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题名: Motion intention estimation of lower limbs based on sEMG supplement with acceleration signal
作者: Zhao XG(赵新刚); Wang, Rui; Ye D(叶丹)
作者部门: 机器人学研究室
会议名称: 27th Chinese Control and Decision Conference, CCDC 2015
会议日期: May 23-25, 2015
会议地点: Qingdao, China
会议录: Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 4414-4418
收录类别: EI ; CPCI(ISTP)
ISBN号: 978-1-4799-7016-2
关键词: sEMG ; Acceleration Signals ; Motion Intention Estimation ; Support Vector Machine (SVM)
摘要: Lower extremity exoskeleton robot can assist the person standing and walking which are important functions for the disabled or old people who can not make move by themselves. The priority task for exoskeleton robot is to get the movement intentions of wearer. This paper proposes an intention estimation method of lower limbs motion based on multi-types signals including surface electromyography (sEMG) and 3-axis acceleration data. 5 channels sEMG and 3-axis acceleration were collected at the 5 same points from able-bodied and the disabled people respectively. After preprocessed and normalized, different features were extracted from the obtained signals. Support vector machine (SVM) was utilized for motion classification, where features of sEMG signals and acceleration signals were taken as input respectively. We also tested the fusion features of the both signals. Furthermore, compared experiments were carried for the disabled and normal people. Results demonstrated that the proposed method was effective for able-bodied people, while the accuracy of the method for disabled people need to be further improved.
语种: 英语
产权排序: 1
WOS记录号: WOS:000375232905147
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17194
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
Zhao XG,Wang, Rui,Ye D. Motion intention estimation of lower limbs based on sEMG supplement with acceleration signal[C]. 见:27th Chinese Control and Decision Conference, CCDC 2015. Qingdao, China. May 23-25, 2015.
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