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NUI framework based on real-time head pose estimation and hand gesture recognition

Title
NUI framework based on real-time head pose estimation and hand gesture recognition
Authors
Kim, HyundukLee, Sang-HeonSohn, Myoung-Kyu
DGIST Authors
Lee, Sang-HeonSohn, Myoung-Kyu
Issue Date
2016
Citation
2016 8th International Conference on Computer and Automation Engineering, ICCAE 2016, 56
Type
Conference
Article Type
Conference Paper
ISSN
2261-236X
Abstract
The natural user interface (NUI) is used for the natural motion interface without using device or tool such as mice, keyboards, pens and markers. In this paper, we develop natural user interface framework based on two recognition module. First module is real-time head pose estimation module using random forests and second module is hand gesture recognition module, named Hand gesture Key Emulation Toolkit (HandGKET). Using the head pose estimation module, we can know where the user is looking and what the user's focus of attention is. Moreover, using the hand gesture recognition module, we can also control the computer using the user's hand gesture without mouse and keyboard. In proposed framework, the user's head direction and hand gesture are mapped into mouse and keyboard event, respectively. © 2016 Owned by the authors, published by EDP Sciences.
URI
http://hdl.handle.net/20.500.11750/5453
DOI
10.1051/matecconf/20165602011
Publisher
EDP Sciences
Related Researcher
Files:
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Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


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