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


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1028193.pdf


Report Date : 22 Feb 2017


Pagination or Media Count : 7


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