A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions
文献类型：期刊论文
| 作者 | Cui, Chengkun1,2 ; Bian, Gui-Bin1; Hou, Zeng-Guang1,2,3; Zhao, Jun4; Zhou, Hao4
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| 刊名 | IEEE Transactions on Biomedical Circuits and Systems
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| 出版日期 | 2017-08 |
| 卷号 | 11期号:4页码:889–899 |
| 关键词 | Electroencephalogram (Eeg) Electromyogram (Emg) Human-robot Interaction Mechanomyogram (Mmg) Motion Intention Recognition Multimodal Fusion |
| 英文摘要 | In this study, a multimodal fusion framework based on three different modal biosignals is developed to recognize human intentions related to lower limb multi-joint motions which commonly appear in daily life. Electroencephalogram (EEG), electromyogram (EMG) and mechanomyogram (MMG) signals were simultaneously recorded from twelve subjects while performing nine lower limb multi-joint motions. These multimodal data are used as the inputs of the fusion framework for identification of different motion intentions. Twelve fusion techniques are evaluated in this framework and a large number of comparative experiments are carried out. The results show that a support vector machine-based three-modal fusion scheme can achieve average accuracies of 98.61%, 97.78% and 96.85%, respectively, under three different data division forms. Furthermore, the relevant statistical tests reveal that this fusion scheme brings significant accuracy improvement in comparison with the cases of two-modal fusion or only a single modality. These promising results indicate the potential of the multimodal fusion framework for facilitating the future development of human-robot interaction for lower limb rehabilitation. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20974]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Hou, Zeng-Guang |
| 作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.The CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing 100190, China 4.Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing 100068, China |
| 推荐引用方式 GB/T 7714 | Cui, Chengkun,Bian, Gui-Bin,Hou, Zeng-Guang,et al. A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions[J]. IEEE Transactions on Biomedical Circuits and Systems,2017,11(4):889–899. |
| APA | Cui, Chengkun,Bian, Gui-Bin,Hou, Zeng-Guang,Zhao, Jun,&Zhou, Hao.(2017).A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions.IEEE Transactions on Biomedical Circuits and Systems,11(4),889–899. |
| MLA | Cui, Chengkun,et al."A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions".IEEE Transactions on Biomedical Circuits and Systems 11.4(2017):889–899. |
入库方式： OAI收割
来源：自动化研究所
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