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Surviving in Frankenstein’s lab - how to build and use a laboratory that applies multiple physiological sensors

Surviving in Frankenstein’s lab - how to build and use a laboratory that applies multiple physiological sensors
Surviving in Frankenstein’s lab - how to build and use a laboratory that applies multiple physiological sensors
A growing area of research addresses how physiological data can be used to understand the state of an operator across a variety of operational environments, including semi-autonomous driving. Use of multiple physiological sensors is highly practical; however, it introduces a number of challenges related to signal noise reduction. During the design and construction of the laboratory in HI:DAVe it became clear that there was not much documentation concerning how to undertake such a task. Paper is assimilating the literature related to this to provide a user’s guide for how someone can get to the stage of a fully functional Faraday Cage mid-fidelity driving simulator with an extensive physiological recording suite. It describes a process of psychophysiological laboratory construction and introduces a decision-tree to help with the choice of the most optimal noise-reduction strategies. The psychophysiological measures included are electroencephalography, electrooculography, electromyography, eye-tracking, voice analysis, electrocardiography, respiration, electrodermal response and oximetry.
Acoustic voice analysis, Artefacts Reduction, Decision-tree, Electrocardiography, Electrodermal response, Electroencephalography, Electromyography, Electrooculography, Eye-tracking, Faraday Cage, Galvanic skin response, Human factors, Operator state monitoring, Oximetry, Psychophysiology, Respiration, Signal noise reduction
2194-5357
203-214
Springer
Kaduk, Sylwia Izabela
4faa8ddf-42f3-4f14-a5b6-a21e30eff0bd
Roberts, Aaron
a2fb35d9-a42f-4a07-848d-01cecae9d893
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Cassenti, Daniel N.
Kaduk, Sylwia Izabela
4faa8ddf-42f3-4f14-a5b6-a21e30eff0bd
Roberts, Aaron
a2fb35d9-a42f-4a07-848d-01cecae9d893
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Cassenti, Daniel N.

Kaduk, Sylwia Izabela, Roberts, Aaron and Stanton, Neville (2020) Surviving in Frankenstein’s lab - how to build and use a laboratory that applies multiple physiological sensors. Cassenti, Daniel N. (ed.) In Advances in Human Factors and Simulation. Proceedings of the AHFE 2019, International Conference on Human Factors and Simulation. vol. 958, Springer. pp. 203-214 . (doi:10.1007/978-3-030-20148-7_19).

Record type: Conference or Workshop Item (Paper)

Abstract

A growing area of research addresses how physiological data can be used to understand the state of an operator across a variety of operational environments, including semi-autonomous driving. Use of multiple physiological sensors is highly practical; however, it introduces a number of challenges related to signal noise reduction. During the design and construction of the laboratory in HI:DAVe it became clear that there was not much documentation concerning how to undertake such a task. Paper is assimilating the literature related to this to provide a user’s guide for how someone can get to the stage of a fully functional Faraday Cage mid-fidelity driving simulator with an extensive physiological recording suite. It describes a process of psychophysiological laboratory construction and introduces a decision-tree to help with the choice of the most optimal noise-reduction strategies. The psychophysiological measures included are electroencephalography, electrooculography, electromyography, eye-tracking, voice analysis, electrocardiography, respiration, electrodermal response and oximetry.

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More information

e-pub ahead of print date: 2 June 2019
Published date: 2020
Venue - Dates: Advances in Human Factors and Simulation: International Conference on Human Factors and Simulation, , Washington D.C., United States, 2019-07-24 - 2019-07-28
Keywords: Acoustic voice analysis, Artefacts Reduction, Decision-tree, Electrocardiography, Electrodermal response, Electroencephalography, Electromyography, Electrooculography, Eye-tracking, Faraday Cage, Galvanic skin response, Human factors, Operator state monitoring, Oximetry, Psychophysiology, Respiration, Signal noise reduction

Identifiers

Local EPrints ID: 437590
URI: http://eprints.soton.ac.uk/id/eprint/437590
ISSN: 2194-5357
PURE UUID: 0430aa96-bcc1-4b51-857c-23296b7e4649
ORCID for Neville Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 06 Feb 2020 17:31
Last modified: 18 Feb 2021 17:13

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Contributors

Author: Sylwia Izabela Kaduk
Author: Aaron Roberts
Author: Neville Stanton ORCID iD
Editor: Daniel N. Cassenti

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