Accession Number:

AD1028193

Title:

Investigating Facial Electromyography as an Indicator of Cognitive Workload

Descriptive Note:

Conference Proceedings

Corporate Author:

Oak Ridge Institute for Science and Education Belcamp United States

Personal Author(s):

• Mead,Jonathan
• Middendorf,Matt
• Gruenwald,Christina

Report Date:

2017-02-22

Pagination or Media Count:

7.0

Abstract:

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.

Descriptors:

• electromyography
• facial muscles
• remotely piloted vehicles
• cognitive workload
• military research
• stress ( physiology)

Subject Categories:

• Anatomy and Physiology
• Stress Physiology
• Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE