Comparison of wrist motion classification methods using surface electromyogram

Title
Comparison of wrist motion classification methods using surface electromyogram
Authors
이상민
Keywords
Gaussian? mixture? model? k­nearest neighbor? quadratic? discriminant analysis? linear discriminant analysis? electromyogram (EMG)? pattern?classification? feature?extraction
Issue Date
2013
Publisher
JOURNAL OF CENTRAL SOUTH UNIVERSITY
Series/Report no.
JOURNAL OF CENTRAL SOUTH UNIVERSITY ; Vol20 no.4 Startpage 960 Endpage 968
Abstract
The? Gaussian? mixture? model (GMM), k­nearest neighbor (k­NN), quadratic? discriminant analysis? (QDA), and? linear discriminant analysis? (LDA) were compared to classify wrist motions? using surface? electromyogram (EMG). Effect of feature? selection?in EMG signal processing was also verified by comparing classification?accuracy of each?feature, and the enhancement of classification?accuracy by normalization?was confirmed. EMG signals?were?acquired from two electrodes?placed?on the forearm of twenty eight healthy subjects?and?used?for recognition?of wrist motion. Features were?extracted?from the?obtained EMG signals?in?the? time domain and were applied to classification?methods. The difference?absolute mean value (DAMV), difference absolute standard? deviation?value?(DASDV), mean absolute?value?(MAV), root mean?square?(RMS) were?used?for composing 16?double?features?which? were combined of two channels. In?the classification?methods, the highest accuracy of classification showed in the GMM. The most effective?combination?of classification method?and?double feature?was (MAV, DAMV) of GMM and its?classification accuracy was? 96.85%. The results of normalization were better than those of non­normalization in GMM, k­NN, and LDA.
URI
http://dspace.inha.ac.kr/handle/10505/33444
ISSN
2095-2899
Appears in Collections:
College of Engineering(공과대학) > Electronic Engineering (전자공학) > Journal Papers, Reports(전자공학 논문, 보고서)
Files in This Item:
35581.pdfDownload

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse