Abstract
We present a Matlab toolbox for synthesis and visualization of human motion style. The aim is to support development of expressive virtual characters by providing implementations of several style related motion synthesis methods thus allowing side-by-side comparisons. The implemented methods are based on recorded (captured or synthetic) motions, and include linear motion interpolation and extrapolation, style transfer, rotation swapping per body part and per quaternion channel, frequency band scaling and swapping, and Principal/Independent Component Analysis (PCA/ICA) based synthesis and component swapping.
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Acknowledgements
This work has been supported by the Kone Foundation through the project Social eMotions, and the Hecse graduate school. We also thank people behind the open source Matlab libraries/functions FastICA, GPMat, Quaternion Toolbox, ScreenCapture, Slerp, and SpinCalc.
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Förger, K., Takala, T. (2015). A Motion Style Toolbox. In: Brinkman, WP., Broekens, J., Heylen, D. (eds) Intelligent Virtual Agents. IVA 2015. Lecture Notes in Computer Science(), vol 9238. Springer, Cham. https://doi.org/10.1007/978-3-319-21996-7_36
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DOI: https://doi.org/10.1007/978-3-319-21996-7_36
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