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dc.contributor.authorKe, Q.
dc.contributor.authorLiu, J.
dc.contributor.authorBennamoun, M.
dc.contributor.authorAn, Senjian
dc.contributor.authorSohel, F.
dc.contributor.authorBoussaid, F.
dc.date.accessioned2019-02-19T04:17:21Z
dc.date.available2019-02-19T04:17:21Z
dc.date.created2019-02-19T03:58:21Z
dc.date.issued2018
dc.identifier.citationKe, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/74557
dc.identifier.doi10.1016/B978-0-12-813445-0.00005-8
dc.description.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.

dc.titleComputer vision for human-machine interaction
dc.typeBook Chapter
dcterms.source.startPage127
dcterms.source.endPage145
dcterms.source.titleComputer Vision For Assistive Healthcare
dcterms.source.isbn9780128134450
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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