Augmented Cognition Transition

Abstract

This report details the work done by Honeywell Aerospace Advanced Technology to address two key challenges in the transition of Augmented Cognition (AugCog) technology to the Army's Future Force: 1) integration of the Honeywell AugCog system into the Future Force Warrior (FFW) Soldier system and 2) deployment and evaluation of the dry electrodes for the collection of electroencephalogram (EEG) data under the helmet in an operational environment. Separate evaluations were conducted to test the success of both efforts. The Honeywell team successfully integrated and executed the AugCog hardware and software within the FFW Leader System Software during the U.S. Army's Command, Control, Communication, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) 2007 on-the-Move (OTM) Event. The team then collected electrocardiogram (ECG) and EEG data on the third squad leader, during force-on-force exercises, of a signal quality sufficient to classify cognitive state classification in a harsh operational environment. Accordingly, encouraging results showed >80% classification of workload in the field with EEG alone, thereby advancing the deployability of EEG sensor systems. Together, these successes represent an advance in integration maturity of the AugCog system as it moves towards transition into the Army's future systems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2009
Accession Number
ADA499733

Entities

People

  • James B. Sampson
  • Michael C Dorneich
  • Patricia M. Ververs
  • Santosh Mathan
  • Stephen D. Whitlow

Organizations

  • Honeywell International, Inc.

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Army Personnel
  • Classification
  • Cognition
  • Cognitive Workload
  • Computers
  • Human Factors Engineering
  • Information Systems
  • Machine Learning
  • Mental Processes
  • Network Centric Warfare
  • Psychology
  • Signal Processing
  • Situational Awareness
  • Supervised Machine Learning
  • Surveillance
  • Warfare
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Sensor Fusion and Tracking Systems.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control
  • Space