脳波データを用いた精神状態の推定および分類について

概要

論文の詳細を見る
We present a method to realize the goal of estimating and classifying human mental states by applying the self-organizing (feature) map: SOM to the data which uses the alpha wave and beta wave component of EEG. The data are constructed by two quantities which reflect the difference of brain activation and the level of brain activity. We performed a preliminary experiment in which five different mental states were estimated to examine the usefulness of this technique we present. As a result, SOM properly classified the state of brain activities originating in the difference in human mental states. It is also suggested that when we know which unit on the map the given EEG data belonged to, it is possible that we could estimate in what mental state we got the data.
高知学園短期大学の論文
2006-02-15