Title: Enabling gesture interaction with 3D point cloud
Authors: Cook, Harrison
Vinh Nguyen, Quang
Simoff, Simeon
Lin Huang, Mao
Citation: WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 59-68.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf
http://hdl.handle.net/11025/29688
ISBN: 978-80-86943-58-9
ISSN: 2464-4617
Keywords: uživatelská interakce;rozpoznávání gest;prstová interakce;skokový pohyb;3D bodová mračna
Keywords in different language: user interaction;gesture recognition;finger interaction;leap motion;3D point cloud
Abstract: This paper presents a novel 3D point cloud gesture recognition system, based on an existing low-cost, accurate and easy to implement 2D point cloud gesture recognition system called $P. Our work improves recognition rates and lowers algorithmic complexity. We develop new 3D gestures, such as the GUN gesture and the SHAKE gesture, while also developing 3D poses like the L pose, OK pose, ROCK pose and PEACE pose for the LeapMotion Device. We demonstrate proposed gesture and pose methods on various 3D environments including a Monsoon mini-game, a cave painting interaction and a target practice scene. The average recognition rates for 3D gestures and poses were compared against the 2D, 3D and 3D+ recognition systems. The results indicate that most gestures in the proposed system were improved in comparison to the existing ones.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2016: Short Papers Proceedings

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