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Experiencing real 3D gestural interaction with mobile devices
Digital Media Lab., Department of Applied Physics and Electronics, Umeå University.
Digital Media Lab., Department of Applied Physics and Electronics, Umeå University. (MID)
KTH, School of Computer Science and Communication (CSC). Digital Media Lab., Department of Applied Physics and Electronics, Umeå University.ORCID iD: 0000-0003-3779-5647
2013 (English)In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 34, no 8, 912-921 p.Article in journal (Refereed) Published
Abstract [en]

Number of mobile devices such as smart phones or Tablet PCs has been dramatically increased over the recent years. New mobile devices are equipped with integrated cameras and large displays which make the interaction with the device more efficient. Although most of the previous works on interaction between humans and mobile devices are based on 2D touch-screen displays, camera-based interaction opens a new way to manipulate in 3D space behind the device, in the camera's field of view. In this paper, our gestural interaction heavily relies on particular patterns from local orientation of the image called Rotational Symmetries. This approach is based on finding the most suitable pattern from a large set of rotational symmetries of different orders that ensures a reliable detector for hand gesture. Consequently, gesture detection and tracking can be hired as an efficient tool for 3D manipulation in various applications in computer vision and augmented reality. The final output will be rendered into color anaglyphs for 3D visualization. Depending on the coding technology, different low cost 3D glasses can be used for the viewers.

Place, publisher, year, edition, pages
2013. Vol. 34, no 8, 912-921 p.
Keyword [en]
3D mobile interaction, Rotational symmetries, Gesture detection, SIFT, Gesture tracking, stereoscopic visualization
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-141805DOI: 10.1016/j.patrec.2013.02.004ISI: 000318129200010Scopus ID: 2-s2.0-84893684743OAI: oai:DiVA.org:kth-141805DiVA: diva2:698782
Note

QC 20150624

Available from: 2014-02-25 Created: 2014-02-25 Last updated: 2017-12-05Bibliographically 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. xii, 101 p.
Series
TRITA-CSC-A, ISSN 1653-5723 ; 14:02
Keyword
3D gestural interaction, gesture recognition, gesture tracking, 3D visualization, 3D motion analysis, augmented environments
National Category
Engineering and Technology
Research subject
Media Technology
Identifiers
urn:nbn:se:kth:diva-141938 (URN)978-91-7595-031-0 (ISBN)
Public defence
2014-03-17, F3, Lindstedtsvägen 26, KTH, Stockholm, 13:15 (English)
Opponent
Supervisors
Note

QC 20140226

Available from: 2014-02-26 Created: 2014-02-26 Last updated: 2014-02-26Bibliographically approved

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Li, Haibo

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