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HOME RESEARCH Laboratory Information Neural Engineering and Control Laboratory(NEC)

Neural Engineering and Control Laboratory(NEC)

Lab Introduction

In the Neural Engineering and Control Laboratory at Kumoh National Institute of Technology, we develop various medical and rehabilitation systems using neural signals (e.g., EEG and EMG) for people with physical or functional damages. In particular, we focus on the development of brain-computer interface (BCI) systems that can help paralyzed people who cannot freely move their bodies to control external devices, such as wheelchair, robotic arm, and computer, using their thoughts (brain signals), and also myoelectric prosthesis control systems that can help amputees to control prosthetic hands using residual muscles. Besides, we conduct the research based on bio information, such as EOG, ECG, and SPO2, in order to develop medical/life applications.

Research Area

  • brain-computer interface
  • Myoelectric prosthetic control
  • Neurorehabilitation
  • Biosignal analysis based on machine learning

Recruitment

Fully-funded MS, PhD and post-doctoral positions are available in the Neural Engineering and Control (NEC) Laboratory directed by Prof. Han-Jeong Hwang at Kumoh National Institute of Technology, Republic of Korea. Successful candidates will be involved in the projects, aiming at developing practical brain-computer interface (BCI) systems (http://nec.kumoh.ac.kr/).
For details, please check the following link: http://nec.kumoh.ac.kr/bbs/board.php?bo_table=board&wr_id=28

Selected Peer-Reviewed International Journal Papers (SCI/SCIE)

Full publication list can be found at http://nec.kumoh.ac.kr/page.php?content=Journalpaper

  1. Jaeyoung Shin, Klaus-Robert Muller, and Han-Jeong Hwang*, "Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic," Scientific Report, vol. 6, article number: 36203, November 8, 2016.(IF: 5.228, Q1 in Multidisciplinary Sciences)
  2. Han-Jeong Hwang, Valeria YanKous Ferreria, Daniel Ulrich, Tayfun Kilic, Xenofon Chatziliadis, Benjamin Blankertz and Matthias Treder, “A Gaze Independent Brain-Computer Interface Based on Visual Stimulation through Closed Eyelids,” Article Number: 15890, Scientific Reports, 29 October 2015.(IF: 5.228, Q1 in Multidisciplinary Sciences)
  3. Miseon Shim, Han-Jeong Hwang, Do-Won Kim, Seung-Hwan Lee, Chang-Hwan Im, “Machine-learning-based diagnosis of schizophrenia using combined sensor-level and source-level EEG features,” Schizophrenia Research, vol.176, no. 2-3, pp. 314-319, October 2016.(IF: 4.453, Q1 in Psychiatry)
  4. Han-Jeong Hwang, Janne Mathias Hahne and Klaus-Robert Muller, "Channel Selection for Simultaneous and Proportional Myoelectric Prosthesis Control of Multiple Degrees-of-Freedom," Journal of Neural Engineering, vol. 11, no. 5, pp. 056008, 01 August, 2014.(IF: 3.295, Q1 in Biomedical Engineering)
  5. Han-Jeong Hwang, Han Choi, Jeong-Young Kim, Do-Won Kim, Sungho Jo, Kiwoong Kim, and Chang-Hwang Im, “Towards More Intuitive Brain-Compute Interfacing: Classification of Binary Covert Intentions Using Near-Infrared Spectroscopy,” Journal of Biomedical Optics, vol. 21, no. 9, Article Number: 091303, April 5, 2016.(IF: 2.556, Q1 in Optics)
  6. Jaeyoung Shin, Alexander von Luhmann, Benjamin Blankertz, Do-Won Kim, Han-Jeong Hwang* and Klaus-Robert Muller*, "Open Access Dataset for EEG+NIRS Single-Trial Classification," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Nov 11, 2016 Epub. (*co-corresponding author) (IF: 2.583, Q1 in Rehabilitation)
  7. Han-Jeong Hwang, Jeong-Hwan Lim, Do-Won Kim, and Chang-Hwan Im, "Evaluation of Various Mental Task Combinations for Near-Infrared Spectroscopy-based Brain-Computer Interfaces, " Journal of Biomedical Optics, vol. 19, no. 7, pp. 077005, July 18, 2014.(IF: 2.859, Q1 in Optics)
  8. Jeong-Hwan Lim*Han-Jeong Hwang*, Chang-Hee Han, Ki-young Jung, and Chang-Hwan Im, “Classification of binary intention based on visual selective attention: “Eye-closed” brain-computer interface (BCI),” Journal of Neural Engineering, vol. 10, no. 2, pp. 026021, March 26, 2013. (*co-first author) (IF: 3.412, Q1 in Biomedical Engineering)

Research Funding

Ongoing Research Projects
Period Project Title Funding Source
2017.04-2023.03 Development of Brain-Computing Technologies Based On Non-Invasive Brain-Computer Interface Using Deep Learning Ministry of Science, ICT and Future Planning
2017.03-2020.02 Development of a Hiigh-Performance Brain-Computer interface System Based on Ear-EEG National Research Foundation of Korea
2017.04-2017.10 Development of EEG-based Authentication System WISET
2016.05-2018.04 Development of an Ear-Sharped Smart Wearable Device for Monitoring Real-Time Driver's Bio-Signals Small and Medium Business Administration
2016.05-2017.04 Development of a Communication System based on Brain Activity under Eyes-Closed State Kumoh National Institute of Technology
Completed Research Projects
Period Project Title Funding Source
2016.03-2016.06 Investigation of the Possibility of Developing Brain-Computer Interface System based on Temporal EEG Ministry of Trade, Industry and Energy
2014.11-2015.10 Toward Robust Myoelectric Prosthesis Control on Arm Position and Recording Electrode Changes National Research Foundation of Korea

Members

  • Full-time: 2 MS Students
  • Part-time: 2 Undergraduate Students

With us

  • Prof. Han Jeong Hwang _ Director of NEC
  • h2j@kumoh.ac.kr; +82-54-478-7783
Neural Engineering and Control Laboratory (NEC)
http://nec.kumoh.ac.kr/