Neurophysiological workload assessment in flight

Tom Schnell; Mike Keller; Pieter Poolman

doi:10.1109/DASC.2008.4702827

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Conference proceeding

Neurophysiological workload assessment in flight

Tom Schnell, Mike Keller and Pieter Poolman

2008 IEEE/AIAA 27th Digital Avionics Systems Conference, pp.4.B.2-1-4.B.2-14

10/2008

DOI: 10.1109/DASC.2008.4702827

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Abstract

Over the past few years, we developed a neurocognitive assessment system called the cognitive avionics tool set (CATS). This system has been used in fixed and rotary wing aircraft and in automobiles to assess operator workload using physiological and neurocognitive markers. Sensors that we used in the past include dense array electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin response (GSR), pulse oximetry (sPO2), respiration (amplitude and frequency), and non-contact measures such as facial feature point location, facial temperature differences, and eye tracking. We recently integrated a new sensor called the PhotrodeTM manufactured by SRICO. The Photrode is an optical device that detects electrical fields. The device operates by sending a beam of light through a Mach-Zehnder Interferometer (MZI). An electric field modulates the light in a way that can be detected by an optical receiver. Because bio-electrical fields travel through clothing, the Photrode can detect ECG activity remotely, eliminating the need for wires being directly attached to the individual. The Photrode is capable of detecting EEG activity remotely through clothing. This paper provides an overview of CATS.

Aerospace Electronics

Electroencephalography

Aircraft

Cats

Clothing

Electrocardiography

Optical detectors

Pulse measurements

Sensor arrays

Temperature sensors

Details

Title: Subtitle: Neurophysiological workload assessment in flight
Creators: Tom Schnell - Operator Performance Lab., Iowa City, IA
Mike Keller - Operator Performance Lab., Iowa City, IA
Pieter Poolman - Operator Performance Lab., Iowa City, IA
Resource Type: Conference proceeding
Publication Details: 2008 IEEE/AIAA 27th Digital Avionics Systems Conference, pp.4.B.2-1-4.B.2-14
Publisher: IEEE
DOI: 10.1109/DASC.2008.4702827
ISSN: 2155-7195
eISSN: 2155-7209
Language: English
Date published: 10/2008
Academic Unit: Industrial and Systems Engineering; Neurology; Ophthalmology and Visual Sciences; Occupational and Environmental Health; Electrical and Computer Engineering; Public Policy Center (Archive)
Record Identifier: 9984187077702771

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