Brain-machine interface

Japanese

Chinese

Research Topic: EEG Classification Using Non-Invasive Devices

Brain-Machine Interface (BMI) technology provides an interface for "human-machine" collaboration using brainwaves, and is utilized in fields such as healthcare and rehabilitation. Future applications are also expected in areas like factory work assistance and unmanned vehicle operation. However, many previous studies on BMI have used invasive EEG systems that require implantation into the body, which limits their general use. Recently, with advancements in machine learning technology, non-invasive BMI techniques have been progressing. However, non-invasive EEG signals are extremely weak, highly susceptible to noise, and challenging to analyze.
This research aims to develop non-invasive BMI technology for social implementation in industrial sectors. We are conducting preliminary studies on the analysis and classification of data measured by non-invasive EEG systems and evaluating their effectiveness.