ABSTRACT
This short paper introduces the use of neurophysiological signals, electroencephalogram (EEG), as a technique for reading detection. Reading detection is a focused problem, yet with multiple facets and application relevance.
The paper refers to the system architecture that supports the reading detection experiments, describes the sample tools designed for the experiment and discusses the results.
The experiences demonstrate that the approach to reading detection is feasible. In addition, they highlight the technical and usability limitations of the approach, which are expected to be reduced both through system tuning and optimization, and through the technological evolution of the peripheral devices.
- Bizas, E., Simos, G., Stam, C. J., Arvanitis, S., Terzakis, D., Micheloyannis, S. EEG Correlates of Cerebral Engagement in Reading Tasks, Brain Topography, Vol. 12, 1999. doi: 10.1023/A:1023410227707Google Scholar
- Jung, J., Mainy, N., Kahane, P., Minotti, L., Hoffmann, D., Bertrand, O., Lachaux, J. The Neural Bases of Attentive Reading, Human Brain Mapping 29:1193--1206 (2008), doi: 10.1002/hbm.20454Google ScholarCross Ref
- MathWorks. http://www.mathworks.com, 2009.Google Scholar
- Oliveira, I., Grigore, O. and Guimarães, N. Reading detection based on electroencephalogram processing, Proceedings of the WSEAES 13th international conference on Computers, Rhodes, Greece, 2009 Google ScholarDigital Library
- Wolpaw, J. R., Brain Computer Interfaces for Communication and Control, ASSETS'07, Oct 2007, AZ, USA, doi:10.1016/S1388-2457(02)00057-3 Google ScholarDigital Library
Index Terms
- Experiences in reading detection with EEG signals
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