16K01572:Robot hand using EEG signals

Development of a support robot hand system using SSVEP

Zixun He, Yuusuke Watanabe, Rezenko Roman Yurievich, Yuta Ogai, Yousun Kang, and Duk Shin

Recently, the Brain-Computer Interface (BCI) system could support various aspects of everyday life of elderly and disabled people. In this research, we developed a noninvasive BCI system that controls the robot hand using induced brain waves Steady-State Visual Evoked Potential (SSVEP) in order to improve the quality of life of patients with hands or arms deficient or impaired. This BCI system consists of visual stimulator, 6 degree of freedom (DOF) robot hand, an EEG recorder and a laptop for processing data. The subject induces the corresponding SSVEP signal by seeing one target in the three visual stimuli (5Hz, 6Hz, 7Hz) representing the motion: grip, pinch and arm rotation of the robot hand. The detected SSVEP signal is classified by canonical correlation analysis (CCA). The robot hand is operated by converting the SSVEP into the control signal according to the classification result. The results show that the proposed BCI system has a high performance, achieving the average accuracy of 97% in a time window length of 4 s and the use of three harmonics.


This work was supported by KAKENHI grants (16K01572), and ‘FY2016 MEXT Private University Research Branding Project’.

About me

“20 years in biomedical signal processing and control focusing on HCI/BMI using EEG, EMG, ECG, EOG and ECoG”

    Dr. Shin is now a professor at Dept. of Electronics and Mechatronics of Tokyo Polytechnic University.

    His research interests include wearable robot, human centered system, human computer interface,  brain machine (ie.computer) interface, and bio-signal engineering.

    He is a member of Society for Neuroscience (SfN), the Japan Neuroscience Society (JNS). He is also an editorial board member of Scientific Reports that is a sister journal of the Nature.



Wearable Robot

power suit, prosthetic armDOWNLOAD FULL CV

Brain Machine Interface (BMI/BCI)

simultaneous EMG, and ECoG to investigate the neural mechanisms of arm control

Human Computer Interface (HCI)

new interface with EMGs such as Air drum

Designed and implemented a muscular–skeletal model

Driver Monitoring System

Designed and implemented bio-signal processing algorithms


 2001–2005   Ph.D. 

Tokyo Institute of Technology, Japan.

 “Arm Stiffness Estimation using Mathematical Model of Musculo-skeletal System”

 1996–1998   M.S. 

Chosun University, Korea.

 “Design of a Force-reflecting Haptic Interface using Ultrasonic Motors”

 1992–1996   B.S

Chosun University, Korea.

Work Experience

2020-present Professor of Tokyo Polytechnic University

2015- 2020  Associate Professor of Tokyo Polytechnic University

2011–2015   Research Associate Professor  of Tokyo Institute of Technology, Yokohama.

2010–2011   Research Assistant Professor 

Tokyo Institute of Technology, Yokohama.

2007–2010   Visiting researcher,

Toyota Central R & D Laboratory, Inc., Nagakute.

2006–2007   Assistant Professor

Tokyo Institute of Technology, Yokohama.

2005–2006   Researcher

Tokyo Institute of Technology, Yokohama.