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Analysis of dance movements using Gaussian processes

Abstract : This work addresses the Huawei/3DLife Grand Challenge, presenting a novel method for the analysis of dance movements. The approach focuses on the decomposition of the dance movements into elementary motions. Placing this problem into a probabilistic framework, we propose to exploit Gaussian processes to accurately model the different components of the decomposition. The preliminary results, presented in this paper, are very promising. In particular, two applications are considered, illustrating the relevance of the proposed approach, namely the correction of tracking errors and the smoothing of some movements of the teacher to help toward the dance learning.
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https://hal.inria.fr/hal-00718791
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Submitted on : Wednesday, July 18, 2012 - 2:31:25 PM
Last modification on : Thursday, February 10, 2022 - 2:08:03 PM
Long-term archiving on: : Friday, December 16, 2016 - 12:52:15 AM

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  • HAL Id : hal-00718791, version 2

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Antoine Liutkus, Angélique Drémeau, Dimitrios Alexiadis, Slim Essid, Petros Daras. Analysis of dance movements using Gaussian processes. [Research Report] 2012, pp.10. ⟨hal-00718791v2⟩

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