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Research Article | Open Access |

Method for Psychological Status Monitoring with Line of Sight Vector Changes (Human Eye Movements) Detected with Wearing Glass

Author 1: Kohei Arai Author 2: Kiyoshi Hasegawa
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 6 · Published 2013 · Cited by 10

DOI: https://doi.org/10.14569/IJARAI.2013.020611

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Abstract

Method for psychological status monitoring with line of sight vector changes (human eye movement) detected with wearing glass is proposed. Succored eye movement should be an indicator of humans’ psychological status. Probability of succored eye movement, therefore, is measured. Through experiments with simple and complicated documents, relation between psychological status measured with eeg signals and the probability of succored eye movements is clarified. It is found that there is strong relation between both results in psychological status can be estimated with eye movement measurements.

Keywords

psychological status eye movement eye detection and tracking eeg signal

How to Cite this Article

Arai, K., & Hasegawa, K. (2013). Method for Psychological Status Monitoring with Line of Sight Vector Changes (Human Eye Movements) Detected with Wearing Glass. International Journal of Advanced Research in Artificial Intelligence, 2(6). https://doi.org/10.14569/IJARAI.2013.020611

Arai, Kohei, and Kiyoshi Hasegawa. "Method for Psychological Status Monitoring with Line of Sight Vector Changes (Human Eye Movements) Detected with Wearing Glass." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 6, 2013, https://doi.org/10.14569/IJARAI.2013.020611.

@article{Arai2013,
  title     = {Method for Psychological Status Monitoring with Line of Sight Vector Changes (Human Eye Movements) Detected with Wearing Glass},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {6},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Kiyoshi Hasegawa},
  doi       = {10.14569/IJARAI.2013.020611},
  url       = {https://doi.org/10.14569/IJARAI.2013.020611}
}

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