卫良) ; Zhao XG(赵新刚); Zou YJ(邹宜君); Han JD(韩建达)
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| 出版日期 | 2017 |
| 会议名称 | 7th Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017) |
| 会议日期 | July 31 - August 4, 2017 |
| 会议地点 | Hawaii, USA |
| 关键词 | brain computer interface common spatial pattern training time multi-subject model |
| 页码 | 1-6 |
| 通讯作者 | Zou YJ(邹宜君) |
| 中文摘要 | The long training time is a big problem that block the application of brain computer interface. This paper solve this problem using the existing dataset of many subjects. By analyzing the differences in EEG signal among different users, removing these differences as much as possible and exploits the common points of different individual, the proposed method can correct the data in existing dataset to a new dataset close to the target data. Then using the ensemble method, we combine the model of the existing dataset to a final model. The result shows that the proposed method can decrease the training time greatly while the recognize accuracy can also meet the need. |
| 产权排序 | 1 |
| 会议录 | 7th Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5386-0489-2 |
| 源URL | [http://ir.sia.cn/handle/173321/21342]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | Shenyang Institute of Automation (SIA) ,Chinese Academy of Sciences ,Shenyang, China |
| 推荐引用方式 GB/T 7714 | Xu WL,Zhao XG,Zou YJ,et al. An Approach to Minimize Calibration Time for Brain Computer Interface Based on Motion Imagery[C]. 见:7th Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017). Hawaii, USA. July 31 - August 4, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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