Abstract
Multimodal Cognitive Workload Assessment Using EEG, fNIRS, ECG, EOG, PPG, and Eye-tracking
Frontiers in human neuroscience, v 12
2018
Abstract
Mental workload is a measure of the cognitive effort required to successfully perform a task, and is a function of task difficulty and individual expertise. Understanding the mental workload which is disassociated from the behavioral performance can be used to improve interface design of complex systems and efficiency of human-machine teaming (Ayaz et al 2012). Functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) are portable neuroimaging modalities that can have wearable, wireless, and battery-operated sensors to capture neural correlates with complex and natural tasks, aligned with the neuroergonomic approach (Parasuraman and Wilson, 2008; Gramann et al 2017). Recent studies we have conducted have demonstrated the capability of fNIRS and EEG to measure workload in working memory tasks (Ayaz et al 2012; Choe et al 2016; Liu et al., 2017). In this study, we look at fNIRS, EEG, heart rate (ECG), photoplethysmograph (PPG), and several eye movement-related metrics (EOG and eye-tracking) to capture multi-dimensional biomarkers of workload in brain and body measures.
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Details
- Title
- Multimodal Cognitive Workload Assessment Using EEG, fNIRS, ECG, EOG, PPG, and Eye-tracking
- Creators
- Jesse Mark - Drexel University, School of Biomedical Engineering, Science, and Health SystemsAdrian Curtin - Drexel University, School of Biomedical Engineering, Science, and Health SystemsAmanda Kraft - Lockheed Martin (United States)Amanda Sargent - Drexel University, School of Biomedical Engineering, Science, and Health SystemsAlison Perez - Lockheed Martin (United States)Leah Friedman - Drexel University, School of Biomedical Engineering, Science, and Health SystemsAmanda Barkan - Drexel University, School of Biomedical Engineering, Science, and Health SystemsTrevor Sands - Lockheed Martin (United States)William Casebeer - Lockheed Martin (United States)Matthias Ziegler - Lockheed Martin (United States)Hasan Ayaz - Drexel University, School of Biomedical Engineering, Science, and Health Systems
- Publication Details
- Frontiers in human neuroscience, v 12
- Conference
- The 2nd International Neuroergonomics Conference, 2nd (Philadelphia, Pennsylvania, United States, 27 Jun 2018–29 Jun 2018)
- Resource Type
- Abstract
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Other Identifier
- 991019186659404721