Investigating Facial Electromyography as an Indicator of Cognitive Workload

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.

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Document Details

Document Type
Technical Report
Publication Date
Feb 22, 2017
Accession Number
AD1028193

Entities

People

  • Christina Gruenwald
  • Jonathan Mead
  • Matt Middendorf

Organizations

  • Oak Ridge Institute for Science and Education

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Amplitude
  • Cognitive Workload
  • Facial Muscles
  • Information Processing
  • Information Science
  • Measurement
  • Motor Skills
  • Muscles
  • Neural Networks
  • Psychology
  • Remotely Piloted Vehicles
  • Signal Processing
  • Statistical Analysis
  • Workload

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Vision.