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Hierarchical projection regression for online estimation of elbow joint angle using EMG signals
Chen Y(陈洋); Zhao XG(赵新刚); Han JD(韩建达)
Department机器人学研究室
Source PublicationNEURAL COMPUTING & APPLICATIONS
ISSN0941-0643
2013
Volume23Issue:3-4Pages:1129-1138
Indexed BySCI ; EI
EI Accession number20134016797220
WOS IDWOS:000324794200057
Contribution Rank2
KeywordElectromyogram (Emg) Signals Exoskeletons Hierarchical Projection Regression K-means Clustering Linear Discriminant Analysis
AbstractExoskeletons offer great facilities to the elderly and disabled people with respect to extending their moving ranges and reacting to certain physical activities. Electromyogram (EMG) signals, which are derived from the neuromuscular system, provide an important access to the human-robot interface. On one hand, EMG signals can be used for real-time estimation of the motion intention of human body, e.g., the current joint angle status. On the other hand, however, the process of the mass EMG data, which are captured instantaneously from skin surface, challenges the state-of-the-art technology. Because its nonstationary and randomness, it is difficult to extract the valuable and stable features from the raw EMG signals. This paper investigates into the learning process of high dimensional EMG signals with a hierarchical mechanism that projects the original data into a lower feature space to achieve a local refined mapping from the EMG signals to the motion states of the human body. This hierarchically projected regression algorithm constructs incrementally a tree-based knowledge library, whose components represent local regression models. The components will be retrieved online efficiently and contribute to the estimation of the motion states. A great number of experiments are carried out to evaluate the accuracy of this novel algorithm.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence
WOS KeywordEXOSKELETON ROBOT ; MUSCLE FORCES ; MOTION ASSIST ; MOMENTS ; MODEL
WOS Research AreaComputer Science
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10357
Collection机器人学研究室
Corresponding AuthorChen Y(陈洋)
Affiliation1.School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Chen Y,Zhao XG,Han JD. Hierarchical projection regression for online estimation of elbow joint angle using EMG signals[J]. NEURAL COMPUTING & APPLICATIONS,2013,23(3-4):1129-1138.
APA Chen Y,Zhao XG,&Han JD.(2013).Hierarchical projection regression for online estimation of elbow joint angle using EMG signals.NEURAL COMPUTING & APPLICATIONS,23(3-4),1129-1138.
MLA Chen Y,et al."Hierarchical projection regression for online estimation of elbow joint angle using EMG signals".NEURAL COMPUTING & APPLICATIONS 23.3-4(2013):1129-1138.
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