The main research areas reside in computational models of brain information processing mechanism and their applications to build human-like intelligent systems, i.e., Artificial Brain and Artificial Cognitive Systems (ACS). These functional models are based on information theory and inspired by findings in cognitive science. Intelligent robots with human-like cognitive functions are examples of ACSs, which improve their functional ability by learning from users and other ACSs.



Notice / News
  • CNSL's research on emotion recognition was on air (KBS), April 2, 2017 (https://youtu.be/hDlf-RxtHg8)
  • Bo-Kyeong Kim, Challenge Winner, Image-Based Static Facial Expression Recognition Sub-challenge, The Third Emotion Recognition In The Wild Challenge (EmotiW 2015), November 09-13, 2015, Seattle, USA
  • Ho-Gyeong Kim, Best Poster Award, 3rd International Conference on Human-Agent Interaction (HAI2015), October 21-24, 2015, Daegu, Korea
Recent Publication
  • Suh-Yeon Dong, Bo-Kyeong Kim, Soo-Young Lee, "EEG-based Classification of Implicit Intention during Self-relevant Sentence Reading", IEEE Transactions on Cybernetics, Vol. 46, No. 11, pp. 2535-2542, 2016.11. 
  • Hwaran Lee, Geonmin Kim, Ho-Gyeong Kim, Sang-Hoon Oh, Soo-Young Lee, “Deep CNNs along the Time Axis with Intermap Pooling for Robustness to Spectral Variations”,IEEE Signal Processing Letters, Vol. 23, No. 10, pp. 1310-1314, 2016.10. 
  • Bo-Kyeong Kim, Jihyeon Roh, Suh-Yeon Dong, Soo-Young Lee, "Hierarchical Committee of Deep Convolutional Neural Networks for Robust Facial Expression Recognition", Journal on Multimodal User Interfaces, Vol. 10, Issue 2, pp. 173-189, 2016.06.