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Investigating Facial Electromyography as an Indicator of Cognitive Workload
Oak Ridge Institute for Science and Education Belcamp United States
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Facial electromyography fEMG is an electromyographic measurement technique that has primarily been used as a tool for measuring affect, but previous experiments suggest that it also has the potential to help quantify cognitive workload. In the current study, two task-irrelevant facial muscles, corrugator supercilli and lateral frontalis, were monitored in real-time to determine whether they were sensitive to workload changes in a remotely piloted aircraft RPA task environment. Real-time signal processing techniques were applied to derive the median amplitude and zero-crossing rate from windowed fEMG data.
APPROVED FOR PUBLIC RELEASE