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dc.contributor.authorPavlov, A. S.en_US
dc.contributor.authorIsrael, J. H.en_US
dc.contributor.authorKeppler, S.en_US
dc.contributor.editorMaiero, Jens and Weier, Martin and Zielasko, Danielen_US
dc.date.accessioned2021-09-15T18:36:27Z
dc.date.available2021-09-15T18:36:27Z
dc.date.issued2021
dc.identifier.isbn978-3-03868-159-5
dc.identifier.issn1727-530X
dc.identifier.urihttps://doi.org/10.2312/egve.20211338
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20211338
dc.description.abstractWith the growing demand for real-time collaboration in distributed immersive environments, e.g. in mechanical engineering or health care, a need for synchronisation of user's fine motor movements is gaining significance. This paper presents the evaluation of several popular optimization strategies for synchronization of fine motor movements. The evaluation was performed using a dedicated simulation software which recorded several network metrics and transformation errors. Fine motorics included hand and finger movements, which were recorded using the finger tracking system Leap Motion. It was shown that a combination of Cubic Hermite Spline Interpolation for spatial positions and Squad Interpolation for spatial rotations with Local Lag for time synchronization provided the smallest average position error among all clients at a 10 Hz tick rate.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectCollaborative and social computing
dc.titleEvaluation of Optimization Strategies for Synchronization of Fine Motor Movements in Distributed Real-Time Systemsen_US
dc.description.seriesinformationICAT-EGVE 2021 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos
dc.description.sectionheadersPoster
dc.identifier.doi10.2312/egve.20211338
dc.identifier.pages11-12


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