Journal article
Optical Brain Imaging to Enhance UAV Operator Training, Evaluation, and Interface Development
Journal of intelligent & robotic systems, v 61(1), pp 423-443
Jan 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
As the use of unmanned aerial vehicles expands to near earth applications and force multiplying scenarios, current methods of operating UAVs and evaluating pilot performance need to expand as well. Many human factors studies on UAV operations rely on self reporting surveys to assess the situational awareness and cognitive workload of an operator during a particular task, which can make objective evaluations difficult. Functional Near-Infrared Spectroscopy (fNIR) is an emerging optical brain imaging technology that monitors brain activity in response to sensory, motor, or cognitive activation. fNIR systems developed during the last decade allow for a rapid, non-invasive method of measuring the brain activity of a subject while conducting tasks in realistic environments. This paper investigates deployment of fNIR for monitoring UAV operator’s cognitive workload and situational awareness during simulated missions. The experimental setup and procedures are presented with some early results supporting the use of fNIR for enhancing UAV operator training, evaluation and interface development.
Metrics
Details
- Title
- Optical Brain Imaging to Enhance UAV Operator Training, Evaluation, and Interface Development
- Creators
- Justin Menda - School of Biomedical Engineering, Science & Health Systems Drexel University 3141 Chestnut Street Philadelphia PA USAJames Hing - Department of Mechanical Engineering and Mechanics Drexel University 3141 Chestnut Street Philadelphia PA USAHasan Ayaz - School of Biomedical Engineering, Science & Health Systems Drexel University 3141 Chestnut Street Philadelphia PA USAPatricia Shewokis - School of Biomedical Engineering, Science & Health Systems Drexel University 3141 Chestnut Street Philadelphia PA USAKurtulus Izzetoglu - School of Biomedical Engineering, Science & Health Systems Drexel University 3141 Chestnut Street Philadelphia PA USABanu Onaral - School of Biomedical Engineering, Science & Health Systems Drexel University 3141 Chestnut Street Philadelphia PA USAPaul Oh - Department of Mechanical Engineering and Mechanics Drexel University 3141 Chestnut Street Philadelphia PA USA
- Contributors
- Kimon P Valavanis (Editor)
- Publication Details
- Journal of intelligent & robotic systems, v 61(1), pp 423-443
- Publisher
- Springer Netherlands; Dordrecht
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Nutrition Sciences
- Web of Science ID
- WOS:000286778100026
- Scopus ID
- 2-s2.0-79951517537
- Other Identifier
- 991014878176604721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Robotics