Investigating Facial Electromyography as an Indicator of Cognitive Workload

reportActive / Technical Report | Accession Number: AD1028193 | Open PDF

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.

Author(s):
Mead, Jonathan ; Middendorf, Matt ; Gruenwald, Christina
Author Organization(s):
Oak Ridge Institute for Science and Education Belcamp United States
Descriptive Note:
Conference Proceedings
Supplementary Note:
09 May 2017, 11 May 2017,
Pagination:
0007

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.5_Direct; JCA_5.5.1_Communicate Intent and Guidance; JCA_5.5.2_Task; JCA_5.6.1_Assess Compliance with Guidance; JCA_5.6_Monitor; JCA_2.2_Collection; JCA_1.2.7_Experimentation; JCA_5.3_Planning; JCA_1.2.3_Educating; JCA_1.2.1_Training
Modernization Areas:
Autonomy; Microelectronics
Communities of Interest:
Air Platforms
Descriptor(s):
electromyography, facial muscles, remotely piloted vehicles, cognitive workload, military research, stress ( physiology)
Field(s)/Group(s):
Anatomy and Physiology, Stress Physiology, Psychology
Report Date:
2017 Feb 22
Creation Date:
2017 Feb 22