The Analysis of Hand Movement Distinction Based on Relative Frequency Band Energy Method
Joint Authors
Zhang, Yanyan
Teng, Chaolin
Sun, Zhongjiang
Wang, Jue
Wang, Gang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
For the purpose of successfully developing a prosthetic control system, many attempts have been made to improve the classification accuracy of surface electromyographic (SEMG) signals.
Nevertheless, the effective feature extraction is still a paramount challenge for the classification of SEMG signals.
The relative frequency band energy (RFBE) method based on wavelet packet decomposition was proposed for the prosthetic pattern recognition of multichannel SEMG signals.
Firstly, the wavelet packet energy of SEMG signals in each subspace was calculated by using wavelet packet decomposition and the RFBE of each frequency band was obtained by the wavelet packet energy.
Then, the principal component analysis (PCA) and the Davies-Bouldin (DB) index were used to perform the feature selection.
Lastly, the support vector machine (SVM) was applied for the classification of SEMG signals.
Our results demonstrated that the RFBE approach was suitable for identifying different types of forearm movements.
By comparing with other classification methods, the proposed method achieved higher classification accuracy in terms of the classification of SEMG signals.
American Psychological Association (APA)
Zhang, Yanyan& Wang, Gang& Teng, Chaolin& Sun, Zhongjiang& Wang, Jue. 2014. The Analysis of Hand Movement Distinction Based on Relative Frequency Band Energy Method. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034562
Modern Language Association (MLA)
Zhang, Yanyan…[et al.]. The Analysis of Hand Movement Distinction Based on Relative Frequency Band Energy Method. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1034562
American Medical Association (AMA)
Zhang, Yanyan& Wang, Gang& Teng, Chaolin& Sun, Zhongjiang& Wang, Jue. The Analysis of Hand Movement Distinction Based on Relative Frequency Band Energy Method. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1034562
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034562