RESEARCH

Major goal:  Enhance human performance through neural decoding and brain-computer interfaces (BCIs)

 

     Since I obtained a Ph.D. degree in 2009, I have been working on neural decoding using EEG and fMRI to develop brain-computer interfaces (BCIs). Targets for the decoding include motor control, speech, and emotion, and I have succeeded to decode detailed information that was considered to be difficult for EEG, such as classifying and reconstructing individual muscle activity signals and heard speech sounds. Based on the achievements and accumulated my own techniques, one of my plans is to develop a BCI that enhances human physical and mental performance through decoding and feedback to maintain motor coordination skills of people for keeping their health through their life and to prevent all people from mental disorders by monitoring daily physical and mental data through brain activity signals. Besides them, I have been working to develop a BCI for completely locked-in patients suffering from amyotrophic lateral sclerosis (ALS) through international collaboration.

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