A comparison of classification based confidence metrics for use in the design of myoelectric control systems

Abstract

In many pattern recognition applications, confidence scores are used to extract more information than discrete class membership alone, yet they have not traditionally been leveraged in myoelectric control. In this work, the confidence scores of eight common classification schemes were examined. Their role in rejecting inadvertent motions is investigated… (More)
DOI: 10.1109/EMBC.2015.7320072

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Cite this paper

@article{Scheme2015ACO, title={A comparison of classification based confidence metrics for use in the design of myoelectric control systems}, author={Erik Scheme and Kevin B. Englehart}, journal={2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}, year={2015}, pages={7278-7283} }