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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. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, 388-396.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BB78-F Version Permalink: https://hdl.handle.net/21.11116/0000-0002-0AD9-F
Genre: Conference Paper

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 Creators:
Chiappa, S, Author           
Peters, J1, 2, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 6742
 Degree: -

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Title: Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010)
Place of Event: Vancouver, BC, Canada
Start-/End Date: 2010-12-06 - 2010-12-11

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Title: Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010
Source Genre: Journal
 Creator(s):
Lafferty, J, Editor
Williams, CKI, Editor
Zemel, RS, Editor
Shawe-Taylor, J, Editor
Culotta, A, Editor
Affiliations:
-
Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 388 - 396 Identifier: ISBN: 978-1-617-82380-0