中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification

文献类型:期刊论文

作者Can Wang; Xinyu Wu; Yua Ma; Guizhong Wu; Yuhao Luo
刊名COMPLEXITY
出版日期2018
文献子类期刊论文
英文摘要This paper presents a bio-inspired lower extremity exoskeleton robot. The proposed exoskeleton robot can be adjusted in structure to meet the wearer's height of 150-185cm and has good gait stability. In the gait control part, a method of identifying different locomotion modes is proposed, five common locomotion modes are considered in this paper, including sitting down, standing up, level-ground walking, ascending stairs, and descending stairs. The identification is depended on angle information of hip, knee and ankle joints. A deep locomotion mode identification model (DLMIM) based on Long Short Term Memory (LSTM) architecture is proposed in this paper for exploiting the angle data. We conducted two experiments to verify the effectiveness of the proposed method. Experimental results show the DLMIM is capable of learning inherent characteristics of joint angles and achieves more accurate identification than other models. The last experiment demonstrates that the DLMIM can recognize transitions between different locomotion modes in time and the real-time performance varies with each individual.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/13672]  
专题深圳先进技术研究院_集成所
推荐引用方式
GB/T 7714
Can Wang,Xinyu Wu,Yua Ma,et al. A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification[J]. COMPLEXITY,2018.
APA Can Wang,Xinyu Wu,Yua Ma,Guizhong Wu,&Yuhao Luo.(2018).A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification.COMPLEXITY.
MLA Can Wang,et al."A Flexible Lower Extremity Exoskeleton Robot with Deep Locomotion Mode Identification".COMPLEXITY (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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