Action Recognition and Understanding using Motor Primitives

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— We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative support vector machines and generative hidden Markov models. The experimental evaluation, performed with 10 people, investigates both deﬁnition and structure of primitive motions as well as the validity of the modeling approach taken.

Ville Kyrki, Isabel Serrano Vicente, Danica Kragic

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Arm Manipulation Actions | Discriminative Support Vector | Generative Hidden Markov | Robotics | ROMAN 2007 |

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Added	04 Jun 2010
Updated	04 Jun 2010
Type	Conference
Year	2007
Where	roman
Authors	Ville Kyrki, Isabel Serrano Vicente, Danica Kragic, Jan-Olof Eklundh

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Action Recognition and Understanding using Motor Primitives

Arm Manipulation Actions | Discriminative Support Vector | Generative Hidden Markov | Robotics | ROMAN 2007 |

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