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  Perception-Based Motion Cueing: A Cybernetics Approach to Motion Simulation

Pretto, P., Venrooij, J., Nesti, A., & Bülthoff, H. (2015). Perception-Based Motion Cueing: A Cybernetics Approach to Motion Simulation. In S.-W. Lee, H. Müller, & K.-R. Müller (Eds.), Recent Progress in Brain and Cognitive Engineering (pp. 131-152). Dordrecht, The Netherlands: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-47CF-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-B500-3
Genre: Book Chapter

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 Creators:
Pretto, P1, Author              
Venrooij, J1, Author              
Nesti, A1, Author              
Bülthoff, HH1, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: The goal of vehicle motion simulation is the realistic reproduction of the perception a human observer would have inside the moving vehicle by providing realistic motion cues inside a motion simulator. Motion cueing algorithms play a central role in this process by converting the desired vehicle motion into simulator input commands with maximal perceptual fidelity, while remaining within the limited workspace of the motion simulator. By understanding how the one’s own body motion through the environment is transduced into neural information by the visual, vestibular and somatosensory systems and how this information is processed in order to create a whole percept of self-motion we can qualify the perceptual fidelity of the simulation. In this chapter, we address how a deep understanding of the functional principles underlying self-motion perception can be exploited to develop new motion cueing algorithms and, in turn, how motion simulation can increase our understanding of the brain’s perceptual processes. We propose a perception-based motion cueing algorithm that relies on knowledge about human self-motion perception and uses it to calculate the vehicle motion percept, i.e. how the motion of a vehicle is perceived by a human observer. The calculation is possible through the use of a self-motion perception model, which simulate the brain’s motion perception processes. The goal of the perception-based algorithm is then to reproduce the simulator motion that minimizes the difference between the vehicle’s desired percept and the actual simulator percept, i.e. the “perceptual error”. Finally, we describe the first experimental validation of the new motion cueing algorithm and shown that an improvement in the current standards of motion cueing is possible.

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 Dates: 2015
 Publication Status: Published in print
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 Rev. Method: -
 Identifiers: DOI: 10.1007/978-94-017-7239-6_9
BibTex Citekey: PrettoVNB2015
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Title: Recent Progress in Brain and Cognitive Engineering
Source Genre: Book
 Creator(s):
Lee, S.-W., Editor
Müller, H.H., Editor
Müller, K.-R., Editor
Affiliations:
-
Publ. Info: Dordrecht, The Netherlands : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 131 - 152 Identifier: ISBN: 978-94-017-7238-9

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Title: Trends in Augmentation of Human Performance ; 5
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