[4L3-OS-15] OS-15

[4L3-OS-15-04] Word Recognition using speech-imagery EEG

〇Motoharu Yamao¹, Satoka Hirata¹, Yurie Iribe¹, Kentaro Fukai², Kouichi Katsurada², Tsuneo Nitta³ (1. Aichi Prefectural University, 2. Tokyo University of Science, 3. Waseda University / Toyohashi University of Technology)

Keywords:speech-imagery EEG, Brain Computer Interface, word recognition

Previous research has suggested that humans manipulate the machine using their electroencephalogram called BCI (Brain Computer Interface). However, there are not existed effective methods for speech-imagery recognition. In this report, we propose the word recognition method using kurtosis and power spectral entropy extracted from EEG signal of continuously speech-imagery. The word recognition of ten numbers was conducted in our experiment, the average accuracy of 82.6% was obtained. It is clear that these features are effective for word recognition using EEG signal of continuously speech-imagery.