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
2017-08
发表期刊IEEE Transactions on Biomedical Circuits and Systems
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
专题复杂系统管理与控制国家重点实验室_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
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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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