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5 results on '"Lovely, D F"'

2. Hidden Markov Model Classification of Myoelectric Signals in Speech

Author

NEW BRUNSWICK UNIV FREDERICTON, Chan, A. D., Englehart, K., Hudgins, B., Lovely, D. F., NEW BRUNSWICK UNIV FREDERICTON, Chan, A. D., Englehart, K., Hudgins, B., and Lovely, D. F.

Abstract

A hidden Markov model based classifier is proposed in this paper to perform automatic speech recognition using myoelectric signals from the muscles of vocal articulation. The classifier's resilience to temporal variance is compared to a linear discriminant analysis classifier that was used in a pervious study. Speech recognition was performed, using five channels of myoelectric signals, on isolated words from a 10-word vocabulary. Temporal variance was induced by temporally misaligning data from the test set, with respect to the training set. When compared to the LDA classifier, the hidden Markov model classifier demonstrated a markedly lower variation in classification error due to the temporal misalignment. Characteristics of the hidden Markov model MES classifier suggest that it would effectively complement a conventional acoustic speech recognizer, in a multi-modal speech recognition system.

Published
2001

5. Operator performance in myoelectric control of a multifunction prosthesis stimulator.

Author

Daley TL, Scott RN, Parker PA, and Lovely DF

Subjects
Data Collection, Evaluation Studies as Topic, Forearm physiology, Humans, Movement physiology, Elbow physiology, Hand physiology, Microcomputers, Muscle Contraction physiology, Prostheses and Implants
Abstract

In this paper, a microcomputer-based system is described which facilitates the evaluation of different myoelectric control strategies. The system is based on an IBM-PC/AT microcomputer which generates and develops tracking targets, processes and displays the operator's response, and computes tracking performance. The dynamics of the prosthetic elbow, hand, and forearm are simulated in software which drives a stick figure in response to the operator's input. Performance is measured in terms of integral absolute error in target-response match. Control strategies to simulate different systems are easily modified through software and are evaluated under identical conditions. As a test of this evaluation system and to obtain some comparative data on control strategies, four strategies which are either in use or proposed for use are evaluated. The test procedure is divided into a control training session and a control evaluation session. Data collected from groups of three normally-limbed subjects per strategy over a period of five control evaluation sessions are presented. The results of this evaluation are discussed and improvements in the evaluation system suggested.

Published
1990
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