System Development of Motor Imagery BCI : An Approach from The Human Side

Abstract

Non-invasive brain-computer interface (BCI) uses mainly electroencephalography (EEG) to operate external devices. In particular, BCI is needed for people with severe physical disabilities, such as ALS, because they are unable to move their bodies other than their brains; BCI that uses Motor Imagery (MI) requires the identification of obvious ERPs associated with MI. In this study, a system focused on BCI-training and MI support was developed, and EEG was measured after system use. The system is characterized by the presentation of a simulated hand animation to support MI of left and right hand grasping. As a result, significant ERPs were confirmed in three subjects, however, it is possible that some subjects may not be able to observe ERPs if the number of subjects is increased. Therefore, the BCI-training needs to be carefully developed. In particular, it is necessary to consider teaching methods that facilitate subjects to gain control over their own mental states and internal sensations. However, there is no knowledge on how to teach BCI-training. Therefore, the author has conceived of a system that enables participants to simultaneously train themselves and acquire knowledge about BCI control in BCI-training.

Keywords: BCI, training system, motor imagery, knowledge acquisition, ERP

DOI: 10.54941/ahfe1003123