EEG-based human factors evaluation of air traffic control operators (ATCOs) for optimal training
To deal with the increasing demands in Air Traffic Control (ATC), new working place designs are proposed and developed that need novel human factors evaluation tools. In this paper, we propose a novel application of Electroencephalogram (EEG)-based emotion, workload, and stress recognition algorithm...
Saved in:
Main Authors: | Liu, Yisi, Lan, Zirui, Fitri Traspsilawati, Sourina, Olga, Chen, Chun-Hsien, Müller-Wittig, Wolfgang |
---|---|
Other Authors: | 2019 International Conference on Cyberworlds (CW) |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/146007 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
EEG-based cross-subject mental fatigue recognition
by: Liu, Yisi, et al.
Published: (2021) -
EEG-based cadets training and performance assessment system in maritime virtual simulator
by: Liu, Yisi, et al.
Published: (2021) -
EEG-based cross-subject driver drowsiness recognition with an interpretable convolutional neural network
by: Cui, Jian, et al.
Published: (2022) -
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG
by: Cui, Jian, et al.
Published: (2022) -
EEG-based evaluation of mental fatigue using machine learning algorithms
by: Liu, Yisi, et al.
Published: (2021)