交通・物流部門大会講演論文集
Online ISSN : 2424-3175
セッションID: 2309
会議情報
2309 機械学習を用いた小型NIRS-BCIシステムの開発
下瀬 あかり柳澤 一機綱島 均
著者情報
会議録・要旨集 フリー

詳細
抄録
Brain Computer Interface (BCI) is a system that controls machines and devices by extracting neural information from human brain activity and it is expected for nursing robot such as an artificial hand. The present study focuses on BCI that uses near-infrared spectroscopy (NIRS). However a conventional detection method of brain activity is simple thresholding. Therefore, it is difficult obtain highly accurate control operations. In this study, we developed an NIRS-BCI system with the neural network. This system can detect the intention from human brain activity and output on/off signal in real time. Performance evaluation of the sysem showed the correct rate using virtual NIRS signal was 97.9% and the average correct rate using NIRS signal measured from 10 participants was 61.8%.
著者関連情報
© 2015 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top