NASA NTRS · 20190000796
System and Method for Training of State-Classifiers
Abstract
Method and systems are disclosed for training state-classifiers for classification of cognitive state. A set of multimodal signals indicating physiological responses of an operator are sampled over a time period. A depiction of operation by the operator during the time period is displayed. In response to user input selecting a cognitive state for a portion of the time period, the one or more state-classifiers are trained. In training the state-classifiers, the set of multimodal signals sampled in the portion of the time period are used as input to the one or more state-classifiers and the selected one of the set of cognitive states is used as a target result to be indicated by the one or more state-classifiers.
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Stephens, Chad L., Harrivel, Angela R., Pope, Alan T., Prinzel, Lawrence J. III. 2019-01-29. System and Method for Training of State-Classifiers. https://ntrs.nasa.gov/citations/20190000796
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