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

Hyunduk Kim, Sang Heon Lee, Myoung Kyu Sohn

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Article number02011
JournalMATEC Web of Conferences
Volume56
DOIs
StatePublished - 26 Apr 2016
Event2016 8th International Conference on Computer and Automation Engineering, ICCAE 2016 - Melbourne, Australia
Duration: 3 Mar 20164 Mar 2016

Bibliographical note

Publisher Copyright:
© 2016 Owned by the authors, published by EDP Sciences.

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