Enhancing training performance for brain–computer interface with object-directed 3D visual guidance
文献类型：期刊论文
| 作者 | Shuang Liang; Kup-Sze Choi; Jing Qin; Wai-Man Pang; Pheng-Ann Heng |
| 刊名 | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
 |
| 出版日期 | 2016 |
| 英文摘要 | Purpose The accuracy of the classification of user intentions is essential for motor imagery (MI)-based brain classification accuracy than the non-object-directed case.We further indicate that both static-object-directed and dynamic object-directed scenarios could shorten the response time as well as be suitable applied in the case of small training data. In addition, experiment results demonstrate that the multi-subject BCI paradigm could improve the classification performance comparing with the single-subject paradigm. These results suggest that it is possible to improve the classification performance with the appropriate visual guidance and better BCI paradigm. Conclusion We believe that our findings would have the potential for improving classification performance of MIbased BCI and being applied in the practical applications. computer interface (BCI). Effective and appropriate training for users could help us produce the high reliability of mind decision making related with MI tasks. In this study, we aimed to investigate the effects of visual guidance on the classification performance of MI-based BCI. Methods In this study, leveraging both the single-subject and the multi-subject BCI paradigms, we train and classify MI tasks with three different scenarios in a 3D virtual environment, including non-object-directed scenario, static-object-directed scenario, and dynamic object-directed scenario. Subjects are required to imagine left-hand or righthand movement with the visual guidance. Results We demonstrate that the classification performances of left-hand and right-hand MI task have differences on these three scenarios, and confirm that both static-object-directed and dynamic object-directed scenarios could provide better |
| 收录类别 | SCI |
| 原文出处 | https://www.ncbi.nlm.nih.gov/pubmed/26724935 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/9825]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY |
| 推荐引用方式 GB/T 7714 | Shuang Liang,Kup-Sze Choi,Jing Qin,et al. Enhancing training performance for brain–computer interface with object-directed 3D visual guidance[J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY ,2016. |
| APA | Shuang Liang,Kup-Sze Choi,Jing Qin,Wai-Man Pang,&Pheng-Ann Heng.(2016).Enhancing training performance for brain–computer interface with object-directed 3D visual guidance.INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY . |
| MLA | Shuang Liang,et al."Enhancing training performance for brain–computer interface with object-directed 3D visual guidance".INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。