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Alternative TitleA Review on Researches and Applications of sEMG-based Motion Intent Recognition Methods
丁其川; 熊安斌; 赵新刚; 韩建达
Source Publication自动化学报
Indexed ByEI ; CSCD
EI Accession number20160601889394
Contribution Rank1
Funding Organization国家高技术研究发展计划(863 计划) (2015AA042301), 国家自然科学基金(61273355, 61503374, 61573340), 机器人学国家重点实验室自主课题(2015-z06) 资助
Keyword表面肌电信号 人机交互 运动识别 刚度估计 自然控制
Other Abstract表面肌电信号(Surface electromyography,s EMG)是人体自身的资源,蕴含着关联人体运动的丰富信息,用它作为交互媒介以构建人机交互(Human-robot interaction,HRI)系统有天然的优势。通过肌电信号实现人机自然交互的关键是由肌电信号识别出人体运动意图,通常包括离散动作模态分类、关节连续运动量估计及关节刚度/阻抗估计等三方面内容。本文详细归纳基于表面肌电的运动识别方法研究成果,总结当前研究的特点;随后,介绍基于表面肌电的运动识别技术的应用现状,并探讨制约其推广的主要问题;最后,展望该技术的未来发展。; Surface electromyography (sEMG) signals are human0s own resources, which contain a wealth of information associated with one0s movement. Thus, there is a natural advantage in utilizing sEMG signals as interface media to construct human-robot interaction (HRI) systems. The key to realize a natural HRI with sEMG is recognizing human0s motion intention from sEMG signals, which usually involves three aspects, i.e., classifying discrete motion modes, esti- mating continuous movements of joints, and estimating sti®ness or impedance of joints. This paper fully collects the researches on methods of sEMG-based motion recognition, and summarizes the features of current studies. Afterwards, this paper introduces the application status of sEMG-based motion recognition technology, and discusses the key issues constraining its marketing applications. Finally, future development of the technology is presented.
Citation statistics
Cited Times:26[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author丁其川
Recommended Citation
GB/T 7714
丁其川,熊安斌,赵新刚,等. 基于表面肌电的运动意图识别方法研究及应用综述[J]. 自动化学报,2016,42(1):13-25.
APA 丁其川,熊安斌,赵新刚,&韩建达.(2016).基于表面肌电的运动意图识别方法研究及应用综述.自动化学报,42(1),13-25.
MLA 丁其川,et al."基于表面肌电的运动意图识别方法研究及应用综述".自动化学报 42.1(2016):13-25.
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