Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : May 29, 2024 - June 01, 2024
The Hybrid Brain Computer Interface system (hBCI), which combines two or more Electroencephalography(EEG) modes, has flourished due to the development of instruments and methods. In particular, hBCI combining Steady State Visually Evoked Potentials (SSVEP) and Motor Imagery (MI) has attracted attention for its detection stability and multi-class classification performance. However, the accuracy of simultaneous detection has been suggested to decrease due to the interference of EEG modes. In this study, we evaluate the effect of EEG interference in SSVEP × MI hBCI and investigate the optimal SSVEP frequency setting.
