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Visual-based interface using hand gesture recognition and object tracking

Journal Article


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 gesture-based 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. © Shiraz University.

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 B: Engineering, 32(3), 279-293.

Scopus Eid


  • 2-s2.0-46649107319

Web Of Science Accession Number


Start Page


  • 279

End Page


  • 293

Volume


  • 32

Issue


  • 3

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 gesture-based 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. © Shiraz University.

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 B: Engineering, 32(3), 279-293.

Scopus Eid


  • 2-s2.0-46649107319

Web Of Science Accession Number


Start Page


  • 279

End Page


  • 293

Volume


  • 32

Issue


  • 3