A Novel Feature Selection Method for Affective Recognition Based on Pulse Signal


For the problem of affective recognition from pulse signal, a new feature selection method which combines correlation analysis with max-min ant colony algorithm is proposed in this paper, and stable feature subsets with good performance are found to construct affective recognition model. Firstly, sequential backward selection (SBS) is used for sorting of… (More)
DOI: 10.1109/ISCID.2011.36


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