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ICRA
2008
IEEE

Modeling and recognition of actions through motor primitives

8 years 8 months ago
Modeling and recognition of actions through motor primitives
— 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.
David Martínez Mercado, Danica Kragic
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICRA
Authors David Martínez Mercado, Danica Kragic
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