Automatic misclassification rejection for LDA classifier using ROC curves
Menon, Radhika and Di Caterina, Gaetano and Lakany, Heba and Petropoulakis, Lykourgos and Conway, Bernard and Soraghan, John; (2015) Automatic misclassification rejection for LDA classifier using ROC curves. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp. 482-485. ISBN 978-1-4244-9270-1 (https://doi.org/10.1109/EMBC.2015.7318404)
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Abstract
This paper presents a technique to improve the performance of an LDA classifier by determining if the predicted classification output is a misclassification and thereby rejecting it. This is achieved by automatically computing a class specific threshold with the help of ROC curves. If the posterior probability of a prediction is below the threshold, the classification result is discarded. This method of minimizing false positives is beneficial in the control of electromyography (EMG ) based upper-limb prosthetic devices. It is hypothesized that a unique EMG pattern is associated with a specific hand gesture. In reality, however, EMG signals are difficult to distinguish, particularly in the case of multiple finger motions, and hence classifiers are trained to recognize a set of individual gestures. However, it is imperative that misclassifications be avoided because they result in unwanted prosthetic arm motions which are detrimental to device controllability. This warrants the need for the proposed technique wherein a misclassified gesture prediction is rejected resulting in no motion of the prosthetic arm. The technique was tested using surface EMG data recorded from thirteen amputees performing seven hand gestures. Results show the number of misclassifications was effectively reduced, particularly in cases with low original classification accuracy.
ORCID iDs
Menon, Radhika ORCID: https://orcid.org/0000-0001-9640-2052, Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897, Lakany, Heba ORCID: https://orcid.org/0000-0003-3079-0392, Petropoulakis, Lykourgos ORCID: https://orcid.org/0000-0003-3230-9670, Conway, Bernard ORCID: https://orcid.org/0000-0002-0069-0131 and Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391;-
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Item type: Book Section ID code: 53897 Dates: DateEventAugust 2015Published31 May 2015AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 28 Jul 2015 10:22 Last modified: 16 Sep 2024 00:28 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/53897