Brain-Machine Interface

The brain-machine interface (BMI) is a system to control robots or computers using brain activities.

We have attempted to construct a high-precision BMI by developing accurate brain imaging methods that integrate multimodal brain measurements, such as magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and near-infrared spectroscopy (NIRS).

We have also developed a real-time system to analyze brain measurement data for BMI.

We participated in a joint research project with Honda Research Institute Japan and Shimadzu Corporation, “Robot Manipulation by Brain Activity using EEG/NIRS Simultaneous Measurement Data,” which was introduced by the press in March 2009.

In our laboratory, we can use real-time systems for large measurement equipment, such as fMRI and MEG, and small and portable measurement equipment, such as EEG and NIRS.