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Development of a Hybrid Method to Generate Gravito-inertial Cues for Motion Platforms in Highly Immersive Environments

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Development of a Hybrid Method to Generate Gravito-inertial Cues for Motion Platforms in Highly Immersive Environments

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dc.contributor.author Riera, José V.
dc.contributor.author Casas Yrurzum, Sergio
dc.contributor.author Fernández Marín, Marcos
dc.contributor.author Alonso Plá, Francisco Manuel
dc.contributor.author Useche, Sergio A.
dc.date.accessioned 2022-02-01T17:32:20Z
dc.date.available 2022-02-01T17:32:20Z
dc.date.issued 2021
dc.identifier.citation Riera, José V. Casas Yrurzum, Sergio Fernández Marín, Marcos Alonso Plá, Francisco Manuel Useche, Sergio A. 2021 Development of a Hybrid Method to Generate Gravito-inertial Cues for Motion Platforms in Highly Immersive Environments Sensors 21 23 8079
dc.identifier.uri https://hdl.handle.net/10550/81471
dc.description.abstract Motion platforms have been widely used in Virtual Reality (VR) systems for decades to simulate motion in virtual environments, and they have several applications in emerging fields such as driving assistance systems, vehicle automation and road risk management. Currently, the development of new VR immersive systems faces unique challenges to respond to the user's requirements, such as introducing high-resolution 360° panoramic images and videos. With this type of visual information, it is much more complicated to apply the traditional methods of generating motion cues, since it is generally not possible to calculate the necessary corresponding motion properties that are needed to feed the motion cueing algorithms. For this reason, this paper aims to present a new method for generating non-real-time gravito-inertial cues with motion platforms using a system fed both with computer-generated¿simulation-based¿images and video imagery. It is a hybrid method where part of the gravito-inertial cues¿those with acceleration information¿are generated using a classical approach through the application of physical modeling in a VR scene utilizing washout filters, and part of the gravito-inertial cues¿the ones coming from recorded images and video, without acceleration information¿were generated ad hoc in a semi-manual way. The resulting motion cues generated were further modified according to the contributions of different experts based on a successive approximation¿Wideband Delphi-inspired¿method. The subjective evaluation of the proposed method showed that the motion signals refined with this method were significantly better than the original non-refined ones in terms of user perception. The final system, developed as part of an international road safety education campaign, could be useful for developing further VR-based applications for key fields such as driving assistance, vehicle automation and road crash prevention.
dc.language.iso eng
dc.relation.ispartof Sensors, 2021, vol. 21, num. 23, p. 8079
dc.subject Seguretat viària
dc.title Development of a Hybrid Method to Generate Gravito-inertial Cues for Motion Platforms in Highly Immersive Environments
dc.type journal article es_ES
dc.date.updated 2022-02-01T17:32:24Z
dc.identifier.doi 10.3390/s21238079
dc.identifier.idgrec 149649
dc.rights.accessRights open access es_ES

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