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Bare-hand Gesture Recognition and Tracking through the Large-scale Image Retrieval
Linnaeus University, Faculty of Technology, Department of Media Technology. KTH, Medieteknik och interaktionsdesign, MID.ORCID iD: 0000-0003-2203-5805
KTH, Skolan för datavetenskap och kommunikation (CSC). (MID)
2014 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
SciTePress, 2014.
National Category
Signal Processing
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-40983OAI: oai:DiVA.org:lnu-40983DiVA, id: diva2:796198
Conference
9th International Conference on Computer Vision Theory and Applications (VISAPP)
Note

NQC 2014

Available from: 2014-02-25 Created: 2015-03-18 Last updated: 2017-04-19Bibliographically approved
In thesis
1. 3D Gesture Recognition and Tracking for Next Generation of Smart Devices: Theories, Concepts, and Implementations
Open this publication in new window or tab >>3D Gesture Recognition and Tracking for Next Generation of Smart Devices: Theories, Concepts, and Implementations
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The rapid development of mobile devices during the recent decade has been greatly driven by interaction and visualization technologies. Although touchscreens have signicantly enhanced the interaction technology, it is predictable that with the future mobile devices, e.g., augmentedreality glasses and smart watches, users will demand more intuitive in-puts such as free-hand interaction in 3D space. Specically, for manipulation of the digital content in augmented environments, 3D hand/body gestures will be extremely required. Therefore, 3D gesture recognition and tracking are highly desired features for interaction design in future smart environments. Due to the complexity of the hand/body motions, and limitations of mobile devices in expensive computations, 3D gesture analysis is still an extremely diffcult problem to solve.

This thesis aims to introduce new concepts, theories and technologies for natural and intuitive interaction in future augmented environments. Contributions of this thesis support the concept of bare-hand 3D gestural interaction and interactive visualization on future smart devices. The introduced technical solutions enable an e ective interaction in the 3D space around the smart device. High accuracy and robust 3D motion analysis of the hand/body gestures is performed to facilitate the 3D interaction in various application scenarios. The proposed technologies enable users to control, manipulate, and organize the digital content in 3D space.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. p. xii, 101
Series
TRITA-CSC-A, ISSN 1653-5723 ; 14:02
Keywords
3D gestural interaction, gesture recognition, gesture tracking, 3D visualization, 3D motion analysis, augmented environments
National Category
Media and Communication Technology
Research subject
Media Technology
Identifiers
urn:nbn:se:lnu:diva-40974 (URN)978-91-7595-031-0 (ISBN)
Public defence
2014-03-17, F3, Lindstedtsvägen 26, KTH, 13:15 (English)
Opponent
Supervisors
Note

QC 20140226

Available from: 2014-02-26 Created: 2015-03-18 Last updated: 2018-01-11Bibliographically approved

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Yousefi, Shahrouz

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf