Implementation of a Brain-Computer Interface on a Lower-Limb Exoskeleton
文献类型：期刊论文
| 作者 | Wang, Can; Wu, Xinyu; Wang, Zhouyang; Ma, Yue |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | In this paper, we propose to use brain-computer interface (BCI) to control a lower-limb exoskeleton. The exoskeleton follows the wearer's motion intention through decoding of electroencephalography (EEG) signals and multi-modal cognition. Motion patterns as standing up, sitting down, and walking forward can be performed. We implemented two types of BCIs, one based on steady-state visual evoked potentials, which used canonical correlation analysis to extract the frequency the subject focused on. The other BCI is based on motor imagery, where the common spatial patterns method was employed to extract the features from the EEG signal. Then, the features were classified by support vector machine to recognize the intention of the subject. We invited four healthy subjects to participate in the experiments, including off-line and online. The off-line experiments trained the classifier and then were used online to test the performance of the BCI controlled exoskeleton system. The results showed high accuracy rate in motion intention classification tasks for both BCIs. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13670]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Wang, Can,Wu, Xinyu,Wang, Zhouyang,et al. Implementation of a Brain-Computer Interface on a Lower-Limb Exoskeleton[J]. IEEE ACCESS,2018. |
| APA | Wang, Can,Wu, Xinyu,Wang, Zhouyang,&Ma, Yue.(2018).Implementation of a Brain-Computer Interface on a Lower-Limb Exoskeleton.IEEE ACCESS. |
| MLA | Wang, Can,et al."Implementation of a Brain-Computer Interface on a Lower-Limb Exoskeleton".IEEE ACCESS (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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