拡張現実感技術を用いたBrain-Computer Interfaceの基礎的検討と識別精度向上手法の提案

概要

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Brain-computer interface (BCI) has been studied so that handicapped people can communicate and control their environments. However, conventional BCIs are required to be decided what objects are displayed as target devices in advance. BCI combined with Augmented Reality (AR) can display suitable choices in consideration of real space and allows users to control devices intuitively. However, little is known how AR system affects accuracy of BCIs and major causes of the influence are considered as "the background of AR-BCI derived from scenery" and "the change of the number of target choices". In this research we confirm these two effects, and develop the new method using the non-target object for the situation of few target choices. The results show the background has no effect, and the change of the target decreases the accuracy however our method improves the accuracy of the AR-BCI.
The Institute of Electrical Engineers of Japanの論文