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  Simulating believable forward accelerations on a stewart motion platform

Berger, D., Schulte-Pelkum, J., & Bülthoff, H. (2010). Simulating believable forward accelerations on a stewart motion platform. ACM Transactions on Applied Perception, 7(1): 5, pp. 1-27. doi:10.1145/1658349.1658354.

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Berger, DR1, 2, Author           
Schulte-Pelkum, J1, 2, Author           
Bülthoff, HH1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: It is still an unsolved problem how to optimally simulate self-motion using motion simulators. We investigated how a forward acceleration can be simulated as believably as possible on a hexapod motion platform equipped with a projection screen.
Human participants rated the believability of brief forward accelerations. These were simulated as visual forward accelerations over a ground plane with people as size cues, presented together with brief forward surge translations and backward pitches of the platform, and synchronous random up--down movements of the camera in the visual scene and the platform. The magnitudes of all of the parameters were varied independently across trials.
Even though variability between participants was high, the most believable simulation occurred when visual accelerations were combined with backward pitches of the platform, which changed the gravitoinertial vector direction approximately consistent with the visual acceleration. However, a wide range of platform pitches was accepted as believable. With high visual acceleration cues most participants reported trials as realistic even when the platform tilt rate was above vestibular canal thresholds reported in other works. Other manipulated parameters had only a mild influence on the responses. These results can be used to optimize motion-cueing algorithms for simulating linear accelerations in motion simulators.

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 Dates: 2010-01
 Publication Status: Issued
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 Identifiers: DOI: 10.1145/1658349.1658354
BibTex Citekey: 4199
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Title: ACM Transactions on Applied Perception
Source Genre: Journal
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Publ. Info: New York, NY : Association for Computing Machinery
Pages: - Volume / Issue: 7 (1) Sequence Number: 5 Start / End Page: 1 - 27 Identifier: ISSN: 1544-3558
CoNE: https://pure.mpg.de/cone/journals/resource/111056648028200