Decoding of Three Hand Motor Imagery Tasks with Different Performance Difficulties

カテゴリ: 部門大会

論文No: SS3-4

グループ名: 【C】2023年電気学会電子・情報・システム部門大会

発行日: 2023/08/23

タイトル(英語): Decoding of Three Hand Motor Imagery Tasks with Different Performance Difficulties

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)|Hand movement

要約(日本語): Brain computer interface (BCI) research can build stronger connections between humans and machines. In BCI field, there has been research for motor imagery (MI) of different tasks within the same limb, such as grasping and flexion. However, there is little research about MI for different ways of picking things up. The first aim of this research is to detect the differences in MI of 3 gestures: five-finger-extension, five-finger-grasping and two-finger-pinching, which can be applied to prosthesis for helping disabled people move more flexibly. Since these 3 gestures have different performing complexities for MI, the second aim of this research is to investigate the MI performance based on task difficulties to find either easy-performing or difficult tasks has better recognition during MI.