Personalized gait trajectory generation based on anthropometric features using Random Forest | |
Shixin Ren1,2; Weiqun Wang1,2; Zeng-Guang Hou2,3; Badong Chen4; Xu Liang1,2; Liang Peng1,2 | |
刊名 | Journal of Ambient Intelligence and Humanized Computing |
2019-07 | |
期号 | 1页码:1-12 |
关键词 | Personalized gait Gait generation Random Forest Anthropometric features Rehabilitation training |
英文摘要 | Using lower limb rehabilitation robots (LLRRs) to help stroke patients recover their walking ability is attracting more and more attention presently. Previous studies have shown that gait rehabilitation training with natural gait pattern can improve the therapeutic outputs. However, how to generate the personalized gait trajectory has not been well researched. In this paper, a personalized gait generation method based anthropometric features is proposed. Firstly, gait trajectories are fitted and simplified into Fourier coefficient vectors, which are used to represent gait trajectories. Secondly, fourteen body features are used to generate the personalized gait trajectories and the feature set is further optimized based on the minimal redundancy maximal relevance criterion for easy application on the LLRR. Then, the relationship between the optimized feature set and gait trajectories is modeled by using the RF algorithm. Finally, the performance of the proposed method is demonstrated |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/45037] |
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 | Weiqun Wang |
作者单位 | 1.University of Chinese Academy of Sciences, 2.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, 3.The CAS Center for Excellence in Brain Science and Intelligence Technology, 4.Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, |
推荐引用方式 GB/T 7714 | Shixin Ren,Weiqun Wang,Zeng-Guang Hou,et al. Personalized gait trajectory generation based on anthropometric features using Random Forest[J]. Journal of Ambient Intelligence and Humanized Computing,2019(1):1-12. |
APA | Shixin Ren,Weiqun Wang,Zeng-Guang Hou,Badong Chen,Xu Liang,&Liang Peng.(2019).Personalized gait trajectory generation based on anthropometric features using Random Forest.Journal of Ambient Intelligence and Humanized Computing(1),1-12. |
MLA | Shixin Ren,et al."Personalized gait trajectory generation based on anthropometric features using Random Forest".Journal of Ambient Intelligence and Humanized Computing .1(2019):1-12. |
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