Human Motion Capture Data Segmentation Based on LLE Algorithm

Shu Lu Zhang; Dong Sheng Zhou; Qiang Zhang

doi:10.4028/www.scientific.net/AMM.538.481

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 538Human Motion Capture Data Segmentation Based on...

Human Motion Capture Data Segmentation Based on LLE Algorithm

Abstract:

In this paper, we propose the motion sequence segmentation based on LLE (Locally Linear Embedding) algorithm. The method is to reduce the dimension of the high dimension motion sequence to obtain one-dimension feature curve. Then we use the feature curve to achieve motion sequence segmentation. Simulation results demonstrate that this method can achieve motion sequences segmentation and improve the accuracy rate greatly compared with the traditional algorithm.

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Periodical:

Applied Mechanics and Materials (Volume 538)

Pages:

481-485

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.538.481

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Online since:

April 2014

Authors:

Shu Lu Zhang, Dong Sheng Zhou, Qiang Zhang*

Keywords:

Manifold Learning, Motion Segmentation, PCA

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* - Corresponding Author

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