EEG Based Detection of Three Hand Motor Imagery Task

Brain-computer interfaces (BCIs) deepen the connection between humans and machines. In BCI research, motor imagery (MI), which means picturing a motion without physical movement, has gathered much attention. MI studies have detected the movement within the same upper limb, such as hand opening and closing and flexion of the forearm. However, there is little research on MI related to different ways of picking things up. In this research, three hand gestures related to picking up and release are detected: five-finger extension, five-finger grasping and two-finger pinching. Because the three hand MI tasks have different difficulty levels, the influence of performance difficulty is also discussed. This research could be used to support motor rehabilitation for stroke patients.