Book chapter
Applications of Functional Near Infrared Imaging: Case Study on UAV Ground Controller
Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, pp 608-617
2011
Abstract
Functional Near-Infrared (fNIR) spectroscopy is an emerging optical brain imaging technology that enables assessment of brain activity through the intact skull in human subjects. 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 introduces underlying principles and various fNIR designs currently applied to real-time settings, such as monitoring Unmanned Aerial Vehicle (UAV) operator’s expertise development and cognitive workload during simulated missions.
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18 Record Views
8 citations in Scopus
Details
- Title
- Applications of Functional Near Infrared Imaging: Case Study on UAV Ground Controller
- Creators
- Kurtulus Izzetoglu - Drexel University, School of Biomedical Engineering, Science, and Health SystemsHasan Ayaz - Drexel University, School of Biomedical Engineering, Science, and Health SystemsJustin Menda - Drexel University, School of Biomedical Engineering, Science, and Health SystemsMeltem Izzetoglu - Drexel University, School of Biomedical Engineering, Science, and Health SystemsAnna Merzagora - Drexel University, School of Biomedical Engineering, Science, and Health SystemsPatricia A Shewokis - Drexel University, School of Biomedical Engineering, Science, and Health SystemsKambiz Pourrezaei - Drexel University, School of Biomedical Engineering, Science, and Health SystemsBanu Onaral - Drexel University, School of Biomedical Engineering, Science, and Health Systems
- Publication Details
- Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, pp 608-617
- Conference
- 6th International Conference, FAC 2011, Held as Part of HCI International 2011, 6th (Orlando, Florida, United States, 09 Jul 2011–14 Jul 2011)
- Series
- Lecture Notes in Computer Science; 6780
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Number of pages
- 10
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; School of Education; College of Engineering; Nutrition Sciences; Health Sciences Division
- Scopus ID
- 2-s2.0-79960327753
- Other Identifier
- 991014877823104721