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Human Computer Interaction Using Hand Gestures [electronic resource] / by Prashan Premaratne.

By: Premaratne, Prashan [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Cognitive Science and Technology: Publisher: Singapore : Springer Singapore : Imprint: Springer, 2014Description: XV, 174 p. 158 illus., 86 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789814585699.Subject(s): Engineering | User interfaces (Computer systems) | Artificial intelligence | Computer graphics | Computational intelligence | Engineering design | Control engineering | Robotics | Mechatronics | Engineering | Computational Intelligence | User Interfaces and Human Computer Interaction | Control, Robotics, Mechatronics | Artificial Intelligence (incl. Robotics) | Engineering Design | Computer Imaging, Vision, Pattern Recognition and GraphicsAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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