講演抄録/キーワード |
講演名 |
2009-11-12 17:10
NIRS-based BCIのためのファジィ推論に基づく信号認識手法の開発 ○雑賀広記・三浦直樹・王 碩玉(高知工科大) NC2009-60 |
抄録 |
(和) |
近赤外線分光法(NIRS)を用いたBrain Computer Interface (BCI)実用化のためには,ベースラインの変動・脳活動による信号変化量の減衰といったNIRS信号特有の時変特性を考慮する必要がある.本研究では、ファジィ推論に基づくNIRS信号認識手法の提案を行い,BCIシステムへの適用可能性について検討した. |
(英) |
In order to develop a near-infrared spectroscopy (NIRS) based brain-computer interface (BCI) system, we proposed a method to recognize task-related signal changes of NIRS signal using a fuzzy reasoning. Because a NIRS signal has several time-varying characteristics such as a fluctuation during baseline resting state and attenuation of task-related signal changes, the method reasons brain activity from relative signal changes by distance-type fuzzy reasoning method and outputs a switching signal. From an evaluation result, it was confirmed that the method outputted the switching signal in accordance with the task-related signal change. |
キーワード |
(和) |
BCI / NIRS / ファジィ / near‐infrared spectroscopy / Brain-Computer Interface / / / |
(英) |
BCI / Brain-Computer Interface / NIRS / Fuzzy / near‐infrared spectroscopy / / / |
文献情報 |
信学技報, vol. 109, no. 280, NC2009-60, pp. 55-58, 2009年11月. |
資料番号 |
NC2009-60 |
発行日 |
2009-11-05 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
NC2009-60 |