Hyunseok Kook

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This paper introduces parametric multichannel fusion models to exploit the different but complementary brain activity information recorded from multiple channels in order to accurately classify differential brain activity into their respective categories. A parametric weighted decision fusion model and two parametric weighted data fusion models are(More)
A strategy is developed to dynamically fuse classification information from multiple channels in order to accurately classify brain activity elicited by external stimuli. The strategy is dynamic in the sense that different channels are selected at different time-instants. The channels are ranked at different time-instants according to their classification(More)
A complete signal processing strategy is presented to detect and precisely recognize tongue movement by monitoring changes in airflow that occur in the ear canal. Tongue movements within the human oral cavity create unique, subtle pressure signals in the ear that can be processed to produce commands signals in response to that movement. Once recognized,(More)
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