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A Direct Method for 3D Hand Pose Recovery
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
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2014 (English)In: 22nd International Conference on Pattern Recognition, 2014, 345-350 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel approach for performing intuitive 3D gesture-based interaction using depth data acquired by Kinect. Unlike current depth-based systems that focus only on classical gesture recognition problem, we also consider 3D gesture pose estimation for creating immersive gestural interaction. In this paper, we formulate gesture-based interaction system as a combination of two separate problems, gesture recognition and gesture pose estimation. We focus on the second problem and propose a direct method for recovering hand motion parameters. Based on the range images, a new version of optical flow constraint equation is derived, which can be utilized to directly estimate 3D hand motion without any need of imposing other constraints. Our experiments illustrate that the proposed approach performs properly in real-time with high accuracy. As a proof of concept, we demonstrate the system performance in 3D object manipulation. This application is intended to explore the system capabilities in real-time biomedical applications. Eventually, system usability test is conducted to evaluate the learnability, user experience and interaction quality in 3D interaction in comparison to 2D touch-screen interaction.

Place, publisher, year, edition, pages
2014. 345-350 p.
Series
International Conference on Pattern Recognition, ISSN 1051-4651
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:umu:diva-108475DOI: 10.1109/ICPR.2014.68ISI: 000359818000057ISBN: 978-1-4799-5208-3 (print)OAI: oai:DiVA.org:umu-108475DiVA: diva2:853542
Conference
22ND International Conference on Pattern Recognition (ICPR, 24–28 August 2014, Stockholm, Sweden
Available from: 2015-09-14 Created: 2015-09-11 Last updated: 2016-05-27Bibliographically approved

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Abedan Kondori, FaridOstovar, AhmadLiu, LiLi, Haibo

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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