Computer vision for human-machine interaction
© 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 throu...
| Main Authors: | , , , , , |
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| Format: | Book Chapter |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/74557 |
| _version_ | 1848763308756172800 |
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| author | Ke, Q. Liu, J. Bennamoun, M. An, Senjian Sohel, F. Boussaid, F. |
| author_facet | Ke, Q. Liu, J. Bennamoun, M. An, Senjian Sohel, F. Boussaid, F. |
| author_sort | Ke, Q. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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. |
| first_indexed | 2025-11-14T11:01:24Z |
| format | Book Chapter |
| id | curtin-20.500.11937-74557 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:01:24Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-745572019-02-19T05:36:19Z Computer vision for human-machine interaction Ke, Q. Liu, J. Bennamoun, M. An, Senjian Sohel, F. Boussaid, F. © 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. 2018 Book Chapter http://hdl.handle.net/20.500.11937/74557 10.1016/B978-0-12-813445-0.00005-8 restricted |
| spellingShingle | Ke, Q. Liu, J. Bennamoun, M. An, Senjian Sohel, F. Boussaid, F. Computer vision for human-machine interaction |
| title | Computer vision for human-machine interaction |
| title_full | Computer vision for human-machine interaction |
| title_fullStr | Computer vision for human-machine interaction |
| title_full_unstemmed | Computer vision for human-machine interaction |
| title_short | Computer vision for human-machine interaction |
| title_sort | computer vision for human-machine interaction |
| url | http://hdl.handle.net/20.500.11937/74557 |