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|a 10.1007/978-981-4585-69-9
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|a Premaratne, Prashan.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Human Computer Interaction Using Hand Gestures
|h [electronic resource] /
|c by Prashan Premaratne.
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| 250 |
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|a 1st ed. 2014.
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| 264 |
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1 |
|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a XV, 174 p. 158 illus., 86 illus. in color.
|b online resource.
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|a Cognitive Science and Technology,
|x 2195-3988
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|a Springer eBook Collection
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|a Chapter Description -- Historical Development of Hand Gesture Recognition -- Pre-processing -- Feature Extraction -- Effective Hand Gesture Classification Approaches -- Sign Languages of the World -- Future Trends in Hand Gesture Recognition.
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| 520 |
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|a Human computer interaction (HCI) plays a vital role in bridging the 'Digital Divide', bringing people closer to consumer electronics control in the 'lounge'. Keyboards and mouse or remotes do alienate old and new generations alike from control interfaces. Hand Gesture Recognition systems bring hope of connecting people with machines in a natural way. This will lead to consumers being able to use their hands naturally to communicate with any electronic equipment in their 'lounge.' This monograph will include the state of the art hand gesture recognition approaches and how they evolved from their inception. The author would also detail his research in this area for the past 8 years and how the future might turn out to be using HCI. This monograph will serve as a valuable guide for researchers (who would endeavour into) in the world of HCI.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Computational intelligence.
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| 650 |
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|a User interfaces (Computer systems).
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| 650 |
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|a Control engineering.
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| 650 |
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|a Robotics.
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| 650 |
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|a Mechatronics.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Engineering design.
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| 650 |
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|a Optical data processing.
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