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3D Gesture Analysis Using a Large-Scale Gesture Database
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2014 (English)In: Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I / [ed] Bebis, G; Boyle, R; Parvin, B; Koracin, D; McMahan, R; Jerald, J; Zhang, H; Drucker, SM; Kambhamettu, C; ElChoubassi, M; Deng, Z; Carlson, M, 2014, 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
2014. 206-217 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 8887
National Category
Human Computer Interaction
URN: urn:nbn:se:umu:diva-106166DOI: 10.1007/978-3-319-14249-4_20ISI: 000354694000020ISBN: 978-3-319-14249-4ISBN: 978-3-319-14248-7OAI: diva2:840939
10th International Symposium on Visual Computing (ISVC), DEC 08-10, 2014, Las Vegas, NV
Available from: 2015-07-09 Created: 2015-07-09 Last updated: 2016-02-23Bibliographically approved

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Li, HaiboLiu, Li
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Department of Applied Physics and Electronics
Human Computer Interaction

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