EMG classification for prehensile postures using cascaded architecture of neural networks with self-organizing maps
- 22 March 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (10504729) , 1497-1502
- https://doi.org/10.1109/robot.2003.1241803
Abstract
Electromyograph (EMG) features have the properties of large variations and nonstationary issue in the classification of EMG is the classifier design. The major goal of this paper is to develop a classifier for the classification of eight kinds of prehensile postures to achieve high classification rate and reduce the online learning time. The cascaded architecture of neural networks with feature map (CANFM) is proposed to achieve the goal. The CANFM is composed of two kinds of neural networks: an unsupervised Kohonen's self-organizing map (SOM), and a supervised multi-layer feedforward neural network. Experimental results show that by extracting EMG features, forth-order autoregressive model (ARM) and histogram of EMG signals (IEMG), as inputs, the proposed CANFM can obtain and remain high classification rates compared with other classifiers, including k-nearest neighbor method (K-NN), fuzzy K-NN algorithm, and back-propagation neural network (BPNN) in several online testing.Keywords
This publication has 9 references indexed in Scilit:
- Off-line recognition of a handwritten Chinese zither scorePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A wavelet-based continuous classification scheme for multifunction myoelectric controlIEEE Transactions on Biomedical Engineering, 2001
- Fuzzy EMG classification for prosthesis controlIEEE Transactions on Rehabilitation Engineering, 2000
- EMG feature evaluation for movement control of upper extremity prosthesesIEEE Transactions on Rehabilitation Engineering, 1995
- A new strategy for multifunction myoelectric controlIEEE Transactions on Biomedical Engineering, 1993
- The self-organizing mapProceedings of the IEEE, 1990
- A fuzzy K-nearest neighbor algorithmIEEE Transactions on Systems, Man, and Cybernetics, 1985
- EMG Pattern Analysis and Classification for a Prosthetic ArmIEEE Transactions on Biomedical Engineering, 1982
- A microprocessor system for multifunctional control of upper-limb prostheses via myoelectric signal identificationIEEE Transactions on Automatic Control, 1978