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Modeling and recognition of actions through motor primitives
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.ORCID iD: 0000-0003-2965-2953
2008 (English)In: 2008 IEEE International Conference On Robotics And Automation: Vols 1-9, 2008, 1704-1709 p.Conference paper, Published paper (Refereed)
Abstract [en]

We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination of discriminative (support vector machines, conditional random fields) and generative approaches (hidden Markov models). We examine the hypothesis that complex actions can be represented as a sequence of motion or action primitives. The experimental evaluation, performed with five object manipulation actions and 10 people, investigates the modeling approach of the primitive action structure and compares the performance of the considered generative and discriminative models.

Place, publisher, year, edition, pages
2008. 1704-1709 p.
Series
IEEE International Conference On Robotics And Automation, ISSN 1050-4729
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-38780DOI: 10.1109/ROBOT.2008.4543446ISI: 000258095001058Scopus ID: 2-s2.0-51649098561ISBN: 978-1-4244-1646-2 (print)OAI: oai:DiVA.org:kth-38780DiVA: diva2:438626
Conference
2008 IEEE International Conference on Robotics and Automation, ICRA 2008; Pasadena, CA; 19 May 2008 through 23 May 2008
Available from: 2011-09-05 Created: 2011-08-31 Last updated: 2012-01-23Bibliographically approved

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Kragic, Danica

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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