ブレイン・マシン／コンピュータ・インターフェイス BMI/BCI

P1-2-216 聴覚注意を用いた日常生活におけるブレイン・マシン・インタフェースの開発 An auditory ERP-based BMI for a universal controller in a real environment ○石堂なつみ1,2, 森本智志2, 兼村厚範2, 丸山雅紀2, 川鍋一晃2, 石井信2,3, 猿渡洋1, 鹿野清宏1 ○Natsumi Ishido1,2, Satoshi Morimoto2, Atsunori Kanemura2, Masaki Maruyama2, Motoaki Kawanabe2, Shin Ishii2,3, Hiroshi Saruwatari1, Kiyohiro Shikano1 NAIST・情報・音情報処理学1, ATR・脳情報解析研究所2, 京都大・情報・システム3 Dept Information, NAIST, Nara1, Neural Information Analysis Laboratories, ATR, Kyoto2, Dept Information, Univ of Kyoto, Kyoto3 Background and aim: In recent years, Brain-Machine Interface (BMI),which is a direct communication pathway between the brain and anexternal device, has been expected as a method to control electricalappliances without using hands or any other body parts. However, sincemost of past experiments were only held in restrictive conditions, it isnecessary to develop a BMI system which can perform well even if subjectare in a natural daily environment. On the other hands, previous ERPstudies showed that, during a oddball paradigm, a large positive ERPcomponent, the P300, arose more than 300ms after the onset of theattended beep. We considered that the auditory P300 would be useful fordaily BMI, because people often attend to the appliances when they wantto use them. We also expected that reducing distractions caused by theenvironment would improve the BMI performance. Method: We conducted the experiment with an oddball paradigm in theexperimental facility which imitated the actual living environment. Inthe experiment we presented three kinds of beep stimuli, subjects wereinstructed to attend and count the target stimulus. We classifiedaveraged P300 with Liner Discriminant Analysis. In addition, weimplemented the noise discarding system to avoid attention distraction. Results: There were significant differences between target ERP data andnon-target ERP data. Furthermore, the classification performance wasimproved by using the noise discarding system. Conclusion: Through our research, we confirmed the usefulness ofauditory ERP-basedBMI in the daily environment.

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