Recognition of Pilot's Cognitive States based on Combination of Physiological Signals

Soo Yeon Han, Jeong Woo Kim, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Pilot's cognitive states induced by mental fatigue, distraction, and workload could be a cause of catastrophic accidents. Therefore, many methods for the detection of pilot cognitive states have been proposed in previous studies. Especially, neuro-and peripheral physiological measures (PPMs) such as electroencephalogram (EEG), electrocardiogram (ECG), respiration, and electrodermal activity (EDA) were employed to develop the novel flight assistant technologies for assurance of pilot's safety. However, each study investigated only one kind of state. Also, they did not consider the feature optimization for each subject. In this paper, we propose a method for the recognition of pilot's diversified mental states during simulated flight. The method selects the most fitted features for each subject based on the statistical analysis. The results show that the proposed method is superior to previous methods. Consequently, it shows that the pilot assistant system based on human-computer interaction (HCI) technologies could be facilitated in real-world.

Original languageEnglish
Title of host publication7th International Winter Conference on Brain-Computer Interface, BCI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538681169
DOIs
Publication statusPublished - 2019 Feb 1
Event7th International Winter Conference on Brain-Computer Interface, BCI 2019 - Gangwon, Korea, Republic of
Duration: 2019 Feb 182019 Feb 20

Publication series

Name7th International Winter Conference on Brain-Computer Interface, BCI 2019

Conference

Conference7th International Winter Conference on Brain-Computer Interface, BCI 2019
CountryKorea, Republic of
CityGangwon
Period19/2/1819/2/20

Keywords

  • electroencephalography
  • passive brain computer interface
  • peripheral physiological meausrescomponent
  • pilot inattention
  • pilot safety
  • pilot's mental states

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Signal Processing
  • Neuroscience (miscellaneous)

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  • Cite this

    Han, S. Y., Kim, J. W., & Lee, S. W. (2019). Recognition of Pilot's Cognitive States based on Combination of Physiological Signals. In 7th International Winter Conference on Brain-Computer Interface, BCI 2019 [8737317] (7th International Winter Conference on Brain-Computer Interface, BCI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2019.8737317