Conference proceeding
Real-Time Monitoring of Cognitive Workload of Airline Pilots in a Flight Simulator with fNIR Optical Brain Imaging Technology
Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, AC 2016, PT I, v 9743, pp 147-158
01 Jan 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Real-time monitoring of the flight crew's health status with ambient and body sensors have become an important concern to improve the safety and the efficiency of flight operations. In this paper we report our preliminary findings on a functional near-infrared spectroscopy (fNIR) based online algorithm developed for real-time monitoring of mental workload of an airline pilot. We developed a linear discriminant analysis (LDA) based classifier that aims to predict low, moderate and high mental workload states based on a set of features computed over a moving window of oxy-and deoxy-hemoglobin measures obtained from 16 locations distributed over the prefrontal cortex. In this paper we explore the predictive power of a model trained for a single pilot over a sample of eight pilots and discuss the technical challenges involved with real-time measurement of brain activity in a flight simulator environment that involves other infra-red sources.
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Details
- Title
- Real-Time Monitoring of Cognitive Workload of Airline Pilots in a Flight Simulator with fNIR Optical Brain Imaging Technology
- Creators
- Murat Perit Cakir - Middle East Technical UniversityMurat Vural - Middle East Technical UniversitySuleyman Ozgur Koc - Turkish Aerospace Industries (Turkey)Ahmet Toktas - Turkish Aerospace Industries (Turkey)
- Publication Details
- Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, AC 2016, PT I, v 9743, pp 147-158
- Conference
- 10th International Conference, AC 2016, 10th (Toronto, Ontario, Canada, 17 Jul 2016–22 Jul 2016)
- Series
- Lecture Notes in Artificial Intelligence; 9743
- Publisher
- Springer Nature
- Number of pages
- 12
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000456655800014
- Scopus ID
- 2-s2.0-84978842660
- Other Identifier
- 991019280040004721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Ergonomics
- Neurosciences
- Psychology, Experimental