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A Skeleton Posture Transfer Method from Kinect Capture

Zhengjie Deng,Shuqian He,Mengyan Zhang,Yizhen Wang

Published 2022 in 2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence (VRHCIAI)

ABSTRACT

At present, 3D models are applied to many fields, and the action control of 3D model needs be studied further. In order to control a 3D model using user-acceptable devices, this paper proposes a method to transfer the posture of the skeleton captured by Kinect to a skeleton of the Soldier model, which is a sample in Microsoft's DirectX SDK. First, using the Kinect to collect the user's skeleton information, combined with the initial posture of the Soldier skeleton, through node matching, inverse mirror transformation, transformation from absolute to relative, coordinate space transformation, to generate a skeleton with the same structure as the Soldier skeleton, which can be applied to the Soldier model. And in a virtual reality scene, the corresponding actions of users can drive the Soldier model. Experiments show that the method is feasible and effective. The proposed method can also be referenced and applied to a target skeleton with other structures.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence (VRHCIAI)

  • Publication date

    2022-10-01

  • Fields of study

    Not labeled

  • Identifiers
    DOI 10.1109/VRHCIAI57205.2022.00033
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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