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  Movement extraction by detecting dynamics switches and repetitions

Chiappa, S., & Peters, J. (2011). Movement extraction by detecting dynamics switches and repetitions. In J. Lafferty Williams C.K.I., J. Shawe-Taylor, R. S. Zemel, & A. Culotta (Eds.), 24th Annual Conference on Neural Information Processing Systems (NIPS 2010) (pp. 388-396). Red Hook, NY, USA: Curran.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-4CDF-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-7FB7-C
Genre: Conference Paper

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 Creators:
Chiappa, S.1, Author
Peters, J.2, Author              
Affiliations:
1Max Planck Society, ou_persistent13              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: MPI für Intelligente Systeme; Abt. Schölkopf;
 Abstract: Many time-series such as human movement data consist of a sequence of basic actions, e.g., forehands and backhands in tennis. Automatically extracting and characterizing such actions is an important problem for a variety of different applications. In this paper, we present a probabilistic segmentation approach in which an observed time-series is modeled as a concatenation of segments corresponding to different basic actions. Each segment is generated through a noisy transformation of one of a few hidden trajectories representing different types of movement, with possible time re-scaling. We analyze three different approximation methods for dealing with model intractability, and demonstrate how the proposed approach can successfully segment table tennis movements recorded using a robot arm as haptic input device.

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 Dates: 2011-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 24th Annual Conference on Neural Information Processing Systems (NIPS 2010
Place of Event: Vancouver, BC, Canada
Start-/End Date: 2010-12-06 - 2010-12-09

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Title: 24th Annual Conference on Neural Information Processing Systems (NIPS 2010)
Source Genre: Proceedings
 Creator(s):
Lafferty Williams C.K.I., J., Editor
Shawe-Taylor, J., Editor
Zemel, R. S., Editor
Culotta, A, Editor
Affiliations:
-
Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 388 - 396 Identifier: -

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Title: Advances in Neural Information Processing Systems
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 23 Sequence Number: - Start / End Page: - Identifier: -