Confidence-Based Rejection for Improved Pattern Recognition Myoelectric Control
Authors:
- 11 January 2013
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 60 (6) , 1563-1570
Abstract
This study describes a novel myoelectric control scheme that is capable of motion rejection. As an extension of the commonly used linear discriminant analysis (LDA), this system generates a confidence score for each decision, providing the ability to reject those with a score below a selected threshold. The thresholds are class-specific and affect only the rejection characteristics of the associated class. Furthermore, because the rejection stage is implemented using the outputs of the LDA, the active motion classification accuracy of the proposed system is shown to outperform that of the LDA for all values of rejection threshold. The proposed scheme was compared to a baseline LDA-based pattern recognition system using a real-time Fitts' law-based target acquisition task. The use of velocity-based myoelectric control using the rejection classifier is shown to obey Fitts' law, producing linear regression fittings with high coefficients of determination (R2 > 0.943). Significantly higher (p <; 0.001) throughput, path efficiency, and completion rates were observed with the rejection-capable system for both able-bodied and amputee subjects.Keywords
This publication has 26 references indexed in Scilit:
- Selective Classification for Improved Robustness of Myoelectric Control Under Nonideal ConditionsIEEE Transactions on Biomedical Engineering, 2011
- Fluctuating emg signals: Investigating long-term effects of pattern matching algorithms2010
- Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered ProsthesisIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2010
- Classification with reject optionCanadian Journal of Statistics, 2006
- Adaptable EMG Prosthetic Hand using On-line Learning Method -Investigation of Mutual Adaptation between Human and Adaptable Machine2006
- The interaction between classification and reject performance for distance-based reject-option classifiersPattern Recognition Letters, 2006
- Analysis of error-reject trade-off in linearly combined multiple classifiersPattern Recognition, 2004
- A robust, real-time control scheme for multifunction myoelectric controlIEEE Transactions on Biomedical Engineering, 2003
- On the error-reject trade-off in biometric verification systemsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- On optimum recognition error and reject tradeoffIEEE Transactions on Information Theory, 1970