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Visual-based interface using hand gesture recognition and object tracking

Journal Article


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Abstract


  • This paper presents a novel approach for human-machine interface using visual-based

    communication. Scene analysis, object recognition and tracking, together with gesture detection

    and classification, are employed to design and implement a system for real time interaction. A new

    paradigm is proposed for efficient selection of hand gestures that can be used in other gesturebased

    environments aiming at interactive multimedia. An inexpensive web camera and readily

    available tools (such as an ordinary pen) have been used in this approach to render the system cost

    effective and suitable for general and home-based multimedia applications. Focus is placed on real

    time applications with a fast decision function for gesture classification, and a model-based

    approach for orientation detection. Experimental results demonstrate the efficacy of the proposed

    approach when tested using different performance criteria.

Publication Date


  • 2008

Citation


  • Chalechale, A. & Safaei, F. (2008). Visual-based interface using hand gesture recognition and object tracking. Iranian Journal of Science and Technology Transaction A: Science, 32 (B3), 279-293.

Scopus Eid


  • 2-s2.0-46649107319

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=10540&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3204

Has Global Citation Frequency


Number Of Pages


  • 14

Start Page


  • 279

End Page


  • 293

Volume


  • 32

Issue


  • B3

Place Of Publication


  • Iran, Islamic Republic of

Abstract


  • This paper presents a novel approach for human-machine interface using visual-based

    communication. Scene analysis, object recognition and tracking, together with gesture detection

    and classification, are employed to design and implement a system for real time interaction. A new

    paradigm is proposed for efficient selection of hand gestures that can be used in other gesturebased

    environments aiming at interactive multimedia. An inexpensive web camera and readily

    available tools (such as an ordinary pen) have been used in this approach to render the system cost

    effective and suitable for general and home-based multimedia applications. Focus is placed on real

    time applications with a fast decision function for gesture classification, and a model-based

    approach for orientation detection. Experimental results demonstrate the efficacy of the proposed

    approach when tested using different performance criteria.

Publication Date


  • 2008

Citation


  • Chalechale, A. & Safaei, F. (2008). Visual-based interface using hand gesture recognition and object tracking. Iranian Journal of Science and Technology Transaction A: Science, 32 (B3), 279-293.

Scopus Eid


  • 2-s2.0-46649107319

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=10540&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3204

Has Global Citation Frequency


Number Of Pages


  • 14

Start Page


  • 279

End Page


  • 293

Volume


  • 32

Issue


  • B3

Place Of Publication


  • Iran, Islamic Republic of