DocumentCode :
2562304
Title :
Action Recognition and Understanding using Motor Primitives
Author :
Kyrki, Ville ; Vicente, Isabel Serrano ; Kragic, Danica ; Eklundh, Jan-Olof
Author_Institution :
Lappeenranta Univ. of Technol., Lappeenranta
fYear :
2007
fDate :
26-29 Aug. 2007
Firstpage :
1113
Lastpage :
1118
Abstract :
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.
Keywords :
gesture recognition; hidden Markov models; support vector machines; action recognition; action understanding; arm manipulation actions; discriminative support vector machines; generative hidden Markov models; motor primitives; Computer vision; Hidden Markov models; Human robot interaction; Information technology; Mirrors; Performance evaluation; Robot vision systems; Support vector machine classification; Support vector machines; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on
Conference_Location :
Jeju
Print_ISBN :
978-1-4244-1634-9
Electronic_ISBN :
978-1-4244-1635-6
Type :
conf
DOI :
10.1109/ROMAN.2007.4415247
Filename :
4415247
Link To Document :
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