CLASSIFICATION OF 52 HAND POSTURES AND MOVEMENTS USING THE LDA AND LS-SVM CLASSIFIERS APPLICABLE TO MYOELECTRIC HAND PROSTHESES

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NAZEMI AFARIN; MALEKI ALI

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Journal: IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING Year:2015 | Volume:8 | Issue:4 Page(s): 412-421

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Title

CLASSIFICATION OF 52 HAND POSTURES AND MOVEMENTS USING THE LDA AND LS-SVM CLASSIFIERS APPLICABLE TO MYOELECTRIC HAND PROSTHESES

Author(s)

NAZEMI AFARIN | MALEKI ALI | Issue Writer Certificate

Keywords

EXTRACTION OF MOTOR COMMANDSQ2

HAND PROSTHESISQ2

LDA CLASSIFIERQ3

LS-SVM CLASSIFIERQ2

SURFACE ELECTROMYOGRAPHY SIGNALQ2

Abstract

Classification of distal limb movements based on surface electromyography (sEMG) of proximal muscles is an important issue in the control of myoelectric HAND PROSTHESIS. In most of previous studies, classification of a limited number of hand motions is investigated. In this paper, we have used NINAPRO database containing kinematics and sEMG of upper limbs while performing 52 finger, hand and wrist movements. We evaluated performance of LDA and LS-SVM with RBF kernel classifiers using different combination of features. First by windowing the signal with two different methods, the major part of the signal was selected and eight various temporal features (MAV, IAV, RMS, WL, E, ER1, ER2, CC) were extracted. Then performance of each classifier with single, double and multiple combinations of features was evaluated. For LDA CLASSIFIER, the best average classification accuracy of 84.23% was achived for first windowing method and MAV (or IAV)+CC features, The corresponding accuracy for LS-SVM CLASSIFIER with second windowing method and IAV+MAV+RMS+WL features, was 85.19%.

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APA: Copy

NAZEMI, AFARIN, & MALEKI, ALI. (2015). CLASSIFICATION OF 52 HAND POSTURES AND MOVEMENTS USING THE LDA AND LS-SVM CLASSIFIERS APPLICABLE TO MYOELECTRIC HAND PROSTHESES. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, 8(4), 412-421. SID. https://sid.ir/paper/81649/en

Vancouver: Copy

NAZEMI AFARIN, MALEKI ALI. CLASSIFICATION OF 52 HAND POSTURES AND MOVEMENTS USING THE LDA AND LS-SVM CLASSIFIERS APPLICABLE TO MYOELECTRIC HAND PROSTHESES. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING[Internet]. 2015;8(4):412-421. Available from: https://sid.ir/paper/81649/en

IEEE: Copy

AFARIN NAZEMI, and ALI MALEKI, “CLASSIFICATION OF 52 HAND POSTURES AND MOVEMENTS USING THE LDA AND LS-SVM CLASSIFIERS APPLICABLE TO MYOELECTRIC HAND PROSTHESES,” IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, vol. 8, no. 4, pp. 412–421, 2015, [Online]. Available: https://sid.ir/paper/81649/en

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