Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review.
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DOI: 10.1088/1741-2552/14/1/011001
Abstract: Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human-computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently in the literature,… read more here.
Keywords: support vector; vector machines; physiological patterns; computer interaction ... See more keywords