A SemiSupervised Support Vector Machines Algorithm for BCI Systems
文献类型：期刊论文
| 作者 | Jianzhao Qin ; Yuanqing Li ; Wei Sun |
| 刊名 | Computational Intelligence and Neuroscience
 |
| 出版日期 | 2007 |
| 卷号 | 2007页码:1-9 |
| 英文摘要 | As an emerging technology, brain-computer interfaces (BCIs) bring us new communication interfaces which translate brain activities into control signals for devices like computers, robots, and so forth. In this study, we propose a semisupervised support vector machine (SVM) algorithm for brain-computer interface (BCI) systems, aiming at reducing the time-consuming training process. In this algorithm, we apply a semisupervised SVM for translating the features extracted from the electrical recordings of brain into control signals. This SVM classifier is built from a small labeled data set and a large unlabeled data set. Meanwhile, to reduce the time for training semisupervised SVM, we propose a batch-mode incremental learning method, which can also be easily applied to the online BCI systems. Additionally, it is suggested in many studies that common spatial pattern (CSP) is very effective in discriminating two different brain states. However, CSP needs a sufficient labeled data set. In order to overcome the drawback of CSP, we suggest a two-stage feature extraction method for the semisupervised learning algorithm. We apply our algorithm to two BCI experimental data sets. The offline data analysis results demonstrate the effectiveness of our algorithm. |
| 收录类别 | 其他 |
| 原文出处 | http://dl.acm.org/citation.cfm?id=1321360 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2026]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Jianzhao Qin,Yuanqing Li,Wei Sun. A SemiSupervised Support Vector Machines Algorithm for BCI Systems[J]. Computational Intelligence and Neuroscience,2007,2007:1-9. |
| APA | Jianzhao Qin,Yuanqing Li,&Wei Sun.(2007).A SemiSupervised Support Vector Machines Algorithm for BCI Systems.Computational Intelligence and Neuroscience,2007,1-9. |
| MLA | Jianzhao Qin,et al."A SemiSupervised Support Vector Machines Algorithm for BCI Systems".Computational Intelligence and Neuroscience 2007(2007):1-9. |
入库方式： OAI收割
来源：深圳先进技术研究院
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