Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method
HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
Keyboard before Head Tracking Depresses User Success in Remote Camera Control
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Gaze pattern and reading comprehension
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Modeling the mental differentiation task with EEG
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
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This paper demonstrates the ability to study the human reading behaviors with the use of Electroencephalography (EEG). This is a relatively new research direction because, obviously, gaze-tracking technologies are used specifically for those types of studies. We suspect, EEG, with the capability of recording brain-wave activities from the human scalp, in theory, could exhibit potential attributes to replace gaze-tracking in such research. To prove the concept, in this paper, we organized a BCI experiment and propose a model for effective classifying EEG data in comparison to the accuracy of gaze-tracking. The results show that by using EEG, we could achieve comparable results against the more established methods while demonstrating a potential live EEG applications. This paper also discusses certain points of consideration for using EEG in this work.