Decomposition of human motion into dynamics-based primitives with application to drawing tasks
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.
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.Attached Files
Submitted - perona_delvecchioAuto03.pdf
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Additional details
- Eprint ID
- 47613
- DOI
- 10.1016/S0005-1098(03)00250-4
- Resolver ID
- CaltechAUTHORS:20140730-101719175
- NSF9402726
- NSF Engineering Research Center for Neuromorphic Systems Engineering (CNSE)
- N00014-01-1-0890
- Office of Naval Research (ONR)
- Created
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2014-08-18Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field