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Decomposition of human motion into dynamics-based primitives with application to drawing tasks

Del Vecchio, Domitilla and Murray, Richard M. and Perona, Pietro (2003) Decomposition of human motion into dynamics-based primitives with application to drawing tasks. Automatica, 39 (12). pp. 2085-2098. ISSN 0005-1098. https://resolver.caltech.edu/CaltechAUTHORS:20140730-101719175

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Abstract

Using tools from dynamical systems and systems identification, we develop a framework for the study of primitives for human motion, which we refer to as movemes. The objective is understanding human motion by decomposing it into a sequence of elementary building blocks that belong to a known alphabet of dynamical systems. We develop a segmentation and classification algorithm in order to reduce a complex activity into the sequence of movemes that have generated it. We test our ideas on data sampled from five human subjects who were drawing figures using a computer mouse. Our experiments show that we are able to distinguish between movemes and recognize them even when they take place in activities containing an unspecified number of movemes.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://www.sciencedirect.com/science/article/pii/S0005109803002504PublisherArticle
http://dx.doi.org/10.1016/S0005-1098(03)00250-4DOIArticle
ORCID:
AuthorORCID
Murray, Richard M.0000-0002-5785-7481
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2003 Elsevier Ltd. Received 13 August 2002; received in revised form 10 June 2003; accepted 31 July 2003. This project has been funded in part bythe NSF Engineering Research Center for Neuromorphic Systems Engineering (CNSE) at Caltech (NSF9402726), and by the ONR Grant N00014-01-1-0890 under the MURI program. The authors would like to thank all of the people who participated to the experiments presented here.
Funders:
Funding AgencyGrant Number
NSF Engineering Research Center for Neuromorphic Systems Engineering (CNSE)NSF9402726
Office of Naval Research (ONR)N00014-01-1-0890
Subject Keywords:Classification; Parameter estimation; Learning theory; Data acquisition; Computer experiments; Signal segmentation
Issue or Number:12
Record Number:CaltechAUTHORS:20140730-101719175
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20140730-101719175
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:47613
Collection:CaltechAUTHORS
Deposited By: Caroline Murphy
Deposited On:18 Aug 2014 22:17
Last Modified:03 Oct 2019 06:55

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