Title :
A tri-modal Schema for cognitive neuroscience research
Author :
Zheng, Rui ; Kuai, Xinkai ; Yang, Guosheng ; Fu, Siyao
Author_Institution :
Sch. of Inf. & Eng., Central Univ. of Nat., Beijing, China
Abstract :
There have been lots of tools for cognitive neuroscience research and some of them such as eye tracking, EEG grow up quickly. However, as each tool can only complete single function and most of technologies are not very mature, there is still a long road to get a convincing conclusion. In view of that, this paper proposes a tri-modal Schema combining EEG, eye tracking and image recognition for cognitive neuroscience research. The Schema contains the architecture to build such an experiment environment and the steps of data analysis. How to acquiring a signal with few artifacts and synchronize all the signals are focused. It provides a robust solution for establish an experiment environment quickly.
Keywords :
cognition; data analysis; electroencephalography; iris recognition; neurophysiology; EEG; cognitive neuroscience research; convincing conclusion; data analysis; experiment environment; eye tracking; image recognition; signal acquisition; trimodal schema; Brain models; Educational institutions; Electroencephalography; Emotion recognition; Feature extraction; Physiology;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-2144-1
DOI :
10.1109/ICICIP.2012.6391465