Character motion control by hands and principal component analysis
Masaki Oshita, Hayato Oshima, Yuta Senju, Syun Morishige
Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2014, pp. 171--179.
Abstract: In this paper, we propose an interactive character motion control interface that uses hands. Using their hands and fingers, the user can control a large number of degrees-of-freedom (DOFs) at the same time. We applied principal component analysis (PCA) to a set of sample poses, and assigned the extracted principal components to each DOF of the hands (such as the hand positions and finger bending/extending angles). The user can control the blending weights of the principal components and deform the character's pose by moving their hands and bending/extending their fingers. We introduced pose and action controls, so that we can alter the standing pose and perform various actions with deformations. So that various types of actions were possible, we constructed a number of action models in advance. We introduced action model selection and action execution mechanisms. We developed methods for computing the feature vector, for applying PCA, and for pose and action synthesis. We present our experimental results and demonstrate the effectiveness of our interface.
Article URL: http://doi.acm.org/10.1145/2670473.2670476
BibTeX format:
@inproceedings{10.1145-2670473.2670476,
  author = {Masaki Oshita and Hayato Oshima and Yuta Senju and Syun Morishige},
  title = {Character motion control by hands and principal component analysis},
  booktitle = {Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry},
  pages = {171--179},
  year = {2014},
}
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