Doctor Kyuwan CHOI

New brain-robot interface system (BRI) 


Kyuwan CHOI


최규완 (崔 圭完)


(Research Scientist)


Dept. of Computational Brain Imaging, Computational Neuroscience Laboratories, ATR, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan


Phone +(81) 80-5191-0077


kyuwanchoi (at)


Academic Background

Doctor of Philosophy: Brain-Machine Interfaces (BMI)                                                         2007

       Ph.D. Thesis: Research for Brain-Machine Interfaces (BMI) using EMG signals
       Tokyo Institute of Technology, Japan

Master of Engineering: Human-Computer Interaction (HCI)                                                 2003
       Master thesis: Research for LaserPen: New Pointing Device for Projectors
       KAIST, South Korea

Bachelor of Engineering: Electrical, Electronics and Control Engineering                           2001
      Korea University, South Korea

Professional experience

 Research Scientist, Computational Neuroscience Laboratories, ATR; KyotoJuly 2009-Present

Brain information extraction from NIRS-EEG systems


Research Scientist, BSI-Toyota Collaboration Center, BSI, RIKEN; Saitama – Nov. 2007-June 2009

Researching in the field of non-invasive brain machine interfaces (Motor Imagery, P300)


Postdoctoral Researcher, Precision and Intelligence Laboratory, Tokyo Institute of Technology; Tokyo – Apr. 2007-Oct. 2007

Researching in the field of brain machine interfaces (Invasive BMI)


Ph.D. Course Student, Tokyo Institute of Technology; Tokyo – 2004-2007

Prediction of arm trajectory from the neural activities of the primary motor cortex using the modular artificial neural network model (CREST Project, Japan Science and Technology Agency)


Research Student, Tokyo Institute of Technology; Tokyo – 2003-2004

Development of a new wheelchair system that can be controlled by Electromyogram(EMG) signals (Yamaha Motor Co. Project)


Internship Researcher, Electronics and Telecommunications Research Institute; Daejeon South Korea– 2001

Research for MPEG-4 Scene Description


Internship Researcher, Panko technology; Seoul South Korea– 2002

Research for human interfaces


M.S. Course Student, KAIST; Daejeon South Korea– 2001-2003

Development of LaserPen: a new pointing device for a projector (Project of the Ministry of Information and Communication Republic of Korea)


Technical Skills

. Matlab

. Visual C++/C

. Signal Processing

. Circuit Design

. Embedded Systems and Microcontrollers




Non-Technical Skills and Experience

. Fluent Languages: English, Japanese, Korean

. Teaching Assistant

. Research Assistant

. Served in the South Korean Army


Research interests

. Brain Machine Interfaces

. Signal Processing

. Neuroscience

. Robotics


 Award and scholarships

 . IEEE VECIM 2003 Student award

. Japanese government scholarships

. Best Paper for the 8th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA ’09)

Teaching experience

. Introduction to Programming                                                                                              2001
KAIST special education center summer camp for the gifted, Teaching Assistant

. Introduction to Programming                                                                                              2002
KAIST speical education center summer camp for the gifted, Teaching Assistant

. Signal and Systems                                                                                                             2002
KAIST, Teaching Assistant

. Korea University, Visiting lecturer                                                                                       2014
Introduction to Cognitive brain science, BRI 502

Professional activities

IEEE Transactions on Signal Processing reviewer

IEEE Transactions on neural systems and rehabilitation engineering reviewer

IEEE Transactions on Neural Networks and Learning Systems reviewer

Frontiers in Neuroscience reviewer

Selected Journal Publications (peer-reviewed journals)

Kyuwan Choi, and Elizabeth Torres, ‘Intentional signal in prefrontal cortex generalizes across different sensory modalities’, Journal of Neurophysiology, Nov. 2013, Vol. no. DOI: 10.1152/jn.00505.2013.

Kyuwan Choi, 'An electroencephalography-based real-time cortical monitoring system that uses hierarchical Bayesian estimations for the brain-machine interface' Journal of Clinical Neurophysiology, 2014, Volume 31, Issue 3, pp. 218-228.

Kyuwan Choi, ‘Electoencephalography (EEG)-based neurofeedback training for brain-computer interface (BCI)’, Experimental Brain Research, Nov. 2013, Vol. 231, Issue 3, pp. 351-365.

Kyuwan Choi, ‘Reconstructing for joint angles on the shoulder and elbow from non-invasive electroencephalographic signals through electromyography’, Frontiers in Neuroscience, Oct. 2013, Vol. 7, Article 190, doi:10.3389/fnins.2013.00190.

Kyuwan Choi, ‘Control of a vehicle with EEG signals in real-time and system evaluation’, European Journal of Applied Physiology, 2012 Feb.;112(2):755-66.

Zhaoshui He, Andrzej Cichocki, Shengli Xie, and Kyuwan Choi, ‘Detecting the number of clusters in n-way probabilistic clustering’, IEEE Transaction of Pattern Analysis and Machine Intelligence, 32(11): 2006-2021, 2010.

Kyuwan Choi, Hideaki Hirose, Yoshio Sakurai, Toshio Iijima, and Yasuharu Koike, ‘Prediction of arm trajectory from the neural activities of the primary motor cortex with modular connectionist architecture’, Neural Networks 22(9): 1214-1223, 2009.

Kyuwan Choi, Makoto Sato, and Yasuharu Koike, ‘Consideration of the embodiment of a new, human-centered interface’, IEICE Transactions on Information and systems, Vol. E89-D, No.6, pp. 1826-1833, June, 2006.

Book chapters

Kyuwan Choi, and Yasuharu Koike, ‘Prediction of arm trajectory from the neural activities of the primary motor cortex using a modular artificial neural network model’ Lecture Notes in Computer Science, Intelligent Data Engineering and Automated Learning, pp. 987-996, Springer, 2007 (ISBN 978-3-540-69159-4).

Kyuwan Choi, and Andrzej Cichocki, ‘Control of a wheelchair by motor imagery in real time’ Lecture Notes in Computer Science, Intelligent Data Engineering and Automated Learning, pp. 330-337, Springer, 2007 (ISBN 978-3-540-88905-2).


Kyuwan ChoiAndrzej Cichocki, Kazutoshi Ebe, Tomoya Takatani, Hitoshi Yamada , ‘Mobile body control device and mobile body control method', World patent application WO 2010050113 A1, May 6, 2010, US patent application US 20110152709, June 23, 2011, China patent application CN 102202569, Sep 28, 2011.

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