SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks
نویسندگان
چکیده
4 アブストラクト 脳と機械間で直接相互作用させる BMI(Brain-Machine Interface)は身体障害者の生活の質を改善する目的とし て大変有効な手段である.本研究では,被験者にメンタルタスクを課すことでロボットアームを制御する BMIを 構築した.本実験で用いるメンタルタスクは4つであり,これら4つのタスク識別率は最も高い時で 70% に達し た.実験では,これらのメンタルタスクを規定通りの順番で課す事により,ロボットアームをワークスペース上の 4つの地点に移動させる.本実験では,被験者には予め予備実験で練習を行ってもらい,その後,実験を行った. 結果として,リアルタイムで被験者はロボットアームを制御することができ,さらにシステム改善後はアームで 物を掴み移動させるといった,より複雑な作業も行うことが出来た.これらのインターフェイスは実社会の身体 障害者へのリハビリや活動の補助といった面で大変有効であると考えられる.
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عنوان ژورنال:
- Neurocomputing
دوره 151 شماره
صفحات -
تاریخ انتشار 2015