14. The method of claim 11 , further comprising: implementing a fusion strategy during the training to generate an enhanced classifier, wherein the determining includes determining the state data based on output data received from the enhanced classifier.
15. The method of claim 14 , wherein the implementing includes: dividing a training data set into at least two subsets; employing the training data set to train a first base classifier, wherein the first base classifier includes the first support vector machine classifier; employing the first base classifier to test a first subset of the at least two subsets and determine first data indicative of a first set of incorrectly detected samples; employing a second base classifier to test the first set of incorrectly detected samples and a second subset of the at least two subsets, and determine second data indicative of a second set of incorrectly detected samples; and combining the first base classifier and the second base classifier based on ensemble learning.