Header image  
Tutorials: Nov 13, 2011, Shanghai, China
Main Conference: Nov 14-17, 2011, Shanghai, China
Workshops: Nov 18, 2011, Hangzhou, China
 
line decor
   Final program of ICONIP2011 and book of abstracts are available now.  
line decor
?
 
 
 

 
 
Special Session on Computational-Intelligent Human Computer Interaction

Organizers:

Chin-Teng Lin
Chair Professor, National Chiao-Tung University, Hsinchu, Taiwan.

Jyh-Yeong Chang
Professor, National Chiao-Tung University, Hsinchu, Taiwan.


John Kar-kin Zao
Associate Professor, National Chiao-Tung University, Hsinchu, Taiwan.

Yong-Sheng Chen
Associate Professor, National Chiao-Tung University, Hsinchu, Taiwan.


Li-Wei Ko
Assistant Researcher, National Chiao-Tung University, Hsinchu, Taiwan.

Contact:

Chair: Chin-Teng Lin    ctlin@mail.nctu.edu.tw

Co-Chair: Li-Wei Ko     lwko@mail.nctu.edu.tw

Description:

Biomedical signal monitoring systems have been rapidly advanced with electronic and information technologies in recent years. However, most of the existing physiological signal monitoring systems can only record the signals without the capability of automatic analysis. The novel human–computer interface (BCI) system that can acquire and analyze electroencephalogram (EEG) signals in real-time to monitor cognitive functions such as perception, attention, memory or decision making and, in turn, provide warning signals to the users when needed. The relative cost of personnel becomes more and more a factor in operation of complex systems, human cognitive limitations become more and more a limiting factor in human–computer interactions and therefore more and more important determinant of overall human/computer performance. Recently, many computational intelligent (CI) techniques including Neural Networks, Fuzzy Systems and Neural Fuzzy Systems were developed to monitoring, maintaining, or tracking of human operating performance. These applications had become a major interest research topic in cognitive engineering. Furthermore, how to utilize the CI techniques and integrate with the cognitive functions for augmenting human performance is a novel challenge in the interdisciplinary area. The main goal of this special session is to apply the advanced CI techniques to process the physiological signal processing such as Electroencephalography (EEG), Electrocardiography (ECG), Electromyography (EMG), Electrooculography (EOG), etc. It can help to understand the further interpretation of the human cognitive function via the advanced CI techniques. These research achievements can provide us new insights into the understanding of complex cognitive functions of participants actively performing ordinary tasks in natural body positions and situations within real operational environments.

Topics of interest include but not limited to:

  • Neuroinformatics and neuroengineering
  • Neuroerogonomics
  • Natural Cognition
  • Computational Neuroscience
  • Human-computer interaction
  • Neural network models
  • Unsupervised / supervised learning
  • Visual perception and modeling
  • Source separation
  • Biomedical signal/image processing
Biographies:

        Chin-Teng Lin

        Chair Professor, National Chiao-Tung University, Hsinchu, Taiwan.


        Jyh-Yeong Chang

        Professor, National Chiao-Tung University, Hsinchu, Taiwan.


        John Kar-kin Zao

        Associate Professor, National Chiao-Tung University, Hsinchu, Taiwan.


        Yong-Sheng Chen

        Associate Professor, National Chiao-Tung University, Hsinchu, Taiwan.


        Li-Wei Ko

        Assistant Researcher, National Chiao-Tung University, Hsinchu, Taiwan.



 
         
Copyright© 2010-2011 International Conference on Neural Information Processing. All rights reserved.