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    Computer vision for human-machine interaction

    Access Status
    Fulltext not available
    Authors
    Ke, Q.
    Liu, J.
    Bennamoun, M.
    An, Senjian
    Sohel, F.
    Boussaid, F.
    Date
    2018
    Type
    Book Chapter
    
    Metadata
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    Citation
    Ke, Q. and Liu, J. and Bennamoun, M. and An, S. and Sohel, F. and Boussaid, F. 2018. Computer vision for human-machine interaction. In Computer Vision For Assistive Healthcare, 127-145.
    Source Title
    Computer Vision For Assistive Healthcare
    DOI
    10.1016/B978-0-12-813445-0.00005-8
    ISBN
    9780128134450
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/74557
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Elsevier Ltd. All rights reserved. Human-machine interaction (HMI) refers to the communication and interaction between a human and a machine via a user interface. Nowadays, natural user interfaces such as gestures have gained increasing attention as they allow humans to control machines through natural and intuitive behaviors. In gesture-based HMI, a sensor such as Microsoft Kinect is used to capture the human postures and motions, which are processed to control a machine. The key task of gesture-based HMI is to recognize the.

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