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Fast Hand-Object Interaction Using Gesture Guide Optimization

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we present a fast approach to model the interactions between the human hand with virtual objects. Given a detailed hand model, we adopt a gesture guided optimization to find the stable poses for manipulating the virtual object. During this process, we identify user's gesture with predefined proposition-based descriptions script and re-tracked hand pose, then generate the contact points using the gesture prior. Begin with these points, we compute the stable pose for interaction and then obtain plausible looking motion. In practice, our real-time algorithm can perform common manipulation in less than 20 ms (run on a single CPU) with virtual objects.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages793-794
Number of pages2
ISBN (Electronic)9781728165325
DOIs
StatePublished - Mar 2020
Event2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020 - Atlanta, United States
Duration: 22 Mar 202026 Mar 2020

Publication series

NameProceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020

Conference

Conference2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
Country/TerritoryUnited States
CityAtlanta
Period22/03/2026/03/20

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