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Optimizing Human-Automation Team Workload through a Non-Invasive Detection System

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: D17PC00200
Agency Tracking Number: D16C-003-0014
Amount: $149,987.52
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST16C-003
Solicitation Number: 2016.0
Timeline
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-03-23
Award End Date (Contract End Date): 2017-12-24
Small Business Information
8445 Camino Santa Fe
San Diego, CA 92121
United States
DUNS: 963381699
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Yu Chi
 CTO
 (469) 951-2227
 mikechi2@cognionics.com
Business Contact
 Michael Elconin
Phone: (619) 302-8686
Email: melconin@cognionics.com
Research Institution
 University of Arizona
 John J.B. Allen
 (520) 621-7448
 Nonprofit college or university
Abstract

This STTR project aims to assess the feasibility of using laryngeal EMG to detect operator workload and strain. Phase I will develop a wearable neckband device positioning an array of laryngeal EMG electrodes plus additional sensors for measuring masseter EMG, heart rate variability, GSR and estimated relative blood pressure. The neckband will be optimized to be both wearable, comfortable and resilient against motion artifacts. In tandem with hardware development, the Phase I effort will play a series of experiments, including flight simulator and inflight components, designed to elicit subject strain across a range of tasks. Phase II will further refine the hardware, carry out the studies with the end goal of providing the first comprehensive laryngeal EMG versus workload strain datasets to begin the development of automated algorithms.

* Information listed above is at the time of submission. *

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