Englehart, Kevin - Department of Electrical and Computer Engineering, University of New Brunswick

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Englehart, Kevin - Department of Electrical and Computer Engineering, University of New Brunswick

Chan ADC 19 Covering letter
A MICROPROCESSOR-BASED MULTIFUNCTION MYOELECTRIC CONTROL SYSTEM Bernard Hudgins, Kevin Englehart, Philip Parker and Robert N. Scott
Abstract -A hidden Markov model based classifier is proposed in this paper to perform automatic speech recognition using
Figure 1 A looped fiber optic sensor with loss zones on one side.
A Wavelet Based Continuous Classification Scheme for Multifunction Myoelectric Control
STEADY-STATE AND DYNAMIC MYOELECTRIC SIGNAL COMPRESSION USING EMBEDDED ZERO-TREE WAVELETS
TIME-FREQUENCY REPRESENTATION FOR CLASSIFICATION OF THE TRANSIENT MYOELECTRIC SIGNAL
A Dynamic Feedforward Neural Network for Subset Classi cation of Myoelectric Signal Patterns
Myoelectric Signal Classification Using a Finite Impulse Response Neural Network
Classification of the Myoelectric Signal using Time-Frequency Based Representations
IMPROVING MYOELECTRIC SIGNAL CLASSIFICATION USING WAVELET PACKETS AND PRINCIPAL COMPONENTS ANALYSIS
V,sk , Wavelets in biomedical engineering, VttsjR BP $B8I${sj et$t$t, vol. 23, pp. 531-VjAZR F7, Mechanisms of planning and problem solving in the brain, sY8s${sj $BR{$t{R
Department of Electrical and Computer Engineering University of New Brunswick
Classi cation of Myoelectric Signal Burst Patterns using a Dynamic Neural Network