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3D gesture analysis using a large-scale gesture database
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID.
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-3779-5647
2014 (English)In: Advances in Visual Computing (ISVC 2014), Pt 1, Springer, 2014, Vol. 8887, 206-217 p.Conference paper (Refereed)
Abstract [en]

3D gesture analysis is a highly desired feature of future interaction design. Specifically, in augmented environments, intuitive interaction with the physical space seems unavoidable and 3D gestural interaction might be the most effective alternative for the current input facilities. This paper, introduces a novel solution for real-time 3D gesture analysis using an extremely large gesture database. This database includes the images of various articulated hand gestures with the annotated 3D position/orientation parameters of the hand joints. Our unique search algorithm is based on the hierarchical scoring of the low-level edge-orientation features between the query input and database and retrieving the best match. Once the best match is found from the database in real-time, the pre-calculated 3D parameters can instantly be used for gesture-based interaction.

Place, publisher, year, edition, pages
Springer, 2014. Vol. 8887, 206-217 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 8887
Keyword [en]
Database systems, Image matching, Augmented environments
National Category
Computer Science
URN: urn:nbn:se:kth:diva-168530ISI: 000354694000020ScopusID: 2-s2.0-84916602858ISBN: 978-3-319-14249-4ISBN: 978-3-319-14248-7OAI: diva2:818743
10th International Symposium on Visual Computing, ISVC 2014, Las Vegas, United States, 8 December 2014 through 10 December 2014

QC 20150609

Available from: 2015-06-09 Created: 2015-06-04 Last updated: 2015-06-17Bibliographically approved

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