Oskoei, MA and Hu, H and Gan, JQ (2013) Feature-channel subset selection for optimising myoelectric human-machine interface design. International Journal of Biomechatronics and Biomedical Robotics, 2 (2/3/4). pp. 195-208. DOI https://doi.org/10.1504/ijbbr.2013.058708
Oskoei, MA and Hu, H and Gan, JQ (2013) Feature-channel subset selection for optimising myoelectric human-machine interface design. International Journal of Biomechatronics and Biomedical Robotics, 2 (2/3/4). pp. 195-208. DOI https://doi.org/10.1504/ijbbr.2013.058708
Oskoei, MA and Hu, H and Gan, JQ (2013) Feature-channel subset selection for optimising myoelectric human-machine interface design. International Journal of Biomechatronics and Biomedical Robotics, 2 (2/3/4). pp. 195-208. DOI https://doi.org/10.1504/ijbbr.2013.058708
Abstract
This paper proposes a feature-channel subset selection method for obtaining an optimal subset of features and channels of myoelectric human-machine interface applied to classify upper limb?s motions using multi-channel myoelectric signals. It employs a multi-objective genetic algorithm as a search strategy and either data separability index or classification rate as an objective function. A wide range of features in time, frequency, and time-scale domains are examined, and a modification that reduces the bias of cardinality in the separability index is evaluated. The proposed method produces a compact subset of features and channels, which results in high accuracy by linear classifiers without a need of preliminary tailor-made adjustments.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | myoelectric HMI; feature subset selection; multi-objective genetic algorithm; Davies-Bouldin index; DBI; myoelectric HMI; human?machine interface; interface design; feature subset selection; multi?objective genetic algorithms; MOGA; Davies?Bouldin index; DBI; upper limb motions; linear classifiers |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Sep 2014 10:41 |
Last Modified: | 16 May 2024 18:48 |
URI: | http://repository.essex.ac.uk/id/eprint/9267 |