Finger Movement Detection by Motor Imagery Tasks Based on EEG Signal

カテゴリ: 部門大会

論文No: PS2-13

グループ名: 【C】2022年電気学会電子・情報・システム部門大会

発行日: 2022/08/24

タイトル(英語): Finger Movement Detection by Motor Imagery Tasks Based on EEG Signal

著者名: Liu Zhongling（東京工業大学）,Li Pengcheng（東京工業大学）,Connelly Akima（東京工業大学）,Rangpong Phurin（東京工業大学）,Wilaiprasitporn Theerawit（Vidyasirimedhi Institute of Science and Technology）,Yagi Tohru（東京工業大学）

著者名(英語): Zhongling Liu (Tokyo Institute of Technology),Pengcheng Li (Tokyo Institute of Technology),Akima Connelly (Tokyo Institute of Technology),Phurin Rangpong (Tokyo Institute of Technology),Theerawit Wilaiprasitporn (Vidyasirimedhi Institute of Science and Technology),Tohru Yagi (Tokyo Institute of Technology)

キーワード: Brain-computer interface (BCI)|Electroencephalography (EEG)|Motor imagery (MI)|Finger movement

要約(日本語): Previous studies have shown that differences in EEG signals of individual finger movements during motor execution (ME) tasks are distinguishable. Thus, it’s possible to detect the distinction between different hand movements. Motor imagery (MI) is the imagining of performing and exercising without actual physical movement. If an imagery of finger movement can be detected, this study can be applied to help disabled people operate their prostheses more flexibly. In this research, we would like to distinguish three hand movements during MI and ME tasks based on EEG, which are grasping, pinching, and the extension. Different from the grasping movement which can hold some comparatively large objects, pinching by two fingers would make it easier to locate some tiny objects such as string.