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http://bura.brunel.ac.uk/handle/2438/11261
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DC Field | Value | Language |
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dc.contributor.author | Wang, Z | - |
dc.contributor.author | Zhang, Z | - |
dc.contributor.author | Wang, F | - |
dc.contributor.author | Sun, Y | - |
dc.date.accessioned | 2015-08-20T11:48:24Z | - |
dc.date.available | 2014-03-01 | - |
dc.date.available | 2015-08-20T11:48:24Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Journal of Information and Computational Science, 11(4): 1037 - 1045, (2014) | en_US |
dc.identifier.issn | 1548-7741 | - |
dc.identifier.uri | http://www.joics.com/publishedpapers.aspx | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/11261 | - |
dc.description.abstract | Vision-based human-computer interaction is becoming important nowadays. It offers natural interaction with computers and frees users from mechanical interaction devices, which is favourable especially for wearable computers. This paper presents a human-computer interaction system based on a conventional webcam and hand gesture recognition. This interaction system works in real time and enables users to control a computer cursor with hand motions and gestures instead of a mouse. Five hand gestures are designed on behalf of five mouse operations: moving, left click, left-double click, right click and no-action. An algorithm based on Particle Filter is used for tracking the hand position. PCA-based feature selection is used for recognizing the hand gestures. A transition network is also employed for improving the accuracy and reliability of the interaction system. This interaction system shows good performance in the recognition and interaction test. | en_US |
dc.format.extent | 1037 - 1045 | - |
dc.language.iso | en | en_US |
dc.publisher | Binary Information Press | en_US |
dc.subject | Human computer interaction | en_US |
dc.subject | Hand gesture recognition | en_US |
dc.subject | Hand tracking | en_US |
dc.subject | Principle component analysis | en_US |
dc.subject | Particle filter | en_US |
dc.title | Vision-based hand gesture interaction using particle filter, principle component analysis and transition network | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.12733/jics20102890 | - |
dc.relation.isPartOf | Journal of Information and Computational Science | - |
pubs.issue | 4 | - |
pubs.volume | 11 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 772.13 kB | Adobe PDF | View/Open |
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