Action Recognition and Understanding using Motor Primitives
2007 (English)In: 2007 RO-MAN: 16TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, 2007, 1113-1118 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
2007. 1113-1118 p.
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-63774DOI: 10.1109/ROMAN.2007.4415247ISI: 000255993700201ScopusID: 2-s2.0-48749103822ISBN: 978-142441634-9OAI: oai:DiVA.org:kth-63774DiVA: diva2:482506
16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN; Jeju; 26 August 2007 through 29 August 2007
QC 201202032012-01-242012-01-242012-02-03Bibliographically approved