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Effective Hand Gesture Classification Approaches

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Human Computer Interaction Using Hand Gestures

Part of the book series: Cognitive Science and Technology ((CSAT))

Abstract

Hand gestures recognition goals can only be fulfilled when gesture isolation is coupled with an effective feature extraction followed by highly efficient classification. In the context of machine vision, feature extraction and classification can be jointly called pattern recognition in which, previous known patterns are matched with a query gesture.

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  1. School of Elec., Comp. and Telecom. Eng., The University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

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Premaratne, P. (2014). Effective Hand Gesture Classification Approaches. In: Human Computer Interaction Using Hand Gestures. Cognitive Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-4585-69-9_5

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  • DOI: https://doi.org/10.1007/978-981-4585-69-9_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4585-68-2

  • Online ISBN: 978-981-4585-69-9

  • eBook Packages: EngineeringEngineering (R0)

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