著者
北山 真平 佐々木 実 伊藤 聡 安田 晴信 小嶋 俊史
出版者
The Japan Society of Applied Electromagnetics and Mechanics
雑誌
日本AEM学会誌 (ISSN:09194452)
巻号頁・発行日
vol.22, no.2, pp.318-323, 2014 (Released:2014-10-06)
参考文献数
7

Motions estimation utilizing EEG can develop devices supporting the elderly and disabilities. This paper investigated a possibility of limb motion estimation using Bereitschafts Potential (BP). BP means voltage variation of EEG just before motions. To estimate, neural network was introduced. Three types of processed signal were used as the input. The types of signal processing were FFT, increment and normalization. The best signal processing of them was normalization, and the accuracy rate was 89.0%.