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Optimization of a HMM-based hand gesture recognition system using a hybrid cuckoo search algorithm
Karunya University, IND.
Karunya University, IND.
Karunya University, IND.
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics. Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
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2018 (English)In: Hybrid Metaheuristics for Image Analysis, Springer International Publishing , 2018, p. 87-114Chapter in book (Other academic)
Abstract [en]

The authors develop an advanced hand motion recognition system for virtual reality applications using a well defined stochastic mathematical approach. Hand gesture is a natural way of interaction with a computer by interpreting the primitive characteristics of gesture movement to the system. This concerns three basic issues: (1) there is no physical contact between the user and the system, (2) the rotation of the hand gesture can be determined by the geometric features, and (3) the model parameter must be optimized to improve measurement of performance. A comparative analysis of other classification techniques used in hand gesture recognition is carried out on the proposed work hybrid with the bio-inspired metaheuristic approach, namely the cuckoo search algorithm, for reducing the complex trajectory in the hidden Markov model (HMM) model. An experimental result is as to how to validate the HMM model, based on the cost value of the optimizer, in order to improve the performance measures of the system. © Springer International Publishing AG, part of Springer Nature 2018.

Place, publisher, year, edition, pages
Springer International Publishing , 2018. p. 87-114
Keywords [en]
Cuckoo search algorithm, Gesture recognition, Shape-based features, Stochastic mathematical approach, Virtual reality
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-17873DOI: 10.1007/978-3-319-77625-5_4Scopus ID: 2-s2.0-85063801071ISBN: 9783319776255 (print)ISBN: 9783319776248 (print)OAI: oai:DiVA.org:bth-17873DiVA, id: diva2:1313037
Available from: 2019-05-02 Created: 2019-05-02 Last updated: 2019-05-02Bibliographically approved

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Henesey, Lawrence

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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