Neural Engineering Laboratory

Categories of technology seeds
Information telecommunication
Machine LearningNeural networkBCI


南部 功夫


Electrical,Electronics and Information Engineering

Associate Professor


Information Science: human Interfaces, Inteligent systems

Research areas

1. Brain-Computer Interfaces (BCIs) using EEG
-BCIs for prediction of movement information
−BCIs using Virtual Sounds
-Machine learning, feature selection, and neural network analysis for improvement of the BCI performance
2. Signal processing for functional near-infrared spectroscopy (fNIRS)and its application to BCIs
-Systemic artiface removal from short-distance channels
−fNIRS-BCIs for prediction of movement information
3.Human motor control, motor learning, and myoelectric interfaces
-Muscle synergy analysis during reachnig movements
−Prediction of movements from muscle activities
4. Virtual Sound synthesis
− Individualization of the head-related transfer functions

Main facilities

1.Electroencephalogram (BioSemi)
2.Myoelectric measuremet system(Delsys, OTbio)

Forte of this laboratory's study

1. Machine learning for biosignals
2. Brain imaging using EEG and fNIRS

Areas interesting to interact with

1.Human Interfaces and Brain-Computer Interfaces
2.Machine learning
3.Neuroimaging (assistive technology and rehabilitation techniques)


We aim to examine fundermentals for new interfaces in the future based on non-invasive brain imaging and machine learning techniques applicable to the biosignals.

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