dc.contributor.authorGu, William
dc.contributor.authorSeet, Gerald
dc.contributor.authorMagnenat-Thalmanna, Nadia
dc.date.accessioned2018-05-22T08:45:58Z
dc.date.available2018-05-22T08:45:58Z
dc.date.issued2017
dc.identifier.citationGu, W., Seet, G., & Magnenat-Thalmanna, N. (2017). Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot. Robotics, 6(3), 16-.en_US
dc.identifier.issn2218-6581en_US
dc.identifier.urihttp://hdl.handle.net/10220/44859
dc.description.abstractA customizable anthropomorphic telepresence robot (CATR) is an emerging medium that might have the highest degree of social presence among the existing mediated communication mediums. Unfortunately, there are problems with teleoperating a CATR, and these problems can deteriorate the gesture motion in a CATR. These problems are the disruption during decoupling, discontinuity due to the unstable transmission and jerkiness due to the reactive collision avoidance. From the review, none of the existing interfaces can simultaneously fix all of the problems. Hence, a novel framework with the perception-link behavior model (PLBM) was proposed. The PLBM adopts the distributed spatiotemporal representation for all of its input signals. Equipping it with other components, the PLBM can solve the above problems with some limitations. For instance, the PLBM can retrieve missing modalities from its experience during decoupling. Next, the PLBM can handle up to a high level of drop rate in the network connection because it is dealing with gesture style and not pose. For collision prevention, the PLBM can tune the incoming gesture style so that the CATR can deliberately and smoothly avoid a collision. In summary, the framework consists of PLBM being able to increase the user’s presence on a CATR by synthesizing expressive user gestures.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.format.extent26 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesRoboticsen_US
dc.rights© 2017 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectGesture Synthesisen_US
dc.subjectUnsupervised Modelingen_US
dc.titlePerception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Roboten_US
dc.contributor.researchRobotics Research Centreen_US
dc.contributor.researchInstitute for Media Innovation
dc.identifier.doihttp://dx.doi.org/10.3390/robotics6030016
dc.description.versionPublished versionen_US


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