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DOI: 10.14569/IJARAI.2015.040603
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Relations between Psychological Status and Eye Movements

Author 1: Kohei Arai

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 6, 2015.

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Abstract: Relations between psychological status and eye movements are found through experiments with readings of different types of documents as well as playing games. Psychological status can be monitored with Electroencephalogram: EEG sensor while eye movements can be monitored with Near Infrared: NIR cameras with NIR Light Emission Diode: LED. EEG signals are suffred from noises while eye movement can be acquired without any influence from nise. Therefore, psychlogical status can be monitored with eye movement detection instead of EEG signal acquisition if there is relation between both. Through the experiments, it is found strong relation between both. In particular, relation between the number of rapid changes of line of sight directions and relatively high frequency components of EEG signals is found. It is also found that the number of rapid eye movement is counted when the users are reading the documents. The rapid eye movement is defined as 10 degrees of look angle difference for one second. Not only when the users change the lines in the document, but also when the users feel a difficulty for reading words in the document, the users’ line of sight direction moves rapidly.

Keywords: EEG; eye movement; psychological status; alpha wave; beta wave

Kohei Arai, “Relations between Psychological Status and Eye Movements” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(6), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040603

@article{Arai2015,
title = {Relations between Psychological Status and Eye Movements},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040603},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040603},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {6},
author = {Kohei Arai}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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