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
203-214
Kaduk, Sylwia Izabela
4faa8ddf-42f3-4f14-a5b6-a21e30eff0bd
Roberts, Aaron
a2fb35d9-a42f-4a07-848d-01cecae9d893
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
2020
Kaduk, Sylwia Izabela
4faa8ddf-42f3-4f14-a5b6-a21e30eff0bd
Roberts, Aaron
a2fb35d9-a42f-4a07-848d-01cecae9d893
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
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.
.
(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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e-pub ahead of print date: 2 June 2019
Published date: 2020
Additional Information:
Funding Information:
Acknowledgements. We would like to thank Sean Tennant for the technical support provided during the design and construction of the Faraday cage. We would also like to thank Jodie Woodgate for her help during testing and calibrating psychophysiological equipment. This work was supported by Jaguar Land Rover and the UK-EPSRC grant EP/N011899/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme.
Publisher Copyright:
© Springer Nature Switzerland AG 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
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Date deposited: 06 Feb 2020 17:31
Last modified: 06 Jun 2024 01:47
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Author:
Sylwia Izabela Kaduk
Editor:
Daniel N. Cassenti
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