Facial neuromuscular signal classification by means of least square support vector machine for MuCI
Facial neuromuscular signal has recently drawn the researchers' attention to its outstanding potential as an efficient medium for Muscle Computer Interface (MuCI) applications. The proper analysis of such electromyogram (EMG) signals is essential in designing the interfaces. In this article, a...
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| Main Authors: | , , |
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| Format: | Article |
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Elsevier
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/55248/ http://dx.doi.org/10.1016/j.asoc.2015.01.034 |
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