Knowledge Commons of Institute of Automation，CAS
| A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions | |
Cui, Chengkun1,2 ; Bian, Gui-Bin1; Hou, Zeng-Guang1,2,3; Zhao, Jun4; Zhou, Hao4
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| 发表期刊 | IEEE Transactions on Biomedical Circuits and Systems
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| 2017-08 | |
| 卷号 | 11期号:4页码:889–899 |
| 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. |
| 关键词 | Electroencephalogram (Eeg) Electromyogram (Emg) Human-robot Interaction Mechanomyogram (Mmg) Motion Intention Recognition Multimodal Fusion |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/20974 |
| 专题 | 复杂系统认知与决策实验室_先进机器人 |
| 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 |
| 第一作者单位 | 中国科学院自动化研究所 |
| 通讯作者单位 | 中国科学院自动化研究所 |
| 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. |
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