Younghak Shin

Seungmin Kim Avatar
Seungmin Kim

·

My research

My research focuses on EEG (Electroencephalography) based brain-computer interface (BCI). Specifically, EEG signal processing using pattern recognition and machine learning techniques is main research interest. My research contributions are to design efficient EEG pattern recognition schemes for real-time BCI systems. I propose a “sparse representation based classification scheme” by using idea of sparse representation and L1 minimization tool and it shows robust classification performance in EEG classification.

Publications and Codes

[ PhD Thesis ]

“Robust Sparse Representation based Classification Scheme for Non-stationary EEG Signal   Classification” (Thesis), (Presentation)

[ Journals ]
  1. Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun and Heung-No Lee* “Simple Adaptive Sparse Representation based Classification Schemes for EEG based Brain-Computer Interface Applications” Computers in Biology and Medicine Vol.66, pp.29-38, Nov. 2015.(PDF) (Source code)
  2. Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho Sung Chan Jun and Heung-No Lee*, “Noise Robustness Analysis of Sparse Representation based Classification Method for Non-stationary EEG Signal Classification”, Biomedical Signal Processing and Control Vol.21, pp. 8-18, Aug. 2015. (PDF)
  3. Younghak Shin, Seungchan Lee, Junho Lee and Heung-No Lee*, “Sparse representation-based classification scheme for motor imagery-based brain-computer interface systems”, Journal of Neural Engineering, no. 9, 056002, 2012.(pdf) (source code)
[ Conference ]
  1. Younghak Shin, Seungchan Lee  and Heung-No Lee, “Dictionary Update based Adaptive EEG Classification for Real Time Brain-Computer Interface Applications”, International Conference on ICT Convergence 2015, Jeju island, Korea, Oct. 28-30, 2015. (PDF) (Presentation)
  2. Younghak Shin, Seungchan Lee,  and Heung-No Lee, “Evaluation of Sparse Representation based Classification method for Online Brain-Computer Interface Systems”, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, Aug 24-29, 2015.(pdf)
  3. Younghak Shin, Seungchan Lee, Soogil Woo and Heung-No Lee, “Performance Enhancement by Sparse Representation of EEG Signals for Motor Imagery Based BCI systems”, 5th International BCI Meeting, Asilomar Conference Grounds, Monterey, USA, June 3~7, 2013.(pdf)
  4. Younghak Shin, Seungchan Lee, Soogil Woo and Heung-No Lee, “Performance Increase by using a EEG Sparse Representation based Classification Method”, 2013 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, Jan 11~14, 2013.(pdf) (Presentation)
  5. Younghak Shin, Seungchan Lee, Minkyu Ahn, Sung Chan Jun and Heung-No Lee, “A New BCI Classification Method based on EEG Sparse Representation”, 5th International Conference of Brain Computer Interface 2011, Graz, Austria, Sep 22-24, 2011.(pdf)
  6. Younghak Shin, Seungchan Lee, Minkyu Ahn, Sung Chan Jun and Heung-No Lee, “Motor Imagery based BCI Classification via Sparse Representation of EEG Signals,” 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart & 8th International Conference on Bioelectromagnetism, Banff, Canada, May 13-16, 2011.(pdf) (Presentation)
  • Contanct information

shinyh0919@gmail.com